Microsoft for energy and resources

Achieve more in the energy and resources industry with trusted data and AI solutions

Start your journey

Transforming the global energy industry is not a small feat, nor one that happens without the collective work of dedicated partnerships and innovative technology. The standardized data model and secure data sharing in Microsoft Azure Data Manager for Energy along with operations data management powered by Azure AI and Microsoft Copilot can accelerate innovation across the end-to-end CCS value chain. Copilot and Azure Data Manager for Energy put data and AI to work, integrating industry datasets, applications, and other cloud services—managing intensive workloads at global scale, and quickly ingesting data for analytics and decision-making. These are high-impact capabilities that ultimately help energy companies accelerate their transition to more sustainable practices by reducing time, costs, and risks associated with their complex operational requirements.     

Enhancing energy operations with modern data management  

Data modernization is a critical component in advancing sustainability and CCS efforts within the energy sector. By leveraging Azure Data Manager for Energy, energy companies can efficiently manage and analyze vast amounts of data—enabling more accurate and comprehensive simulations of subsurface reservoirs. This capability is essential for identifying optimal CO₂ storage locations and ensuring the safe and efficient injection and storage of carbon dioxide.  

The platform’s robust, scalable, and secure data management solutions allow for real-time data integration and continuous model refinement, which are crucial for making informed decisions and mitigating risks. Additionally, Azure Data Manager for Energy’s high-performance computing capabilities enable rapid simulations, which significantly reduce the time required for planning studies and optimizing reservoir performance. These high-impact capabilities ultimately help energy companies accelerate their transition to more sustainable practices by reducing time, costs, and risks associated with their complex operational requirements. 

Harnessing the power of AI with Copilot 

Along with data modernization and robust data analytics, Azure Data Manager for Energy users will have the option to take advantage of Copilot to interact with well data. Azure Data Manager for Energy helps ingest and organize domain-specific data from across the enterprise data landscape to enhance data access, analysis, and application interoperability. Developed in alignment with OSDU® standards, Azure Data Manager for Energy helps get the right data organized within the right domain workflow while providing trustworthy data delivery that sets the stage for improved and timely analysis.  

However, the enterprise data landscape for any analysis may extend beyond domain-specific data types and require reports with different file types, as well as images, data and records stored in other databases, spreadsheets, and shared folders. Further, the entire value chain extends into data from operations, supply chain, health, safety and environment (HSE), enterprise resource planning (ERP), legal and compliance, and even social media—some of which may be hosted on external platforms.  

In these scenarios, generative AI capabilities can help users optimize data for enhanced insights—faster. One example of how to approach this is with Microsoft Fabric, an end-to-end analytics and data platform. Fabric can help integrate the data in Azure Data Manager for Energy with other adjacent data sources, ultimately preparing it for analysis and other interactions through AI and Copilot. This means users can potentially run traditional AI-powered workflows such as automated interpretation of data or event prediction through machine learning-driven algorithms. They can also leverage Copilot to chat with the data or implement intelligent search, domain-based intelligent assistants, or cross-domain intelligent advisors.  

In doing so, end users—people in roles across geoscience or petrophysics—have an easier and faster way to interact with and query their data, both within and outside Azure Data Manager for Energy. Plus, data engineers and data scientists have a foundation from which to build similar solutions for their end users. The Copilot capabilities also mean simplified research processes and the generation of valuable data insights, enabling enterprise and business unit leaders, as well as data scientists and geophysicists, to make more informed decisions and take advantage of greater efficiencies in reservoir management.  

Optimize carbon capture and storage and enhance reservoir management 

Building on the capabilities of Copilot and Azure Data Manager for Energy, we can further optimize CCS to work towards a more sustainable future. Reservoir modeling is a critical aspect of modern energy management, playing a vital role in the underground storage of CO₂. This multidisciplinary field involves the integration of geological, geophysical, thermal, and engineering data to create detailed models of subsurface reservoirs. Reservoir engineers create models that simulate the behavior of fluids within the reservoir to predict future performance and optimize injection and production strategies. With global energy demand projected to increase 47% by 2050,² the need for sustainable energy solutions and CCS is paramount.  

Microsoft is working with partners to provide the efficiency, predictive power, and speed of reservoir simulations and optimizations. Built on top of Azure Data Manager for Energy, customers can now leverage Azure’s robust enterprise capabilities in security, scalability, and reliability, while accessing its domain-specific solutions and maintaining full control over their data.   

Traditionally, identifying optimal CO₂ storage locations requires lengthy studies, sometimes spanning months or even years. The work Microsoft is doing with partners transforms this process by enabling scalable and efficient simulations. This will enable engineers to run numerous models in parallel, leveraging high-performance computing to quickly analyze vast datasets and identify the best storage locations. The ability to perform rapid simulations at scale significantly reduces the time required for planning studies.

Explore more energy solutions and resources 

At Microsoft, our dedication and commitment to accelerating the energy transition to carbon-free resources is matched only by the power of our partner ecosystem and the knowledge-sharing that makes it all possible. With Azure Data Manager for Energy, industry leaders can connect to an open ecosystem of interoperable applications from independent software vendors (ISVs) and the Microsoft ecosystem of productivity tools. By harnessing capabilities and features from across Microsoft and partner solutions, energy leaders can optimize value across their entire enterprise while working towards sustainability goals.  

Ready to dive deeper? Check out additional resources to learn more. 

• Learn how Azure Data Manager for Energy can accelerate your journey to data modernization.
• Read the Microsoft Industry Blogs: Energy and resources  to learn about themes and actions critical for energy transition.
• Learn how to achieve more in the energy and resources industry with trusted data and AI solutions from Microsoft.

¹ McKinsey & Company, Global Energy Perspective 2024, September 2024.

² S&P Global, Global energy demand to grow 47% by 2050, with oil still top source: US EIA, October 2021.

The post Driving operational efficiency and sustainability with AI and data modernization appeared first on Microsoft Industry Blogs.

Azure Data Manager for Energy

Try Azure for free

Enabling energy industry innovation through modern technology

The process of finding suitable CCS sites is costly and time consuming, and not without its own unique information security risks. Traditional energy industry technologies used during this process both increase in cost over time and contribute to the data silos that exist between the site selection process and operational concerns like site-specific safe liquid CO2 injection speeds and storage capacities. These factors have led to challenging commercial margins of CCS as a process, presenting a barrier to entry for many interested businesses.

The process is not unfamiliar to Microsoft, which has already invested in multiple large-scale CCS projects around the world, including Northern Lights, a partnership between the Norwegian government and energy companies Equinor, Shell, and TotalEnergies. Northern Lights was created to help accelerate the decarbonization of European industry and mitigate its otherwise unavoidable emissions. The project facilitates the capture and transport of industrial CO2 emissions, which it then liquifies and stores safely in the pores of saline aquifers 2,600 meters below the seafloor.

By 2030, Microsoft plans to have an established system that removes five million metric tons of carbon from the atmosphere each year. With Azure Data Manager for Energy and operations data management powered by Azure AI and Microsoft Copilot, Microsoft aims to help increase the return on investment (ROI) of CCS projects, helping customers optimize their costs with AI, automation, and the discovery of new best practices. Additionally, organizations can employ Microsoft Cloud for Sustainability—a growing set of powerful data and AI capabilities designed to help businesses create more accurate and reliable data intelligence to drive impact reduction efforts and business transformation. These solutions help users gain actionable insights to drive sustainable practices, providing visibility into sustainability performance with advanced analytics and reporting. The global Microsoft partner network, with its industry specific expertise and highly targeted CCS solutions, further strengthens these capabilities, providing customers with valuable resources and support

The path forward for carbon capture storage

There are two divergent paths ahead for the emerging CCS industry, both recursive in nature. On the first and more positive path, companies will see a clear value in negating and offsetting their carbon emissions efficiently and effectively. On the other path, companies could lack the tools that efficiently connect the dots between carbon emissions and offsets, and hence be left with a less clear value proposition. By underpinning the positive path with technology, Microsoft hopes to help industry and humanity at large meet their shared sustainability goals.

Azure Data Manager for Energy is aligned with the highly secure OSDU® and OPC Unified Architecture (OPC UA) data standards, which will ease the development of new services and workflows that transcend today’s data silos. This standardization also paves the way for the adoption of co-pilots and other time-saving AI solutions. Combining Azure Data Manager for Energy with other services, such as Microsoft Fabric, Environmental Credit Service, and Microsoft Sustainability Manager, helps organizations in the energy industry validate and demonstrate their CCS efforts and carbon credit purchases to regulators in the rapidly emerging and expanding ICM business.

Sustainability data solutions in Fabric offer unique capabilities that provide prebuilt and preconfigured Fabric resources. These resources include data stores in the form of data lakes, prebuilt notebooks, and dashboards to ingest, process, aggregate, and display data for various ESG scenarios. By combining and transforming disparate social and governance data into a standardized data lake, organizations can compute, analyze, and disclose social and governance metrics effectively. 

How scalability, standardization, and security contribute to sustainability

Data standardization and AI readiness are the first steps toward innovative capabilities, especially when paired with the hyper-scalability of Azure. During the process of identifying ideal sites for carbon storage, energy companies run multiple site-specific simulations that traditionally include the manual numerical simulation of seismic data. These simulations are time consuming, complex, and data intensive. They’re also critical to the site selection process, so when companies are given the opportunity to infuse them with AI and run them at scale, there’s massive potential for time savings and efficiency gains.

The ability to scale up the computing power required to run thousands of simulations against hundreds of potential sites when required could help shorten the CCS site selection process substantially. It could also help refine the simulations and their related data models and lead to further efficiency gains. Scaling compute back down after the simulations have been run can help energy companies not only reduce their costs, but also reduce the same carbon footprint the CCS process is helping to address. By running the simulations on Azure, energy companies are taking advantage of hyper-scalability on a cloud that has itself been carbon neutral since 2012.

After months of work going into the selection and analysis of a proper CCS site, energy companies want to make sure their data is not just secure but fully under their own control. If that information were to leak to either the public or their competitors, all that effort and investment could be lost. For this reason, Microsoft is working toward enabling Azure Data Manager for Energy on customer cloud tenants, which will grant them the control they require as well as the layered security of Microsoft managed services in the cloud. For real-time CCS operations data, Microsoft is also developing a reference architecture and toolkit to enable partners to build ICM solutions to deliver value to our customers. 

Clearer skies ahead

With Azure Data Manager for Energy and the power of Azure AI, Microsoft Copilot, and capabilities from Microsoft Cloud for Sustainability, Microsoft hopes to give the energy industry the standardization and systemization that its past technologies may not have provided. To keep global warming within 1.5 degrees, the United States Department of Energy’s Pacific Northwest National Laboratory reports that the world needs to start removing 10 gigatons of CO2 from the atmosphere annually by 2050.¹ To reach that important milestone in time, the energy industry needs a technological foundation to build its next wave of advancements upon.

If, as the Clean Air Task Force states, Europe alone has the storage capacity for 1,520 gigatons of carbon dioxide emissions, helping energy companies rapidly, cost-effectively identify and provision CCS sites is a big step in the right direction, and one which Microsoft hopes to help the energy industry take.²

Explore more on carbon management

• Discover how Microsoft is powering the future of energy with Azure Data Manager for Energy.
• Learn more and connect with us at upcoming energy events:
  • Image: August 24–25, 2024, in Houston, Texas
  • ONS: August 26–29, 2024, in Stavanger, Norway
  • SLB Digital Forum: September 16–19, 2024, in Monte Carlo, Monaco
• Find out more about Industrial Carbon Management.

¹Diverse Approach Key to Carbon Removal, Pacific Northwest National Laboratory, 2023.

2Unlocking Europe’s CO2 Storage Potential, Clean Air Task Force, 2023.

The post Enabling carbon reduction in the energy industry appeared first on Microsoft Industry Blogs.

The goal of achieving net-zero emissions by 2050 requires tremendous investment and rapid innovation. From solutions that optimize grid management and carbon capture and storage to more sustainable, resilient mines, AI technologies can help address the biggest challenges in the complex, multidimensional global energy transition.  

Microsoft for Energy and Resources

Achieve more in the energy and resources industry with trusted solutions from Microsoft.

Discover more

Accelerate the clean energy roadmap with new AI innovation 

We’re proud to share some highlights from the past year, starting with the announcement that Cognite is Microsoft Partner of the Year 2024. Cognite and finalists Scheider Electric, Accenture-Avanade, and Kongsberg exemplify the new wave of innovation currently transforming the energy sector.  

Cognite is integrating new AI advances shared at last year’s Ignite event, including Microsoft Fabric and expanded Microsoft Copilot experiences. In January 2024, Microsoft and Cognite announced a collaboration that integrates flagship product Cognite Data Fusion with Microsoft Fabric and Azure OpenAI Service. Cognite AI is a prebuilt, comprehensive AI architecture specifically designed for energy and resource companies to deliver a faster path to implementing AI. Cognite Data Fusion incorporates AI across the data stack from generative AI-powered contextualization to an intuitive natural language Copilot interface embedded in day-to-day tools. Most recently, Cognite announced a new solution, Cognite Atlas AI which brings context augmentation generation to Microsoft Azure OpenAI Service, pushing the boundaries of what language models can do for industrial organizations

Schneider Electric continues making an impact with solutions that accelerate digital transformation and sustainability. Built on Azure, the Schneider Electric EcoStruxure Grid solution portfolio shows the company’s commitment to a more digital and electric world, and together with its Grid Operations Platform as a Service, supports the growth of distributed energy resources, microgrids, energy communities, and other flexible resources across digitally planned, designed and operated lifecycles. AVEVA, part of Schneider Electric, also uses Microsoft technology to help accelerate the energy transition and support long-term decarbonization with a cloud-native industrial data and application platform to give energy companies a digital backbone to unlock, contextualize, and share data for better decision making and more profitable and efficient operations. 

Driving more sustainable, efficient operations in asset-heavy industries, Kongsberg leverages the Microsoft Cloud and AI for its Industrial Work Surface, an industrial metaverse that includes mixed reality and digital twins. The solution is designed to help energy companies improve decision-making, maximize business performance, and drive value across the organization—in support of the world’s growing demand for more secure, equitable, and sustainable energy.

Microsoft partners SLB, Halliburton, and Accenture are also innovating with Microsoft Azure Data Manager for Energy, a secure, reliable, hyperscale and fully managed cloud-based data platform service. Customers can speed toward goals by taking advantage of easy interoperability across an extensible application ecosystem. They can integrate virtually any dataset, application, or cloud service while leveraging the applications they already use from SLB, Halliburton, Accenture, and many others. The platform is expanding to new regions and offers a new developer tier pricing to increase accessibility for more partners and customers. 

We are also pleased to announce EY as the Sustainability Changemaker for the second year in a row. Creating customer tools built on Microsoft technology has positioned EY as a leader in sustainability consulting within the energy sector. With EY’s tailored solutions, decision-makers in the energy industry can now oversee transformations across their enterprises, leveraging technology and data to modernize governance structures, tackle industry-specific risks, meet environmental, social, and governance (ESG) obligations, and deliver value for both their organizations and their stakeholders. These solutions provide a comprehensive view into energy demand, verifiable and assured value chain data, and sustainability performance management, enabling energy companies to achieve their sustainability goals and enhance operational efficiency.

Sharing thought leadership at industry events 

You can learn more about Microsoft and partner innovations at Microsoft Ignite either online or in person in Chicago on November 18 to 22, 2024. This is the first Ignite event to include both customers and partners, and we hope you’ll join us to celebrate our partners and learn more about how the latest advances in AI are delivering business value to our energy customers. 

The Microsoft Energy and Resources Industry team is also excited to connect with customers and partners at upcoming events including the ONS conference in Stavanger on August 26 to 29, 2024 and the SLB Digital Forum 2024 in Monaco on September 16 to 19, 2024. These events will feature how new developments in AI and other digital technologies are transforming energy systems for a more secure, equitable, and sustainable energy future. You can always anticipate exciting news at the SLB Digital forum, where two years ago SLB announced the availability of the SLB Enterprise Data Solution, a comprehensive data management toolkit built on Azure Data Manager for Energy. The innovation is a result of the expanded strategic partnership between SLB and Microsoft, includes enhancements to Azure Data Manager for Energy, and a carbon capture and storage (CCS) initiative with Northern Lights joint venture to support global climate goals by accelerating development of scalable, cost-effective solutions for the CCS value-chain. 

Energizing the energy transition with new startups 

The climate crisis affects people globally, and an inclusive startup ecosystem is critical for helping ensure that solutions have far-reaching benefits. We are proud to support underrepresented startup founders at events like CERAWeek and through programs such as Advancing Climatetech and Clean Energy Leaders Program (ACCEL) from Greentown Labs, Browning the Green Space, and the Energy Transition Studio for Startups which we launched this year in cooperation with high-growth climate tech companies FlexDAO, Line Vision, and Utilidata. The program is designed to empower energy transition startups worldwide, and we are pleased to welcome six more companies to the first cohort, including Carbon Guardian, GridBeyond, Hygenox, IEMS, Noda Intelligent Systems, and Norwegian Hydrogen.

Investing in sustainable AI 

In addition to supporting startups, we are also engaging in strategic regional partnerships to help ensure a sustainable future and equitable access to energy and digital technologies for everyone. Microsoft is investing $1.5 billion in G42, a leading AI company based in Abu Dhabi, to co-innovate and deliver advanced AI solutions with Azure across the Middle East, central Asia, and Africa. Microsoft and G42 are partnering to invest $1 billion in a data center and Kenya, which will be powered by geothermal energy and give east Africa access to Microsoft Azure. Other global investments include a $2.2 billion investment in Malaysia’s cloud and AI transformation, and a significant commitment to enable a cloud and AI-powered future for Thailand. 

Unlocking the transformative potential of AI for sustainability also requires best practices for investment, digital and data infrastructure, resource usage—such as Microsoft’s deal with Brookfield Asset Management to invest more than $10 billion on renewable energy capacity to power data centers—policy and governance, and workforce development. To learn more about AI enablement, read the Microsoft AI and Sustainability Playbook. We are also investing in the sustainability of AI itself, with projects to optimize datacenter energy and water efficiency. 

Partnerships to advance our energy future 

This blog reflects the power of partnership and the growing importance and potential for AI in the energy industry and beyond. This has been a year of exciting change, with groundbreaking advances like the launch of Copilot+ PCs—from both Microsoft and our OEM ecosystem—partnership with OpenAI, and a rethinking of our cloud infrastructure to optimize performance and energy efficiency. 

Microsoft Copilot continues to evolve, with innovations that include the world’s first Copilot in both CRM and ERP with Microsoft Dynamics 365 Copilot. Chevron is already using Copilot in Dynamics 365 Guides to transform frontline operations and optimize its operations, empower workers, and infuse informed decisions throughout its value chain. 

Success stories like these remind us once again that people working together are at the heart of every broad-sweeping, foundational transformation. The world’s complex energy challenges demand global collaboration as we advance toward a more secure, equitable, and sustainable future in an ever-evolving ecosystem of innovation.  

Learn more about Microsoft Energy and Resources solutions 

• Energy and resources – Microsoft Industry Blogs 
• Microsoft energy partner webinar series 
• Microsoft AI solutions  
• Microsoft Azure AI services  
• Microsoft Intelligent Data Platform   

The post Microsoft partners celebrate AI innovation appeared first on Microsoft Industry Blogs.

During this wave, we’ve invested heavily in the development of copilot templates to enhance capabilities and integration across various industries. These customizable templates offer improved operational efficiency, enhanced customer engagement, and seamless integration with existing technology, all while supporting a diverse, global customer base. Copilots are valuable assets for Microsoft Industry Clouds customers, helping to drive customer and partner success. Microsoft’s partner ecosystem extends our offerings, with systems integrators and independent software vendors enabling factory data ingestion from different systems and building custom UI experiences for the copilot templates on Microsoft Azure AI.

Here’s a look at what’s been delivered since the release plans announcement in January 2024.

Microsoft Cloud for Manufacturing

Microsoft Cloud for Manufacturing is introducing new solutions in preview to optimize factory operations. These include manufacturing data solutions in Microsoft Fabric and a copilot template for factory operations on Azure AI. These solutions enable manufacturers to ingest and unify data from diverse sources, standardize and enrich data for seamless interoperability, and utilize custom copilots for querying data through conversational interfaces. Fabric allows users to maximize the value of factory data and uncover operational insights for production optimization by unifying information and operation technology data into an open and secure data platform. The copilot template for factory operations on Azure AI enhances responsiveness and streamlines communication across teams and roles.

Azure Data Manager for Agriculture

This release of Azure Data Manager for Agriculture includes new copilot templates that can empower organizations to build agriculture copilots with Microsoft Azure OpenAI Service. These templates provide a powerful tool for organizations to use generative AI and data to optimize their operations and engage better with their customers. Customers are bringing generative AI to life for farmers. ITC, a multi-industry enterprise, has created, Krishi Mitra, an AI copilot, developed using Microsoft copilot templates. With this application, ITC seeks to empower farmers by providing them with timely and relevant information that can boost productivity, increase profitability, and enhance climate resilience.

Copilot templates can support use cases based on tillage, planting, crop protection, harvesting, and other types of farm operations. Users can submit queries such as “show me active fields” or “what is the average yield for my field?”. These use cases can help input providers to plan equipment, seeds, applications, and related services and engage better with the farmer.

Using data from Azure Data Manager for Agriculture and other sources, copilots can provide insights on topics like disease risks, yield forecasts, labor needs, crop protection, weather impacts, and harvest windows. Enabling seamless retrieval of data and allowing for plugins, embedded data structures, and subprocesses to be selected as part of the query flow allows organizations to extend their copilot use cases to many roles and scenarios along the agriculture value chain.

Microsoft Cloud for Sovereignty

Microsoft Cloud for Sovereignty is a solution that helps public sector organizations use the public cloud and advanced technologies while helping meet security, sovereignty, and regulatory requirements. The latest release of Microsoft Cloud for Sovereignty introduces updates and new features to streamline the configuration and deployment of sovereign environments. Guardrails and codified architectures reduce complexity and make the process of building sovereign environments more predictable and repeatable. New preview tools include assessment, policy compiler, and drift detection analysis tools, as well as a new Azure service that allow users to create and deploy Sovereign Landing Zones (SLZs) within the Microsoft Azure Portal. Guidance includes sample reference architectures for using large language models (LLMs) and Azure OpenAI Service with SLZ, as well as guidance on workload migrations and Microsoft Power Platform and Microsoft Dataverse configurations.

Microsoft Cloud for Sustainability

In February 2024, Microsoft Cloud for Sustainability announced new data solutions and generative AI advancements in Fabric, providing new levels of speed and efficiency in processing data to help drive faster progress toward sustainability goals. These new features include sustainability data solutions in Fabric and natural language queries with Microsoft Copilot in Microsoft Sustainability Manager, among other AI-powered features now available in preview.

In March 2024, new features were added to Sustainability Manager, including the ability to create calculation models with Copilot using natural language input, a dedicated energy data model to help track energy usage, activity to emissions traceability to link underlying source activity data to emissions records, and the ability to create a Microsoft Power Query template to streamline and accelerate data import.

Additional release updates to Cloud for Sustainability include enhancements to environmental, social and governance (ESG) insights with what-if analysis to help organizations build the relationship between forecasting and reduction goal planning. Users can link forecasts to existing goals to track actual progress alongside the projected ones. In addition, forecasts with the same historical data can be layered onto a single view, allowing for faster analysis of optimal reduction opportunities.

Another new feature is the ability to import and calculate with product carbon footprint data. This feature allows you to use product carbon footprint data to calculate and understand value chain emissions in Sustainability Manager more easily. Organizations can determine the greenhouse gas emissions that are associated with a product family and more easily import and manage this data within Sustainability Manager.

Azure Data Manager for Energy

Azure Data Manager for Energy is expanding geo availability, adding the Australia east region. This additional region is enabled for both the standard and developer tiers of Azure Data Manager for Energy. Users can now select “Australia east” as a preferred region when creating an Azure Data Manager for Energy resource using the Azure portal.

External data sources (EDS) (preview) allow data from external data sources aligned with the OSDU® Technical Standard to be shared with an Azure Data Manager for Energy resource. EDS is designed to pull specified data (metadata) from OSDU-compliant data sources through scheduled jobs while leaving associated dataset files (such as LAS and SEG-Y) stored at the external source for retrieval on demand.

Microsoft Cloud for Retail

Microsoft Cloud for Retail now includes new features in its retail data solutions architecture, an industry-specific workload for unifying, enriching, and modeling industry data on Fabric. Retailers can take advantage of the available list of connectors, application templates, and business intelligence capabilities, which can be easily configured. Retail data solutions offer application templates tailored for retail-specific scenarios, accelerating time to market. These templates serve as customizable and extendable starter kits, allowing retailers to adapt them to their unique requirements. Additionally, application templates and connectors from specialized partners are available. These capabilities enable the seamless use of data to produce unique insights that can’t be achieved in isolation.

One of the new features is the copilot capabilities in Fabric, which bring new ways to transform and analyze data, generate insights, and create visualizations and reports in Fabric and Microsoft Power BI. Another new feature is the Sitecore OrderCloud data connector, which can be used to bring commerce data from Sitecore OrderCloud (preview) into Fabric in real time. The connector performs transformation and orchestration on top of the data from Sitecore OrderCloud to map it to the retail industry data model, reducing engineering effort and accelerating time to insights.

Microsoft Cloud for Healthcare

The 2024 release wave 1 also brings new features and innovations to Microsoft Cloud for Healthcare. One of the new features is the ability to improve clinical and operational insights by ensuring health data is accessible across provider, payor, and pharma; and facilitating clinical, operational, and performance analytics using healthcare data solutions in Fabric (preview).

Some other new features in the 2024 release wave 1 for Microsoft Cloud for Healthcare include support for additional data storage needs, support for availability zones for Microsoft Azure Health Data Services, FHIRLink Power Platform connector, and the ability to use the digital imaging and communications in medicine (DICOM) service with Azure Data Lake integration.

Microsoft Cloud for Nonprofit

Microsoft Tech for Social Impact is proud to announce the April 2024 release for Fundraising and Engagement. This release brings significant enhancements, mainly to nonprofit gift processors, including valuable enhancements to Fundraising and Engagement Azure services and new Stripe API (payment intents) integration. Customers who rely on Stripe for their payment processing can now benefit from the latest Stripe APIs, addressing the requests of current customers and the requirements of future customers. It is highly recommended that customers upgrade and use the new Stripe API when creating a payment processor associated to a configuration profile. For more details, read more here.   

Learn more about Microsoft Industry Clouds

• Official Microsoft Cloud for Manufacturing documentation
• Azure Data Manager for Agriculture Preview
• Microsoft Azure Data Manager for Agriculture Preview
• Official Microsoft Cloud for Sovereignty documentation
• Microsoft Cloud for Sustainability documentation
• Microsoft Azure Data Manager for Energy
• Official Microsoft Cloud for Retail documentation
• Official Microsoft Cloud for Healthcare documentation
• Microsoft Cloud for Nonprofit documentation

Microsoft Industry Clouds

Check out the latest innovations.

Learn more

The post 2024 release wave 1: New copilot features to enhance Microsoft Industry Clouds capabilities appeared first on Microsoft Industry Blogs.

Microsoft Azure Data Manager for Energy is a scalable, enterprise-grade, cloud-based OSDU® Data Platform service that aligns with the requirements of the OSDU® Technical Standard for open-source innovation. As the energy industry evolves, the OSDU® Data Platform will play a pivotal role in driving efficiency and innovation by bringing the industry’s domain data into the cloud. This will enable customers and independent software vendors (ISVs) to use the data estate to enable new AI scenarios. By embracing these changes strategically and leveraging Azure Data Manager for Energy and tools from independent software vendors, such as KADME, companies can maximize the value of their legacy assets while embracing the future of data integration and analysis. This can go further with generative AI applications that go beyond personal productivity.  

KADME is one of Microsoft’s partners within the energy industry, adding value for customers by developing tools that integrate with Azure Data Manager for Energy. Equipped with extensive knowledge of Azure Data Manager for Energy, KADME has designed tools that can extract information, but also fine tune document labelling for OSDU® Data Platform and Azure Data Manager for Energy manifests, significantly impacting the success of OSDU® Data Platform search queries. Furthermore, with this fine tuning, KADME can help contextualize information so generative AI can understand the search query in the proper context, minimizing hallucination and returning the correct results for ambiguous asks. 

With the KADME solution on Azure Data Manager for Energy, leveraging Azure large language models and domain specific semantic ranking algorithm, customers can: 

• Accelerate adoption of OSDU® while remaining at the cutting edge of AI, search, and enrichment technology.
• Control what goes into OSDU® and when, using LUMIN workflows and intuitive graphical interface.
• Discover subsurface data on the LUMIN map and the extracted, classified images.
• Use domain-specific natural language queries to discover documents in OSDU®.

Azure Data Manager for Energy

Reduce time, risk, and cost of energy exploration and production

Get started

Preparing data for machine learning with LUMIN

KADME’s platform, LUMIN, bridges the gap between different data types in Azure Data Manager for Energy by automatically translating data to fit its requirements, ensuring synchronization while leaving the data unchanged at the source. Leveraging Elasticsearch, LUMIN offers scalability and an intuitive interface for transforming data between formats and OSDU® Data Platform schemas, making it an appealing alternative to in-house development. Specializing in extracting information from unstructured sources like documents and PDFs, LUMIN acts as a high-performant search engine at scale, particularly adept at handling subsurface data. Its integration with Microsoft SharePoint and Azure Data Manager for Energy streamlines data ingestion and extraction processes, reducing the need for extensive data preparation for machine learning endeavors.

LUMIN extracts content from documents and images.

It extracts and classifies subsurface images.

It then enriches this content with Metadata and establishes spatial data.

It transforms this content into semantic vectors using Fabriq, a large language model orchestration platform, enabling users to converse using domain specific natural language.

Data is transformed from unstructured to structured data and delivered to Azure Data Manager for Energy.

Enhance workflow and data discoverability with large language models

Using an energy sector-specific approach with large language model is crucial for efficiency and relevance. The energy industry has its own vocabulary: fish, shoe, and Christmas tree all have specific meanings within the industry that without context, mean something completely different. A “radioactive trap” can be a positive sentiment whereas in other contexts it could be considered negative. When searching for data below a depth of 1,500 meters records must be searched for a total vertical depth above 2,700 meters. These industry and context specific meanings matter.

For generative AI in subsurface, KADME works exclusively with Fabriq. Fabriq (pronounced with a hard q, as “fabrique”), is a turnkey solution that weaves structured and unstructured data into workflows and copilots, secured and scaled in Microsoft Azure using OpenAI large language models through Cloud Native Micro Services. This approach delivers trustworthy answers to complex questions, reveals previously hidden business intelligence, and automates tasks that previously were out of reach for AI.  

In this example, the user question is: “Which formations are relevant for 30/9-11 A?” Fabriq recognizes 30/9-11A is a wellbore and conducts a spatial search in LUMIN to identify any other wellbores within a given range of this one. The model discovers another wellbore called 30/9-11 and adds it to the user’s question to provide geographically relevant context to the response.  

Fabriq empowers energy industry users with a natural language search capability on Azure Data Manager for Energy, ensuring that queries yield relevant and focused results, unlike non-contextual search engines. For instance, while a general search engine or public AI companion may return unrelated information for a query like “wherefore art thou Romeo,” Fabriq retrieves pertinent data, such as details about a field named Romeo, enabling users to swiftly access the information they seek without distractions.

Fabriq pulls data from LUMIN and then interacts with this data using natural language. It enhances the discoverability of data within Azure Data Manager for Energy in a conversational manner, allowing users to easily access knowledge that companies have heavily invested in—particularly final well reports. Not only does this make individual workflows more efficient, but it also allows companies to maximize their business knowledge and continue to build on decades of detailed reporting. 

Learn more about KADME and Microsoft solutions

• Learn more about KADME and Azure Data Manager for Energy.   
• Find Azure Data Manager for Energy solutions from KADME and other partnering ISVs on Azure Marketplace.  
• Learn more about the Enterprise Data Solution from SLB for Azure Data Manager for Energy.
• Learn more about powering digital transformation with Azure Data Manager for Energy.
• Learn more about how Microsoft partners with energy companies to accelerate digital transformation.
• Learn more about themes and actions critical for energy transition.

The post Maximize machine learning and data management in Azure Data Manager for Energy appeared first on Microsoft Industry Blogs.

From startups to global enterprises, Microsoft is helping organizations of all sizes unlock the power of data and AI to accelerate the energy transition and create a data driven digital foundation for a sustainable future. Microsoft, our partners, and customers, are deploying innovative solutions that enable energy transformation in ways that weren’t possible before—to empower employees, increase operational efficiency, achieve net-zero commitments, and grow sustainable businesses.

Microsoft for Energy and Resources

Transform the energy and resources industry

Explore solutions

CERAWeek always brings new ideas and people together, and we are thrilled once again to participate in this important exchange of ideas, insights, and innovation. We need a diversity of voices to tackle the multidimensional energy transition, and we’re committed to working with customers and partners to accelerate digital transformation and our journey to a sustainable future.

At CERAWeek 2024 from March 18 to 22, 2024 in Houston, Texas, Microsoft will address the complexities of the multidimensional energy transition—markets, climate, technology, and geopolitics. We hope to see you at this annual gathering of energy executives, policymakers, and thought leaders from around the world. This year, attendees will explore strategies for a multidimensional, multispeed, and multifuel energy transition. Look for us throughout the week on the main stage, in leadership circles, Innovation Agora sessions, and at the Microsoft Agora House, where we’ll showcase new technologies, solutions, and perspectives together with our customers and partners.

Accelerate the energy transition with AI 

Themes at CERAWeek 2024 include energy markets, climate and sustainability, new supply chains for net-zero, technology and innovation, and power markets in transition. Microsoft’s leaders from energy, sustainability, cloud and AI, and security will be addressing these topics and speaking about the impact of AI and other technologies at the following sessions:  

• Scott Guthrie, Executive Vice President, Cloud + AI: “The Multidimensional Energy Transition: A world of choices.”
• Matt Kerner, Corporate Vice President, Microsoft Cloud for Industry: “AI: How will it impact the energy business?“
• Kelly Bissell, Corporate Vice President, Microsoft Security: “AI Enhancing Cybersecurity across the Energy Sector.”
• Bobby Hollis, Vice President Energy: “Future Forward: Harnessing the power of Gen-AI in climate solutions.”
• Christoph Schittko, Principal Software Engineer and Kadri Umay, Principal Program Manager, Microsoft: “Empowering the Energy Industry to Achieve Net-Zero Carbon Emissions with Data and A.”
• Conor Kelly, Principal Program Manager and Dag Boye, Industry Advisor, Microsoft: “Accelerating Business Transformation and the Energy Transition with Real-World AI.”
• Hanna Grene, Global Leader Go-to-Market and Operations, Energy and Resources Industry: “Effectively Decarbonizing the Electricity Grid.”
• Hany Soliman, Americas Business Leader Energy and Resources Industry: “Hydrogen and Power: Keeping the lights on in a zero carbon system.”
• Hema Prapoo, Worldwide Oil and Gas Leader: “Unveiling the latest breakthroughs in climate change mitigation.”
• Sverre Brandsberg-Dahl, Partner Chief Technology Officer, Energy Industry: “Accelerating CO2 transportation and storage solutions.”

I am pleased to participate alongside my Microsoft colleagues as a speaker on the topic, “Will AI accelerate the energy transition” and in an interactive “Next Gen” session featuring rapid-fire insights by leading minds on energy innovation along with CERAWeek 2024 future energy leaders.  

Showcasing innovation with customers and partners

At the Microsoft Agora House, we’ll join our customers and partners in showcasing some of the latest innovations driving safety, productivity, efficiency, and sustainability. Visitors to our Agora House can learn about:

• Microsoft Copilot for Dynamic 365 Guides: Transform frontline operations with AI and mixed reality
  AI, automation, and mixed reality solutions are poised to reshape industries everywhere. While industrial organizations worldwide overhaul their operations, frontline workers are still awaiting their digital renaissance. Within the energy industry, a focus on safety and the desire to accelerate skilling has Chevron looking to better equip its workers for the future. Copilot in Dynamics 365 Guides offers Chevron the opportunity to optimize its operations, empower workers, and infuse informed decisions throughout its value chain. Together, AI and mixed reality enable Chevron to define energy in human terms.​
• Microsoft Copilot for Security: Protect critical infrastructure at the speed and scale of AI
  Discover how Copilot for Security helps a broader set of security and IT professionals protect both their IT systems and industrial assets at the speed and scale of AI. Witness the power of Copilot synthesizing data from new sources, adding context and enrichment, and delivering new levels of effectiveness and efficiency, all in natural language, powered by generative AI.
• Microsoft Azure Data Manager for Energy: Accelerate your journey to energy data modernization
  Azure Data Manager for Energy helps energy companies gain actionable insights, improve operational efficiency, and accelerate time to market on the enterprise-grade, cloud-based OSDU® Data Platform service. The Microsoft partner ecosystem plays a crucial role in Azure Data Manager for Energy. For example, SLB’s Enterprise Data Solution seamlessly integrates with Azure Data Manager for Energy and simplifies data handling and discovery for domain-specific applications. Customers like Equinor are targeting data efficiency and a low-carbon future with Azure Data Manager for Energy and Aker BP is leveraging the platform to transform its data and operations.
• Microsoft Cloud for Sustainability​: Unlock the power of AI to meet your sustainability goals​
  Discover how AI in Microsoft Cloud for Sustainability helps unlock data insights to accelerate sustainability progress, business growth, and climate innovation. Now in preview, Sustainability data solutions in Microsoft Fabric allows organizations to accelerate their time to insights and sustainability progress by providing out-of-the-box environmental, social, and governance (ESG) data model, connectors, and reporting. By connecting your ESG data with Fabric you can turn volumes of sustainability data into meaningful insights and progress.

Partnerships for energy industry transformation  

Complex climate challenges require deep collaboration and innovation across industries and geographies. Microsoft values its partnerships and the industry-specific solutions partners provide, and we’re honored to highlight many of these change-makers at CERAWeek 2024. Microsoft partners in our Agora House are at the forefront of accelerating data modernization and leveraging generative AI so companies can achieve their safety, efficiency, productivity, and decarbonization goals. Featured partners and their solutions include: 

• Accenture is reinventing business and workforce productivity with generative AI. 
• Cognite is partnering with Microsoft to unlock real-time industrial insights with AI and to bring enterprise data operations to the generative AI era.  
• Schneider Electric is advancing decarbonization by integrating more distributed energy resources into the power grid. Microsoft and Schneider Electric are collaborating to leverage copilots and generative AI to transform outage management and control center operations.¹  
• SLB is accelerating the energy transition with speed and scale through data, AI, innovation, and partnerships with digital solutions enabling carbon capture utilization and storage (CCUS).  

Other partners we are highlighting and presenting at the Microsoft Agora House include:

Customers leading the way with AI and Microsoft Copilot for Microsoft 365

Microsoft customers are at the forefront of digital transformation with AI. For example, Petronas, Cegal, and Microsoft have teamed up to drive innovation with an innovative platform based on Microsoft Azure high-performance computing (HPC) and AI technologies.² This initiative, which involves moving HPC workloads to the cloud, is anticipated to benefit energy operations for Petronas. 

More energy companies have announced commitments to implementing copilot to empower their workforce and advance their digital transformation journeys. Pacific Gas & Electric is leveraging Microsoft Power Platform, including AI and copilot features to address up to 40% of help desk demands to save more than $1 million annually. Global energy firm TotalEnergies is using Copilot for Microsoft 365 and Power Platform to improve operational efficiency, and this year all 100,000 employees will be trained to use these AI tools.³ Bp will also roll out Copilot for Microsoft 365 to its global workforce and empower them to improve workflows and enhance productivity.⁴

Startups speeding the energy transition 

The climate crisis impacts everyone, and diversity in the startup ecosystem helps to ensure that solutions also apply to everyone. People of color are disproportionately affected by climate change, yet Black and Latino founders receive less than 1.5% of total United States venture capital funding, women-founded organizations received 1.9% of those funds, and Black and Latino women founders less than 0.1%.⁵ 

Transformation starts with people, not technology, and Microsoft is proud to support underrepresented climate tech startups. At CERAWeek 2024, we are honored to feature nine startup pitch sessions with underrepresented founders and chief executive officers who are driving the future of clean energy and climate tech innovation at our Experience Zone. The Microsoft Agora House presents a unique opportunity to meet these startup leaders and learn about their innovations. The lineup includes: 

Other startup presenting in our Experience Zone include FlexDAO, Line Vision, and Utilidata from the Microsoft Energy Transition Studio for Startups, a new program designed to empower energy transition startups worldwide. By providing technical expertise, commercial support, and access to capital, the Microsoft Energy Transition Studio for Startups aims to accelerate the deployment of renewable energy, carbon capture, carbon management, and geothermal, to help the world get closer to and achieve net-zero. If your organization is developing energy transition or climate tech solutions, or to nominate a company, apply to the first cohort of Microsoft Energy Transition Studio for Startups.

See you in Houston

We hope you’ll join us in person at the conference and in the Microsoft Agora House, where we can connect and share more on transformational technologies like generative AI and their impact on the energy ecosystem. See you in Houston, Texas from March 18 to 22, 2024.

Learn more about Energy and Resources solutions with Microsoft

• CERAWeek 2024 
• Transformative AI solutions powering the energy and resources industry 
• Microsoft for Energy and Resources 

¹Schneider Electric drives Generative AI productivity and sustainability solutions by integrating Microsoft Azure OpenAI, PR Newswire.

²Petronas, Microsoft, Cegal join forces for upstream digital innovation, Gas Pathways.

³TotalEnergies unlocks the potential of generative artificial intelligence for its employees, TotalEnergies.

⁴bp looks to leverage power of generative AI with Copilot for Microsoft 365, bp.

⁵McKinsey and Company, Underrepresented start-up founders: The untapped opportunity, June 2023.

The post Microsoft at CERAWeek 2024: Enable energy transformation with data and AI appeared first on Microsoft Industry Blogs.

That is why energy companies around the world are using Microsoft technologies, including Azure Data Manager for Energy. This cloud-based OSDU® Data Platform maximizes customer performance by being truly interoperable across the exploration and production data landscape. It can integrate with industry datasets, applications, and other cloud services, which makes it easier for employees throughout an organization to access the data they need quickly and efficiently. These sources may include other data platforms for asset performance, the internet of things (IoT), or production, but also databases that may still be deployed on-premises before migration to the cloud can take place. Data siloes slow productivity and complicate workflows—optimizing access to high quality data is crucial for success.

Azure Data Manager for Energy

Accelerate your journey to energy data modernization and digital transformation

Get started

The Microsoft partner ecosystem is a key component in how Microsoft delivers technology, services, and cloud-to-edge solutions for our customers. SLB—one of Microsoft’s strategic partners in the energy sector—designed the Enterprise Data Solution to work seamlessly with Azure Data Manager for Energy, easing data ingestion, management, and discoverability for domain applications.

Enterprise Data Solution from SLB facilitates day-to-day workflows

Designed to reduce the friction of dealing with large volumes of data traditionally stored in different silos, Enterprise Data Solution from SLB features a user-friendly, inclusive interface that facilitates the process of data ingestion, curation, and accessibility. Enterprise Data Solution from SLB allows customers to unlock data with a single click instead of running multiple steps to get the same results. This makes it easier for a variety of end users to ingest different data types and formats and access data faster. In addition, the curation of data along this pipeline is aided by several AI-enhanced tools, from more streamlined unstructured data ingestion, data quality control, contextualization, and data mastering, reducing the need for manual intervention.

Both traditional and new energy technical workflows are optimized when data and application interoperability are achieved. For example, handling large volumes of seismic data (access, ingestion, and streaming) can be dramatically improved with Enterprise Data Solution from SLB. The typical cost for handling these workloads is also reduced significantly, speeding up workflows and allowing users to incorporate as much diverse domain data as possible. Geoscientists and engineers can run more scenarios in different applications, compare results with their colleagues, and ultimately liberate the most accurate data quickly.

“Having the Enterprise Data Solution from SLB working with Azure Data Manager for Energy is transformative. Workflow efficiency is vastly increased, and decision-making accelerated to levels that are impossible to achieve without it. Pairing the two technologies enables AI to work at full effect in the energy sector. AI plays a dual role, it enhances data quality, accessibility, and utilization, which in turn enables it to drive innovation across the entire planning to operations life cycle.”

—Jamie Cruise, Product Leader, SLB

Key features of Enterprise Data Solution from SLB

The key features of Enterprise Data Solution from SLB include:

Ingest: Collect, ingest, and stage data easily from desktop or other file sources for document transcription and parsing. For example, you can use a cloud-style file drop for changes to files and get automated translation into the correct schema. This is increasingly aided by AI to reduce human workload requirements.

Curate: Data quality is at the heart of many of the challenges in the industry and causes a lot of wasted time. The Enterprise Data Solution from SLB accelerates curation and refining of datasets into trusted data products, liberating them with streamlined tools for data quality so they’re ready for consumption. These tools include AI for quality control and mastering.

Discover: Ready-to-use data products enable quick data-asset analysis and screening online for quick-to-create collections and consumption from domain workflows. Locating and accessing quality data is critical for decision-making. Enterprise Data Solution from SLB enables workflows to access the right data for stakeholders to easily discover, visualize, and use.

Consume: The Enterprise Data Solution from SLB makes it easy for analysts and others to access trusted data products from within their familiar applications and workflows, whether that is the Delfi™ digital platform, Petrel™ subsurface software, or Techlog™ wellbore software. With an intuitive user interface that’s accessible from a web browser, full data lineage, and project versioning are always available in an optimized format. Data can be shared and consumed in workflows such as seismic processing, machine learning seismic interpretation, and machine learning property modeling. In addition, this data is now easily consumable in machine learning workbenches such as Delfi Data Science or tooling available in Microsoft Azure. This cuts time to decision and action, critical components for a smooth production workflow.

Unlock downstream advantages within the Microsoft ecosystem

Once data is in Azure Data Manager for Energy, it conforms to the OSDU® Technical Standard and is a reliable platform for other applications to consume and re-ingest data iteratively. The interoperability of Azure Data Manager for Energy improves accessibility, traceability, and validity of data, allowing domain users and data scientists to deliver business outcomes faster.

Enterprise Data Solution from SLB helps customers take full advantage of Azure Data Manager for Energy by making it more efficient to ingest large amounts of quality, trusted, and traceable data into the platform. Ultimately, Azure Data Manager for Energy’s interoperability empowers customers by harmonizing data that can be leveraged across the Microsoft ecosystem.

Once this data is in the platform, there are many opportunities to take advantage of Microsoft Azure OpenAI Service to drive additional insights and efficiencies further downstream in Microsoft 365 applications. For example, end users can extract tables directly from ingested documents and generate Open XML documents that are ready to use in Microsoft Excel, where they can be more easily visualized.

Next steps

• Learn more about Azure Data Manager for Energy and Enterprise Data Solution from SLB.
• Learn more about themes and actions critical for energy transition.
• Read more about how Microsoft partners with energy companies to accelerate digital transformation.
• Read more about powering digital transformation with Azure Data Manager for Energy.

The post Tackle large volumes of data with new solution from SLB for Azure Data Manager for Energy appeared first on Microsoft Industry Blogs.

• Microsoft Cloud for Retail
• Azure Data Manager for Agriculture
• Microsoft Cloud for Financial Services
• Microsoft Cloud for Sustainability
• Microsoft Cloud for Healthcare
• Microsoft Cloud for Nonprofit
• Microsoft Cloud for Sovereignty

During this wave, we continue to invest in generative AI and copilot solutions—these solutions include customer and partner feedback across industries. Our global partner ecosystem builds and extends our first-party offerings, enabling high-value scenarios for our customers. Read on for a summary of each industry’s release plan and learn about supporting resources. 

Microsoft Industry Clouds

Discover new release plans for capabilities, products, and services

Explore updates

Microsoft Cloud for Retail  

The power of generative AI is transforming the way retailers are managing their businesses, engaging customers, and how they empower frontline workers to work more effectively. Microsoft Cloud for Retail 2024 release wave 1 includes additional capabilities for our retail customers along with considerable improvements to existing in-market solutions.  

The copilot template for personalized shopping on Azure OpenAI Service (preview) enables retailers to build tailored shopping experiences that allow consumers to shop using natural language. Using a retailer’s current systems and data, this copilot template can be embedded into existing experiences—such as a website or app—making it easier for shoppers to find and purchase the products they want. With the copilot template, retailers can offer customers personalized expert advice as well as guide the shopper to find unexpected items and learn more about the retailer. 

Copilot template for store operations on Azure OpenAI Service (preview) has been updated to drive more synergy and integration with modern work frontline worker applications and address customer feedback and requests. This AI-powered copilot template offers store associates on-demand access to store operational policies and tools to learn from customer behavior. Using key data points, employees can quickly and easily make adjustments that improve shopping experiences and drive revenue. 

Lastly, with Retail data solutions in Microsoft Fabric, retailers can plan, architect, and design data solutions for retail data governance, reporting, business intelligence, and advanced analytics. With Sitecore OrderCloud connector, retailers can bring commerce data from the connector into a standardize format and draw actionable insights. And with frequently bought together functionality, organizations can leverage insights and analytics to improve product upselling, shelf optimization, and drive operational efficiencies. 

Azure Data Manager for Agriculture 

The agriculture industry is at the heart of human civilization, and as the world’s population increases, so do the demands on farmers across the globe. Azure Data Manager for Agriculture empowers customers and partners to innovate using high-quality data that is no longer siloed, providing industry-specific data connectors and capabilities to unify farm data from disparate sources, enabling organizations to leverage high quality datasets and accelerate the development of digital agriculture solutions. With new large language model (LLM) APIs, others can develop copilots that turn data into insights on yield, labor needs, harvest windows and more—bringing generative AI to life in agriculture. The 2024 release wave 1 will provide key enhancements for analytics scenarios to align with leading industry standards. Enhanced ability for data set curation, compatibility with industry leading analytics services, more powerful geospatial scenario support, and repeatable data transformation workflows all work together to provide rich new analytics and AI capabilities. 

Microsoft Cloud for Financial Services  

Built on a foundation of intelligence, security, and compliance, Microsoft Cloud for Financial Services provides a powerful and flexible platform that helps unlock business value and deepen customer relationships. Financial services organizations can rely on the broad capabilities of the Microsoft Cloud as well as industry-specific solutions from our global partners to achieve impactful business outcomes quickly. Microsoft Cloud for Financial Services optimizes internal and external business processes through integrated collaboration and omnichannel communications capabilities. It enhances the customer experience through comprehensive customer insights and personalized, intelligence-driven interactions and helps accelerate products to market, removing data silos to turn insights into action, while defending against financial crime and supporting compliance needs. The 2024 release wave 1 plans include release of Meeting Prep for Financial Services—easing the burden of data discovery and curation for investment bankers in managing customer meeting preparations.  

Microsoft Cloud for Sustainability  

Microsoft Cloud for Sustainability empowers customers and global partners to reach their sustainability goals by providing a digital structure to help enable environmental, social, and governance (ESG) data intelligence, deliver sustainable information technology (IT) systems, improve ESG performance, unlock operational efficiencies, and unlock sustainable growth. We provide a digital structure to help enable ESG data intelligence, deliver sustainable IT systems, improve ESG performance, and unlock sustainable growth. This wave 1 release reflects our commitment to expanding the depth and breadth of our offering with new and enhanced features in Microsoft Sustainability Manager, including large language model (LLM) based Q&A and qualitative summary for ESG reporting. LLMs provide efficiencies by comprehending intricate queries, extracting relevant data, and offering meaningful, actionable information. Product carbon footprint data exchange, discovery, customization and testing of custom models and factor libraries, and AI-based suggestive labelling on waste data will help organizations measure their carbon or waste to take steps on report and reduce their environmental impact. 

Microsoft Cloud for Healthcare 

Microsoft Cloud for Healthcare provides capabilities to manage health data at scale and makes it easier for healthcare organizations to improve the patient experience, coordinate care, and drive operational efficiency. For the next release wave, our investments are in continuing to improve our data model, supporting additional fast healthcare interoperability resources (FHIR) in Virtual health data tables, and updates to healthcare data solutions in Microsoft Fabric.  

Microsoft Cloud for Nonprofit 

Microsoft Cloud for Nonprofit Community Training became generally available globally in December 2023. Community Training, an Azure-powered platform, enables organizations to build equity in skilling and deliver training to communities of any size, anywhere in the world through its mobile-optimized and customizable, white-label style platform. Community Training can be used by nonprofits and community programs to empower facilitators, train communities and volunteers, and to deliver education, health, or volunteer services in the field utilizing organizational-created content, with learner tracking and assessments, all while supporting low-bandwidth functionality for offline learning. This solution is part of Microsoft Cloud for Nonprofit, in our “deliver programs in time and at scale” narrative and will be available in both a nonprofit and a commercial version for other sectors. Additionally, Microsoft released new functionality in Microsoft Cloud for Nonprofit, specifically an AI-powered model called Likelihood, to donate built into Fundraising and Engagement. The AI model utilizes an organization’s donor information to support a nonprofit’s understanding of who is most likely to give to programmatic initiatives based on an array of donor characteristics—including past donations, event interactions, and more. Utilizing the model can support the development of donor segments, helping nonprofits target interactions based on their needs and donor giving patterns currently and into the future. Finally, we will be releasing the French localized version of Fundraising and Engagement allowing for greater functionality and global use. 

Microsoft Cloud for Sovereignty 

Microsoft Cloud for Sovereignty is now generally available across all Azure regions, we’re also announcing new capabilities moving into preview. These solutions underscore our continued investment in a rapid pace of innovation to advance sovereignty in the hyperscale cloud: 

• Drift analysis capabilities: Ongoing administration and maintenance can potentially introduce changes that don’t comply with policies, resulting in the deployment beginning to drift out of compliance over time. The new drift analysis tool inspects your deployment and generates a list of non-compliant settings, as well as a severity rating, making it easier to identify any discrepancies to remediate and verify the compliance of specific environments.  
• Transparency logs: Gives eligible customers visibility into the instances where Microsoft engineers have accessed customer resources through just-in-time (JIT) access, most commonly in response to a customer support request. With this update, customers can now request access to the preview feature through the Azure portal.  
• New configuration tools in the Azure portal: Allow customers to create a new sovereign landing zone in two simple steps using a guided experience. 

Learn more 

• Stay up-to-date on the latest release plans on Microsoft Learn.
• Follow the Microsoft Industry Blog for industry-specific news.
• Read more about what’s upcoming on our Microsoft Industry Clouds documentation page.

Note: Some of the functionalities described in this release plan have not been released. Delivery timelines may change, and projected functionality may not be released (see Microsoft policy). 

For a list of the countries or regions where Dynamics 365 business applications are available, go to the International availability guide. For more information about geographic areas and datacenters (regions), go to the Dynamics 365 and Microsoft Power Platform availability page. 

The post Explore the latest release plans for Microsoft Industry Clouds appeared first on Microsoft Industry Blogs.

AI Copilot for Asset Performance Management

New solutions from Cognite Data Fusion and Microsoft

Download now

Cognite, world leader in industrial DataOps software, is collaborating with Microsoft to integrate its flagship product Cognite Data Fusion with Microsoft’s data platform Fabric, to deliver a unified enterprise DataOps solution that spans the full enterprise, with vertical industry capabilities for industrial (such as engineering technology (ET) and OT) data workloads enabled through industrial copilots. Data will be available through both Cognite Data Fusion and Microsoft Fabric for customers to leverage Cognite Data Fusion for driving decisions in asset centric scenarios, for example Asset Performance Optimization, and Fabric to generate insights to run their business.

By combining Cognite’s industry-specific capabilities with Microsoft’s enterprise-scale, AI-focused data platform, this partnership is delivering a state-of-the-art platform that significantly accelerates time to value and scalability for industrial use cases, while addressing the complexities of industrial and enterprise data fragmentation, technology, security, and compliance in the age of AI. By leveraging the strengths of the two companies, we are set to advance the digital transformation of industries worldwide.

“Our collaboration with Microsoft is more than a convergence of platforms; it’s about aligning our vision of empowering industries to drive productivity through digital transformation. Cognite’s robust industrial data operations and contextualization capabilities, combined with the scale and intelligence of Azure, will unlock new frontiers in industrial AI. Our customers have asked us for IT, OT, and ET convergence on DataOps—we are pleased to now offer that together with Microsoft Fabric.”

Moe Tanabian, Chief Product Officer of Cognite

“At Microsoft, we are pleased to work with industry leaders like Cognite to extend our platforms into specific domains and business processes that are critical to industries like Energy with complex industrial requirements. We are pleased to see Cognite integrate their industrial data operations platform, Cognite Data Fusion, with Microsoft Fabric, Microsoft 365, and the Microsoft OpenAI Service to unlock value in industry verticals such as Industrial Carbon Management.”

Matthew Kerner, Corporate Vice President of Microsoft Cloud for Industry

Cognite understands industry requirements and is a strategic partner for industrial data operations

The world’s asset intensive industries are going through an unparalleled period of change, moving towards a digital industrial future enabling energy transition and more efficient and sustainable industries.

Cognite has carved out a segment in the industrial sector worldwide as a purveyor of digital transformation, particularly within energy and manufacturing. Its core product, Cognite Data Fusion, is a result of its deep industry insight, offering a platform that not only organizes complex data from a wide variety of industrial (such as OT and ET) sources, but also turns it into actionable intelligence.

The importance of Cognite Data Fusion in industrial data management can be attributed to a number of unique capabilities:

• Sub second performance for real time decision making.
• Out-of-the-box connectivity with close to 100 different industrial systems and software.
• Processing of industrial (OT) data types, engineering diagrams and piping and instrumentation diagrams (P&IDs), 3D (for example computer-aided design (CAD), point clouds, and photogrammetry), and large-scale and high frequency timeseries data.
• Data contextualization with particular focus on industrial data.
• Flexible support for industrial data modeling, including industry standard data models (for example, CHIFOS, ISO15904, and more.)
• High performance industrial knowledge graph as a way to unify industrial data in well defined data models for ease of access and real-time data consumption.
• Built-in tooling to support industry-specific needs, including support for data science, AI, and computer vision.
• Software development kits (SDKs) and connectors accelerating the development of industrial applications; both low code and no code and traditional software development.

Furthermore, a unique value proposition of Cognite lies in its user-centric approach for industrial domain experts. Cognite Data Fusion stands out for its intuitive interface, allowing users across an organization to leverage industrial data without the need for deep technical expertise. This is even further enhanced by infusing the latest AI services from Microsoft into interfaces and in new offerings like the industrial Cognite Data Fusion copilots that were developed by Cognite in partnership with Microsoft leveraging Azure OpenAI Service, building applications that utilize this contextualized data and provide decision making is even simpler and faster. This democratization of industrial data is pivotal, enabling swift, informed decision-making across all levels of a business.

Microsoft Fabric drives AI-powered industrial decision making

Fabric is an end-to-end, unified analytics platform which can meet the demands of modern industrial applications in the age of AI. It is a part of the Microsoft Cloud services, which provides robust support for a variety of use cases—from data storage and management to advanced analytics and machine learning.

The importance of Fabric in decision making applications that combines enterprise, operational, and engineering data can be attributed to several key features:

• Complete analytics platform: Fabric can reshape how your teams work with data by bringing everyone together on a single, AI-powered platform built for the era of AI. Fabric combines the best of Microsoft Power BI, Azure Synapse Analytics, and Data Factory to create a single, unified software as a service (SaaS) platform with seven core workloads—each purpose-built for specific personas and specific tasks. By creating a single platform with tools for every data professional in a unified experience and architecture, Fabric can reduce the typical cost and effort of integration and simplify governance and billing.
• Open and lake-centric: Fabric’s unified, multi-cloud data lake, OneLake, is automatically wired into every Fabric workload and designed to help you simplify data management and reduce data duplication.
• AI-powered: With Copilot in Fabric, you can use natural language to create dataflows and pipelines, write SQL statements, build reports, or even develop machine learning models.
• Built for a data culture: Fabric was built to help foster a data culture—enabling anyone to quickly go from data sitting in a lake to stunning Power BI visuals embedded in a Microsoft 365 app. Fabric seamlessly integrates with the Microsoft 365 applications people use every day like Microsoft Teams, Outlook, PowerPoint, Excel, and more to improve decision-making and drive impact.
• Support for operational and enterprise data: For many enterprise applications, the ability to incorporate process time series and event data in combination with other data sources is critical for operational efficiency and timely decision-making. Fabric’s streaming data storage and processing services accelerate the development of applications that can utilize the industrial operations data from platforms like Cognite Data Fusion for enterprise decision making.
• Unified data governance: Integrated with Microsoft Purview, Fabric provides tools for unified data governance, making it easier for organizations to manage, monitor, and secure data across various applications and platforms. This is crucial for maintaining data integrity and quality in complex industrial settings.
• Diverse ecosystem of partners: Microsoft has an industry leading ecosystem of partners that provides industrial applications on the Azure platform. Combining these data sources with the operational data from Cognite Data Fusion opens opportunities to optimize the end-to-end decision making for industrial workflows. The workflows span from “subsurface” data from Azure Data Manager for Energy (using OSDU compliant data and APIs) to the industrial operations data from data sources in Industrial Carbon Management, Hydrocarbon Production Operations, and beyond.

Microsoft and Cognite: A strategic partnership journey

Elevating the successful multi-year partnership between Microsoft and Cognite, the expanded partnership is structured around a visionary three-horizon approach, ensuring a progressive and strategic collaboration.

The partnership between Microsoft and Cognite is set to converge enterprise and industrial data operations, creating a scalable, AI-driven platform that meets the demands of modern industries. As Moe Tanabian of Cognite puts it, “Together with Microsoft, we are not just engineering a platform but pioneering an ecosystem that propels industrial data operations into a new era.” Matthew Kerner of Microsoft echoes this sentiment, “This is the beginning of a journey that will transform the industrial landscape, leveraging the combined strengths of Cognite Data Fusion and Microsoft Fabric to empower our customers.”

Stay tuned as we continue to innovate and lead the way in converged enterprise and industrial data operations, significantly accelerating time to value and scalability for both enterprise and industrial use cases, unlocking new possibilities and driving business and operational productivity through digital transformation.

Learn more

• Our teams, including our product engineers, will be at the CERAWeek 2024 from March 18 to 22, 2024 in Microsoft Agora House. Reach out to us during the event to see demos and discuss how we can deliver your needs with our integrated solution.  
• Learn more about AI Copilot for Industry with Cognite Data Fusion.
• Get started with Azure Data Manager for Energy today.
• Discover solutions with Microsoft Fabric.

The post Microsoft and Cognite extend partnership to build industrial data operations platform on Microsoft Fabric and Azure OpenAI Service appeared first on Microsoft Industry Blogs.

The Microsoft Industry Clouds deliver the most comprehensive development platform, tools, and solutions to enable our customers and partners to take advantage of AI, driving high-value scenarios for their businesses. Over the last six months, we have delivered Microsoft Copilot across GitHub, Azure Security, Microsoft Dynamics 365, Microsoft Power Platform, and Microsoft 365 for each business role in an organization that people can use today. At Microsoft Ignite 2023, from November 15 to 16, 2023, you’ll hear from many of our partners who are building copilots and other solutions on Azure AI to drive innovation across industries and help our customers achieve more.

Our global partner ecosystem plays an invaluable role in bringing this AI potential to life for our customers. Independent software vendors and system integrator partners bring deep domain expertise to build unique, industry-specific AI solutions on the Microsoft Cloud that add tremendous value to customers, while meeting the security, compliance, and regulatory needs of each industry.

Here is a small sample of the hundreds of partners accelerating innovation with AI in financial services, healthcare, agriculture, manufacturing, retail, sustainability, public sector, education, telecommunications (telco), nonprofit, energy, and line of business partners.

Financial services

LSEG’s (London Stock Exchange Group) leading financial markets data intelligence and analytics ecosystem is being integrated with Microsoft Fabric, enabling customers to discover and analyze trusted data faster than ever before to create differentiated insights. This ecosystem will offer a joined-up data experience for customers through seamless interoperability with LSEG Workspace, simplifying and automating workflows enabled by Copilot and Python-based analytics within Microsoft Teams and Excel.

At Microsoft Ignite, Microsoft is showcasing Meeting Prep for financial services, an example of the kind of work we are doing with partners such as LSEG to create value from their data using large language models and generative AI. This solution will automatically generate meeting preparation summaries combining insights from LSEG’s financial data with news, documents, emails, chats, and other relevant content from Microsoft Graph in Microsoft 365. 

Video 1. Meeting Prep for financial services: Application Concept for Microsoft Teams.

Healthcare

Teladoc Health is offering improved care management leveraging the Azure data platform and building a copilot on Microsoft Teams with Microsoft Azure OpenAI Service. Teladoc is using Azure OpenAI to personalize the “recommended for you” section of its Chronic Care Management weekly newsletter for three specific segments based on acuity and activity. This is to increase the engagement of the program and improve member health outcomes. They are exploring the option of a co-pilot for member engagement through counselors.

Epic and Microsoft have an ongoing strategic collaboration to develop and integrate generative AI into healthcare that can enhance patient care, increase clinician efficiency, and improve the financial integrity of health systems globally. DAX Copilot and Azure OpenAI integrations address many current issues affecting clinicians, including drafting message responses automatically, enabling natural language queries and interactive data analysis, producing clinical summarization, and providing ambient clinical documentation.   

Embedding DAX Copilot directly into existing Epic workflows can reduce the cognitive burden on clinicians, helping them focus on the patient as summarization notes are drafted for them through ambient listening. There are more than 50 Epic customers and thousands of clinicians signed up to use DAX Copilot in their workflows, and this integration will be widely available for increased adoption early next year. 

By using Azure OpenAI, Epic can also deliver generative AI exploration for users through Epic SlicerDicer to fill gaps in clinical evidence using real-world data and to study rare disease and more. Revenue cycle management is another area where generative AI will drive meaningful improved efficiency, providing coding staff with suggestions based on clinical documentation in Epic’s electronic health record (EHR) software. Additionally, Epic is working to aid campaign generation by incorporating generative AI into the Epic Cheers application. This will assist organizations on producing outreach programs to create a personalized experience for patients, nurture current relationships, and reach a wider patient population in a more efficient manner.  

Agriculture

Bayer’s vision, “Health for All, Hunger for None,” drives its commitment to using cutting-edge technologies that can bring new value to customers. In its early stages, Bayer is presenting an agriculture copilot and testing multiple scenarios with internal teams to discover where large language model capabilities can add value through the ability to interact with agronomic data using natural language. These capabilities are powered by Microsoft’s generative AI and Microsoft Azure Data Manager for Agriculture.

Video 2. Bayer leverages Azure Data Manager for Agriculture large language model APIs to bring actionable insights to farm data.

Learn about the latest updates to Azure Data Manager for Agriculture and how Microsoft is expanding support for Bayer’s Climate FieldView as a built-in data source, providing users with tools to leverage autosync planting, application, and harvest activity files from FieldView accounts.

Manufacturing

Siemens introduced Industrial Copilot, an AI-powered assistant that will enable users to rapidly generate, optimize, and debug complex automation code, and significantly shorten simulation times. Siemens is putting the power of product lifecycle management software into the palm of every employee’s hand with the release later this year of the Teamcenter application for Microsoft Teams. With this application, problem reports can be created in Teamcenter using a smartphone to take pictures and interpret spoken descriptions. That helps to close feedback loops and solve problems faster, all without sacrificing quality or reliability.

Sight Machine has introduced Factory CoPilot, that integrates Sight Machine’s Manufacturing Data Platform with Azure OpenAI. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (such as for daily meetings) and generate user-friendly reports, emails, charts, and other content (in any language) about the performance of any machine, line, or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform.

Retail

Sitecore OrderCloud powers custom ecommerce experiences and order management for some of the world’s most well-known brands. Sitecore OrderCloud is redefining the data hosting and online shopping experience by structuring their solution on the Microsoft platform. The Sitecore solution enables faster time to market with enhanced solutions layers providing ready-to-access capabilities utilizing Azure OpenAI.

AiFi, the largest provider of autonomous shopping solutions, is built on Microsoft Cloud technologies and works seamlessly with Microsoft Cloud for Retail. Their solution is enabling retailers like Żabka Group and Choice Market, among others, to offer consumers an autonomous shopping experience with frictionless check-out. The companion Microsoft smart store analytics app is helping retailers gain detailed insights into customer behavior and patterns, allowing them to be more informed and data-driven about store operations and merchandizing decisions. Together, AiFi and Microsoft, through AI technology deployed at the edge and cloud respectively, are helping retailers bridge the gap with ecommerce when it comes to a frictionless shopping experience and optimizing it using actionable analytics.

Video 3. Choice Market illustrates the next wave of convenience using smart store analytics.

Sustainability

Ekimetrics has developed a solution based on Azure OpenAI to automate the data collection process and enhance supplier experience. Typically, enterprises are requiring their supplier to complete lengthy questionnaires to capture environmental, social, and governance (ESG) data. Due to the high administrative efforts, they are struggling to get these completed and thus the ability to reduce ESG impact. The solution from Ekimetrics automates the creation of a supplier-relevant questionnaire and the extraction of the relevant answers from common documents. The output is a summary of suppliers’ response and prefill of a regulatory report, including comparisons with previous years.

Video 4. Ekimetrics’ future solution for accurate sustainability data collection is more efficient for companies.

Public sector

Axon is a technology leader in global public safety with a mission to protect life, preserve the truth, and accelerate justice. Since 2017, Axon has been pioneering the design and development of generative AI technology into their products built on top of Microsoft Cloud infrastructure. A few of Axon’s AI innovations include Redaction Assistant, which automates the process of sharing video footage while safeguarding privacy, and Auto-Transcribe, which extracts the audio from body camera to accelerate the process of report writing and evidence search. Axon has also introduced Automated License Plate Recognition in their Fleet3 in-car camera systems, ensuring swift and accurate detection. These initiatives are geared towards streamlining and enhancing the efficiency of public safety operations, allowing responders to focus on the primary task at hand. They persist in advancing their innovation pipeline by developing new AI-enabled applications that not only save time for their customers but also uphold the principles of ethics and fairness.

Education

PowerSchool is using Azure OpenAI to inform and deliver personalized learning pathways for individual students based on their learning goals within a secure platform. Educators are able to quickly create assessment items and formative assessments aligned to a desired grade level, subject, and learning objective or standard. They can then use intuitive reporting to track student progress thanks to the results of these standards-aligned assessment items created by generative AI.

Anthology is empowering instructors to spend more time with students and less time managing content with the AI Design Assistant in their flagship learning management system, Blackboard Learn. They’ve leveraged Azure OpenAI to streamline the course building process and give instructors a head start on creating engaging courses with recommended titles and descriptions, rubrics, questions, and images.

Telecommunications

Amdocs has launched its amAIz Platform to enable communication service providers to accelerate their journey into the generative AI era. Using amAIz, cloud solution providers can benefit from a growing set of out-of-the-box generative AI use cases integrated across different Amdocs applications such as Billing, Catalog, and CPQ (configure, price, quote) to save costs and streamline operations, as well as develop their own use cases on top of the platform. Aligned with the Amdocs and Microsoft collaboration, amAIz provides telco verticalization of the Microsoft capabilities in the Customer Engagement Platform, advancing generative AI use cases across the industry.

Nokia is transforming network security operations by leveraging AI to analyze large volumes of data in real-time to recognize subtle patterns and anomalies that are often missed, improving accuracy, and speeding up detection. Nokia’s flexible software as a service-based, telco-centric extended detection and response solution, NetGuard Cybersecurity Dome, uses AI and machine learning algorithms to analyze and identify potential security threats, enabling real-time detection and response.

Nonprofit

threshold.world has created b.world, the world’s first AI-powered impact measurement and storytelling app for nonprofit and social impact program teams. By unifying program design, impact measurement, project management, and digital storytelling in a single, easy-to-use app, b.world increases capacity to engage communities and drive stakeholders to action. It is based on industry best practice program design and impact measurement, and provides a common data model for nonprofit program operations at scale. See it in action by signing up for a free trial at b.world.

Submittable, powered by Microsoft Azure and Azure OpenAI, will release a new-to-market set of tools to further the mission of AI for good and improve the application process for grant givers and seekers. These tools include: an AI-powered service that will autofill grant applications based on an applicant’s own prior answers, saving valuable time to focus on critical work; an AI bot that can both create grant application forms and translate them into multiple languages, ensuring best practice adherence for funders while also extending opportunities across language barriers; and an AI-supported tool that extracts information from official documents into Submittable, creating a simpler experience for applicants and reviewers as well as reducing the potential for human error and fraud.

Energy

KADME has enabled a turnkey large language model workflow for ingesting and extracting insights from domain-specific energy documents. With Fabriq, the large language model orchestration platform, domain experts in upstream energy operations can ask domain-specific questions and retrieve multilingual tailored responses powered by these insights. Links to trusted source documents are provided with each response, with support for private repositories such as SharePoint or Microsoft Azure Data Manager for Energy.  

Line of business partners

In addition to industry solutions, our partners are also building line of business solutions leveraging AI to transform horizontal business processes to further support vertical solutions.

Seismic is the launch partner with Microsoft Sales Copilot and provides content recommendations, collaboration, task automation, and engagement intelligence for Microsoft Sales Copilot users across the meeting experience to help drive deals and relationships forward and making sellers more productive. As the first step in this journey, Seismic for Microsoft Sales Copilot will add AI-powered recommendations and summaries for virtual meetings, the key vehicle for modern sales teams to engage with prospects and customers.

Icertis is leveraging advanced Azure capabilities, including Azure OpenAI, to transform contracts into structured data that companies can analyze and leverage at scale. For example, the newly released Icertis Contract Intelligence Copilots allow companies to harness the power of generative AI to conversationally query contract language about risks and opportunities hidden in commercial agreements. The copilots offer users pre-defined prompts, which can be tailored to a company and its industry, to quickly surface insights relevant to their vertical.

ServiceNow recently introduced the Generative AI Controller that allows organizations to easily connect ServiceNow to Azure OpenAI. It includes built‑in actions so customers can quickly and easily integrate popular generative AI capabilities—like answering questions, summarizing content, and content generation—into custom apps and workflows. 

Typeface.ai has launched a new Typeface app for Microsoft Teams that uses the powerful combination of Microsoft Azure Machine Learning, Azure OpenAI, and Typeface’s brand-personalized AI to create content significantly faster than ever before. This enables companies to scale marketing efforts and produce a range of assets such as creative briefs, email campaigns, multimedia online ads, and more.

The investment continues at Microsoft Ignite

These examples highlight how partners are building copilots and developing custom solutions with Azure AI for every industry.

These solutions also showcase how the key AI patterns like natural language Q&A, summarization, and search are driving this unique moment of transformation for our customers, enabling them to improve employee productivity, enhance customer experience, and increase operational efficiency. You can learn more about these partner solutions and others at Azure Marketplace and Microsoft AppSource.

We’re excited to have you join us at Microsoft Ignite 2023 from November 15 to 16, 2023. Here are some key sessions that will give you an even deeper view into the innovations we are delivering with our partners and the latest updates to our Industry Cloud solutions.

Breakout sessions

• The AI-era of Industrial Transformation, Wednesday, November 15, 2023, 2:45 PM—3:30 PM PT

Learn how organizations are investing to optimize operations by extracting insights from information technology, operational technology, and engineering technology data with cloud-to-edge technologies, democratizing data access for better decision-making with copilots, and empowering frontline workers with enhanced mixed reality applications.

• Get ready for ESG Regulation with Microsoft Cloud for Sustainability, Wednesday, November 15, 2023, 5:15 PM—6:00 PM PT

Learn how expanded functionality in Microsoft Cloud for Sustainability, including AI, water, and waste data capabilities, can help address new and emerging reporting regulations like the Corporate Sustainability Reporting Directive—enabling organizations to provide transparency into their ESG sustainability progress.

• Enabling Sovereignty with Microsoft Azure, Friday, November 17, 2023, 9:00 AM—9:45 AM PT

Learn how Microsoft Cloud for Sovereignty can help customers meet their digital sovereignty and compliance requirements and still gain the benefits of the public cloud.

On demand sessions

• The future of financial services in the era of AI
• Empowering retail in the era of AI
• The future of data and AI across the entire healthcare journey
• Empowering impact with Cloud for Nonprofit and AI

There’s a lot to take in at Microsoft Ignite 2023! Be sure to also check out the on-demand discussion sessions or go to Microsoft Industry Clouds to learn more.

The post How AI helps Microsoft partners innovate across industries appeared first on Microsoft Industry Blogs.