1. Amplify human ingenuity with a copilot for everyone: Offering built-in and extensible AI capabilities in Microsoft Copilot to help people be more productive, creative, and efficient.
2. Deliver transformational experiences with build-your-own intelligent apps: Making it easy for customers and partners to build their own copilot solutions using the same stack and AI services Microsoft used to build its own copilots.
3. Safeguard business and data with a trusted AI platform: Microsoft has demonstrated leadership and delivered powerful tooling to help build safety and responsibility into AI solutions from the start—this includes guidance and best practices around responsible AI as well as secure AI principles that empower organizations with an end-to-end cyber risk approach that reinforces human control.

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Part of enabling customers to adopt AI and deploy copilots includes empowering partners. Microsoft helps partners benefit from its unified data estate platform to create personalized, role-specific AI that can empower customers with meaningful and relevant experiences. Copilots can enhance development capabilities and allow partners to share the value of their domain experience with customers, reinforcing their commitment to innovation and excellence. Partners can extend and customize existing copilots from Microsoft or modify how copilots assist with core business functions, such as human resources, sales, or customer service interactions.

Building with partners

Partners play a crucial role in extending Microsoft’s offerings to customers with their domain expertise. When tailored to specific roles, copilots can personalize generative AI experiences, offering access to relevant business flows and data, when and where users need it.

The partners featured here have created copilots and AI platforms that support a wide range of industries and lines of business:

• TomTom has created its Digital Cockpit to turn cars into conversational companions.
• Modern Requirements has created an AI work item and requirements management assistant for healthcare, finance, automotive, aerospace, government, and defense industries.
• Dynatrace has developed Davis® AI which empowers countless use cases, supporting Microsoft Azure customers in areas like observability and security.
• Intellect Design has developed generative AI-powered copilot which allows a relationship manager to generate valuable insights from ISO 20022 payments repository data thereby helping corporations manage their funds better.
• Datamatics has created a partner onboarding copilot to help streamline and reduce the time spent on the onboarding process for vendors, partners, and more.
• MiHCM has developed an AI-powered human resources (HR) copilot called MiHCM SmartAssist.

TomTom

The TomTom Digital Cockpit is an open, modular in-vehicle infotainment platform. Their new AI-powered voice assistant enables users to engage in natural conversation with their cars and tackle complex driving requests. The voice assistant can handle follow-up questions and maintain contextual understanding, which means users can engage in multi-turn conversations and get relevant responses.

Key features include:

• AI-powered voice interaction: The digital cockpit enables natural voice communication with the vehicle, allowing drivers to control navigation, infotainment systems, and vehicle settings through voice commands.
• Integration with Microsoft Azure: TomTom utilizes Microsoft Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to provide a robust and scalable infrastructure, supporting advanced data handling and AI capabilities that enhance responsiveness and personalization.
• Customizable user interface: Automotive manufacturers can customize the digital cockpit to match their brand’s aesthetics and functionalities, making it adaptable to different vehicle models and consumer preferences.
• Cost efficiency: The system offers a cost-effective solution that reduces development expenses by up to 80%, providing a sustainable and economically viable option for car manufacturers.

Modern Requirements

Copilot4DevOps Plus is an AI-powered work item and requirements management assistant, which can be utilized by multiple industries such as healthcare and medical devices, finance, automotive, services and technology, aerospace, government, and defense. This tool, seamlessly integrated with Azure DevOps, optimizes requirement workflows with an easy-to-use interface and improves the requirements management process by enabling several key functions:

• Efficiency and productivity: It allows teams to focus on meaningful work by automating repetitive tasks and improving collaboration. In addition to powerful AI elicitation, analysis, conversion, and summarization, it gives teams cutting-edge features like pseudocode generation, dynamic prompts, and test script creation.
• Enhanced quality and security: Copilot4DevOps improves the quality of requirements by analyzing and refining them according to best practices in technical writing. It also incorporates Microsoft and OpenAI’s latest security features to help ensure data security.
• User control and customization: Users have the final say over the AI-generated content, with options to pick, edit, and refine outputs as per their specific needs.

Copilot4DevOps Plus is available as an add-on with Modern Requirements4DevOps or as a standalone in the Azure and Visual Studio Marketplaces.

Dynatrace

The Dynatrace platform delivers AI-enhanced cloud observability, security, and overall operational efficiency for global enterprises across all industries. With Davis® AI copilot, Dynatrace combined its predictive and causal capabilities and generative AI, built with Azure OpenAI, to bring Dynatrace Davis® hypermodal AI to market. This boosts the technical capabilities of IT teams by simplifying complex processes, enabling businesses to focus more on innovation and less on operational management.

Key features include:

• Davis® AI Engine: This core component leverages predictive, causal, and generative AI to provide deep insights and actionable recommendations. It automates tasks like anomaly detection, root cause analysis, and workflow automation, significantly reducing the manual effort required in managing complex IT environments.
• Predictive operations: The platform predicts potential issues before they impact operations using AI to forecast and automate responses, thereby ensuring reliability and proactive management of IT systems.
• Intelligent observability: Dynatrace uses AI to analyze real-time data across applications, services, and infrastructure. This helps in pinpointing issues quickly and accurately, which is crucial for maintaining optimal operational performance.
• Automation and integration: The platform’s automation capabilities extend to auto-discovery, auto-instrumentation, and auto-baselining, ensuring comprehensive coverage and real-time, dynamic responses to changes within the IT landscape.
• Azure native software as a service (SaaS): Azure Native Dynatrace Service seamlessly provides deep cloud observability, advanced AI for IT operations (AIOps), and continuous runtime application security capabilities native to all Azure customers empowered with Azure OpenAI generative capabilities.

Intellect Design

The iGTB Copilot helps banking professionals generate insights and provide cross-sell assistance in commercial and corporate banking. It leverages generative AI to streamline operations and client interactions, allowing relationship managers to spend less time on manual data analysis and more on strategic client engagement. Here are the key functionalities:

• Comprehensive payment analysis: It enables users to perform detailed analyses of historical payment data, helping to identify trends and patterns without the need for any programming skills. It also helps in identifying delayed payments.
• Visual data summarization: The iGTB Copilot can automatically transform complex data into easily understandable visual graphics and provide insights and suggested actions.
• The iGTB Copilot, composed on the Purple fabric of eMACH.ai, is powered by Azure OpenAI, GPT-4 Turbo model, and other Azure infrastructure services.

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Datamatics

Datamatics Copilot for Partner Onboarding is integrated with Microsoft Teams and leverages Microsoft Copilot, Microsoft Teams bot framework, and Azure OpenAI technologies. The application is designed to streamline the onboarding of vendors, business partners, freight forwarders, and employees across different geographies, making what is traditionally a complex and tedious process much more efficient.

Key functionalities include:

• Natural language querying: Users can query the status of onboarding processes and receive updates using conversational language.
• Automation and integration: The Copilot automates the creation of partner records and integrates seamlessly with other business systems for efficient data management.
• Real-time updates and communication: Enables prompt communication with partners about their onboarding status, including rejections, directly from Teams.
• Document management: Maintains and enforces compliance by specifying required documents for each country, ensuring partners submit the correct documents.

MiHCM

MiHCM SmartAssist is an AI-powered HR copilot designed to streamline HR processes. This tool is part of the MiHCM platform and offers a range of functionalities and customizations that simplify various HR tasks.

Key features include:

• Document generation: SmartAssist, built on top of Azure with services, including Azure OpenAI, Azure AI Search, Azure App Service, and Azure SQL Database, and leveraging Microsoft’s Copilot framework, can quickly generate employee letters with just a few keystrokes. It ensures that these documents are personalized by dynamically incorporating employee data.
• Job description creation: It automatically generates job descriptions that reflect the company’s unique voice and tone, including key performance indicators (KPIs), qualifications, and experience requirements.
• Customization capabilities: Users can easily adjust the content generated by SmartAssist, ensuring the output meets their specific needs.
• Data analysis and reporting: SmartAssist leverages employee data to analyze and calculate statistics, generate reports, and provide information at high speeds, enabling business leaders to make informed decisions quickly. This tool can answer high-level questions, going beyond mere facts and figures to provide valuable insight quickly. Information that would take days to gather can now be analyzed and provided in seconds.

Next steps to adopt AI and deploy copilots

• Check out our digital session at Microsoft Build 2024, that discusses enabling independent software vendors (ISVs) to transform industries in the age of copilots.
• Assess the drivers of AI success so you can realize meaningful business impact with AI.
• Learn how to power your AI transformation with Microsoft.
• Learn more about creating generative AI experiences with Microsoft Cloud across many Microsoft solutions.
• Envision boosted creativity and work productivity with Copilot for Microsoft 365 and learn how to extend it.
• Start using GitHub Copilot and Microsoft Copilot for Sales, now generally available.
• Learn how to build safety and responsibility into your AI journey from the start.
• Learn more about the featured ISVs: TomTom, Modern Requirements, Dynatrace, Intellect Design, Datamatics, and MiHCM.

The post Building AI solutions with partners: Empowering transformation with copilots appeared first on The Microsoft Cloud Blog.

I spoke with Shamim Mohammad, Chief Information and Technology Officer at CarMax, on the Pivotal podcast about his company’s approach to data and AI.

CarMax has applied AI to improve the experience for both customers and employees. For instance, it is using machine learning to provide the best images, reviews, and details for each car. It has built patented technologies to optimize that process, including a recommendation engine that can understand what the customer is trying to do and offer targeted car content.  

When customers look at a car, AI also helps aggregate information about the car from multiple data sets and turns it into easily digestible summaries for the shopper. ChatGPT working in the background to draft these summaries frees time for CarMax’s employees to work on higher-value projects. 

CarMax was one of the early adopters of Microsoft Azure OpenAI Service, and its success in scaling AI has a lot to do with how it organized itself to drive innovation across the company. Here are some highlights from my conversation with Shamim.

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Setting up cross-functional innovation teams

CarMax has set itself up like a digital startup, creating dozens of small, cross-functional innovation teams. Each team is focused on tackling a defined set of business challenges, and resourced with engineering, marketing, and operations talent. They are encouraged to move fast to build and test their solutions. 

Every few weeks, these teams present their progress and results at a product showcase. CarMax senior leaders watch these presentations, provide feedback, and decide which projects to scale. When a good idea is proved effective, teams are empowered to move their solutions to production with minimal bureaucracy. This allows them to quickly iterate and scale. 

When our teams have a good idea, they can optimize and scale it on their own, and then they present their progress on a biweekly basis, and we make a joint determination how and if to proceed further as a team. That’s how the teams work today at CarMax, which is amazing. I feel like I have this massively large company, but it’s still working like a startup.

Shamim Mohammad, Chief Information and Technology Officer, CarMax 

This cross-functional team structure would not have been possible without close leadership alignment. When Shamim first became Chief Information Officer, he partnered closely with the Chief Operating Officer and Chief Marketing Officer to organize these teams so that they could become digital-first. That collaboration has thrived to this day. 

Implementing strong AI governance 

CarMax has created a strong model for AI governance to support its innovation. It set up an AI Center of Excellence that includes top technical leaders, as well as leaders from legal, operations, finance, and marketing. 

This center’s chief role is to ensure that any innovation with AI remains consistent with the company’s core values of transparency and integrity. It focuses on educating CarMax teams about the power and risks of AI, provides guidelines on how to use AI responsibly, and offers tools to help teams evaluate their ideas and projects.  

The work of the AI Center of Excellence has created a culture of responsible innovation within CarMax, allowing teams to feel safe to experiment with AI.  

It starts with creating a culture that empowers employees to experiment and learn. And that’s supported by a strong data foundation. Because if a company is not good with data, they cannot be good with AI.

Shamim Mohammad, Chief Information and Technology Officer, CarMax

Building a foundational data estate for AI 

CarMax knew that the transformation it sought depended heavily on getting its data estate in order. Starting five years ago, the company invested to build a clean and organized data estate in the cloud. That has allowed it to combine the power of AI with its massive trove of car and customer data. 

It started by moving its data to Microsoft Azure. It worked to make that data scalable, updated, and constantly refreshed. It also applied strong data governance policies to ensure security and privacy. 

Today, that data is available for its teams to use. Its early data estate investment has positioned it to drive AI innovation at an incredible pace.  

Our teams have been leveraging our data and AI to create great customer experiences, drive competitive differentiation, and also make the lives of our associates better. 

Shamim Mohammad, Chief Information and Technology Officer, CarMax

Learn more about AI innovation on the Pivotal podcast 

CarMax is an exciting example of what an organization can accomplish if it makes some foundational changes to prime itself for AI innovation.  

By clearly defining achievable goals, providing teams with the environment to experiment and scale, and putting strong AI and data governance in place, it was able to unleash a wave of AI innovation that completely transformed its business. CarMax’s journey offers important lessons for organizations wanting to succeed with AI. 

If you want to hear more about CarMax’s approach, tune into the episode on the Pivotal podcast.

The post How CarMax organized and scaled innovation with Microsoft AI solutions appeared first on The Microsoft Cloud Blog.

I’m reminded of this pivot table revelation as I look to the new generation of AI and see a similar game-changing moment on the horizon for us all. Today, many of us are weighed down at work by the constant inflow of emails, notifications, and meetings. It’s just too much to keep up with, so we always feel like we need to catch up. This is the digital debt we all carry.

People are eager for AI to help them cut through this drudgery. According to Microsoft’s Work Trend Index survey, 70 percent of employees say they would want to delegate as much work as possible to AI to lessen their workloads. It’s no mystery why. Who would say no to having a superpowered digital personal assistant?

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Lifting the burden of work

AI can help free us from this digital debt by becoming our copilots and taking care of the busywork. Imagine coming back from a long vacation to face an overflowing inbox, a list of missed meetings and announcements, and an outdated to-do list. Now imagine asking your Microsoft Copilot to highlight only your most important emails, show you the moments when your name came up in those missed meetings, and provide a list of personalized, up-to-date action items. What if you could catch up in a single day instead of an entire week?

AI opens up so many possibilities. It has already begun to help workers in many different ways. For instance, CarMax has sped up the creation of text summaries for its car research pages by using AI. With Azure OpenAI Service, CarMax created 5,000 of these summaries in just a few months. This allowed CarMax’s marketing team to shift their energies to projects with greater impact and value, such as developing original campaigns and writing creative, longer-form content.

Global construction company Strabag SE partnered with Microsoft to build an AI solution that assesses risk for their construction projects. They live in an industry with razor-thin margins, so picking the right projects makes a big difference for their business. Strabag SE’s solution analyzes potential projects, compares them with past project data, and provides project managers with a risk assessment that helps them make decisions quickly. Instead of burning time to do risk assessments, project managers can now focus on making projects successful.

Finally, consider Nota, the software as a service (SaaS) startup harnessing Azure OpenAI to help reverse the closure of local newspapers in the United States. Nota offers AI-assisted tools that add value to articles already written by journalists by generating SEO-optimized content and video summaries of their articles. These tools do much of the heavy lifting needed to drive traffic and produce revenue in the digital world, empowering local journalists to focus on their craft.

In the coming months, we will showcase more customers and how they are using AI in transformative ways as part the Pivotal podcast.

Reclaiming our time

These examples show how AI can augment all types of workers and give them a chance to reclaim their most precious resource: time.

Instead of filling this extra time with expectations of even more work, I see this as time we can give back to individuals. We know workers today are already feeling exhausted under the weight of their digital debt and looking for purpose in their jobs, especially post-COVID-19. AI will free up time for more creativity and innovation. This will reinvigorate our relationship with work and give people a chance to feel more engaged and inspired.

Others might choose to spend this extra time to acquire new skills, or to just relax and focus on their family or hobbies. Put that time toward whatever makes you happier and more fulfilled. This is one of AI’s impacts on the workforce that I’m most excited about. AI will be a key for unlocking well-being and helping people thrive in their professional and personal lives.

AI gives us the gift of time and allows us to find higher-quality ways to use that time. Imagine the possibilities this creates as we all search for happiness and success in our lives. As Arianna Huffington reminds us, “We think, mistakenly, that success is the result of the amount of time we put in at work, instead of the quality of time we put in.”

The post How to lift the burden of work and reclaim time with AI appeared first on The Microsoft Cloud Blog.

Throughout history, the right tool, in the right hands has always sparked transformation. From moving water across hundreds of miles via ancient aqueducts to putting the world’s knowledge at our fingertips with the advent of smartphones, these tools change our lives. And now we’re seeing the potential of the next great shift: the new era of AI.

This shift isn’t coming a few years down the road, or even in a few months. Your opportunity to lead in this new era of AI is right now. It’s one of the most exciting shifts of our generation, and we’re just starting to see the impact.

We believe leaders will see this impact take shape across three key dimensions—for individuals, for business functions, and for entire industries.

Transforming productivity for every individual

AI is fundamentally changing how we as individuals relate to and benefit from technology. Our own natural language is now the key to unlocking value—we think of it as having a copilot to navigate any task.

A copilot is an AI-driven partner guided by an individual to amplify creativity and accelerate results. As tasks get more complex, a copilot can deliver even greater value. But an individual is always in control—it’s a copilot, not an autopilot. Individuals determine, guide, and approve the output.

We recently announced our vision for Microsoft Copilot, a digital companion for your whole life. And to be your AI assistant at work, Microsoft 365 Copilot works across calendars, emails, chats, documents, meetings, and more. It’s already being used by tens of thousands of enterprise users in our Early Access Program including customers at companies like Visa, General Motors, KPMG, and Lumen Technologies, and will be generally available on November 1, 2023.

And we know productivity looks different for specialized roles, like developers. With GitHub Copilot, developers can get guidance and suggested code right in line, simply by describing what they want using natural language. At General Motors, developers are using GitHub Copilot to get up to speed faster, so they can start collaborating with more seasoned peers right away. New developers don’t have to spend as much time on structure or formatting—instead, they can focus on adding value and contributing check-ins.

In today’s world, we have access to more data and information than ever before. But how do we make sense of it all? That’s where AI can help. When we don’t need to spend as much cognitive energy on figuring out what happened in that meeting, getting caught up on email, or finding that document from that chat last week, we can spend more time on the substance of our work.

Using AI effectively means augmenting human capability and accelerating everyone’s innate ingenuity. For individuals, AI clears the space for human creativity to flourish. 

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Shifting what success looks like for every role and function 

Nearly every leader is looking to optimize their core business functions. They’re looking for cost savings, increased efficiency, modernized operations, topline revenue growth, or market growth. Today, AI is becoming the catalyst that can accelerate these outcomes across every business role and function.

Take sales, for example. Sales leaders have many highly specific priorities, including optimizing seller time with customers, ensuring data quality and pipeline hygiene, and shortening the sales cycle so they can deliver revenue faster. However, traditional sales technology often gets in the way. Sellers are juggling highly manual and disjoined processes spanning email, spreadsheets, and customer relationship management (CRM) software. It’s no wonder that 78 percent of sellers would be happy to have some help from AI to make everyday tasks easier.¹

With Microsoft Sales Copilot, we’re already seeing organizations like global security services provider Securitas empower their sellers to spend less time on data entry and focus more of their energy on customers. Philip Eklund, Vice President of Client Engagement Platform at Securitas, says, “Opportunity summary in Microsoft Sales Copilot is a huge and important leap in our direction to save more time for our sales personnel.”

Let’s consider another critical business function: security. For security professionals, AI is the game-changer we’ve been waiting for. It’s not just about defense, it’s about taking the initiative, learning from the environment, and adapting faster than the threats can evolve. Asset management firm Bridgewater, one of the organizations currently previewing Microsoft Security Copilot, claims that this leap forward is so momentous that security operations from 2021 may seem “prehistoric” by December 2024.

These core business functions are undergoing a fundamental shift, with AI redefining what success looks like and how organizations can deliver value.

Envisioning a new future for every industry

Every industry is facing unique challenges, opportunities, pressures, and constraints, and the effects of generative AI will be felt in radically different ways depending on whether you’re in the energy sector, financial services, manufacturing, or any other industry. But one thing is clear—the potential for impact is incredible.

This potential is perhaps most evident when we consider healthcare. AI can help reinvent care delivery with more personalized patient experiences, increase the productivity and efficiency of care practitioners to address industry challenges like clinician burnout, and unlock predictive insights that help to improve the quality and accessibility of healthcare services. We’re proud to partner with industry leaders like Epic to bring together Microsoft Cloud for Healthcare with Epic’s deep healthcare expertise. Capabilities like Microsoft Azure OpenAI Service, Nuance DAX Copilot, and our partnership with Epic are revolutionary for the healthcare industry—take a look at how our AI-powered solutions can help clinicians reduce administrative burden and enable them to spend more time focused on direct patient care.

Another industry in which AI will have an incredible impact is retail—in fact, McKinsey estimates that generative AI could deliver increased revenue of up to $660 billion each year for the retail and consumer packaged goods sectors through increased revenue, greater customer loyalty, or operational efficiencies.² We’ll see this transformation take shape with more personalized customer experiences, conversational commerce, analytics, customer service, more productive store associates, and new supply chain efficiencies, just to name a few.

One retail use case gaining traction is frictionless shopping. Facing narrow profit margins and a labor shortage impacting much of the world, retailers are looking for ways to drive down operational costs while continuing to delight their customers—and AI is putting autonomous, frictionless shopping experiences within reach for retailers large and small. Choice Market, a small but growing convenience chain, is using Microsoft Cloud for Retail to better understand its customers so they can offer the right product, at the right price, in the right place—including their best-selling breakfast burrito.

Our responsibility to shape the future together

As we transform productivity for every individual, shift the definition of success for every role and function, and envision new futures for radically different industries, considering AI safety is not an optional feature. It’s a requirement, and it can’t be an afterthought. 

That’s why Microsoft is committed to responsible AI, an approach to developing, assessing, deploying, and using AI systems in a way that aligns with human values and does not cause harm to individuals, communities, or society. We are committed to sharing our learnings around responsible AI as we’ve developed and deployed our own AI solutions, and offering tools and resources to help our customers approach AI responsibly for their own organizations.

And as you chart your path in this new era of AI, we are committed to supporting you with guidance, resources, and information you can use.

We’ve worked with customers, industry experts, and Microsoft leaders to identify five critical factors for AI success that you should consider as your organization looks to the future. You can also explore some of the top use cases we’ve seen deliver impact across industries, as inspiration for how you can get started.

The opportunity before all of us to shape this new era of AI is simply extraordinary, and it’s one of the most significant shifts of our generation. We’re excited to partner with you on this journey.  

Sources

¹ How Sellers Can Use AI to Better Engage with Customers

² The economic potential of generative AI: The next productivity frontier, McKinsey Digital

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