At Microsoft, prioritizing sustainable practices with suppliers has also helped us uncover new opportunities for innovation and cost optimization.  

Our new guide, Reduce Risk, Create Resilience: Advancing Supply Chain Sustainability, outlines how data intelligence and collaboration can transform supply chains to be more agile, sustainable, and resilient. We offer lessons from our own experience as we strive to meet our ambitions to be carbon negative, water positive, and zero waste by 2030, all while protecting ecosystems. And we provide actionable insights and practical steps to help customers address reporting pressures, mitigate risks, and seize opportunities for innovation, ultimately driving resilience and long-term value.

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Aligning data and systems for the road ahead 

Organizations are facing growing regulations and customer expectations to prioritize sustainable practices. To make meaningful change, organizations and their suppliers must share data and work together to address challenges across the ecosystem.  

Advanced analytics and AI are transforming supply chain sustainability at Microsoft. By leveraging these technologies, we accelerate day-to-day work, gain real-time insights, and drive co-innovation to meet sustainability reporting requirements as well as business continuity needs. 

For instance, our procurement team used Microsoft Cloud for Sustainability to centralize supplier emissions data and streamline processes. By integrating AI-powered automation, such as automated review of supplier assurance letters, we reduced survey processing time by 92%. 

Eckes-Granini, a European producer of name-brand fruit juices, is committed to ensuring that all its raw ingredients are sustainably sourced by 2030. The company used Microsoft Intelligent Data Platform including Microsoft Azure and Microsoft Power BI to connect to essential data sources and create precise visualizations of suppliers’ progress. This enables Eckes-Granini to track risks and follow up with suppliers accordingly. Now almost 70% of Eckes-Granini’s juice ingredients meet sustainability standards, and the company is better prepared to respond to Germany’s Supply Chain Due Diligence Act.

Choosing carbon-free electricity solutions 

Carbon-free electricity (CFE), such as wind, solar, and hydroelectric power, can be a powerful lever for decarbonization through improved fuel efficiency while helping to reduce exposure to varying fuel prices. These solutions can play an integral role in industry decarbonization goals, such as the International Maritime Organization’s target of reducing a 50% of their absolute CO₂ emissions from 2008 levels, by 2050.^{1 2} Organizations can help scale these efforts and the benefits of CFE in supply chains by launching supplier enablement programs.  

To help meet our own carbon reduction targets, Microsoft now requires suppliers to transition to 100% carbon-free electricity for the goods and services delivered to Microsoft by 2030. We’re making this easier for suppliers through our Supplier REach Portal, co-created with 3Degrees, to streamline access and procurement of CFE; and Zettawatts’ Supplier CFE Program, to provide assistance for reaching our CFE requirement, from understanding CFE procurement to discussing goals, developing plans and budgets, and reviewing agreements. 

Turkish energy company Enerjisa Üretim established a round-the-clock remote operation center that receives more than 50,000 signals per second from its large network of hydropower, wind, and solar plants. It processes the data using an Azure-based solution including Azure IoT Hub, Azure Digital Twins, and Azure Machine Learning. The solution delivers real-time monitoring and data analytics on power plant performance—all in one centralized location. It also uses Microsoft Azure OpenAI Service to forecast future outcomes, predicting average daily production for turbines for up to two months.

Creating new value from resource optimization 

The World Economic Forum estimates that adopting circular business models could unlock up to USD4.5 trillion in value by 2030.³ By adopting circularity, companies can not only help meet regulatory requirements but also drive new innovation, enhance their brand reputation, and differentiate their business. 

With a focus on the long-term value of resources, companies can uncover ways to reduce environmental impact while also increasing value for the business. Supply chains are central to this opportunity. 

To help meet our goal of becoming a zero waste company by 2030, Microsoft set a target of reusing or recycling 90% of our cloud hardware by 2025. We not only reached that target a year early—we exceeded it. In 2024, we reached a 90.9% reuse and recycling rate of our cloud servers and components.

Within our global datacenters, Microsoft Circular Centers are foundational to this work, enabling us to process and route decommissioned servers and hardware components to their next useful lives, such as internal reuse, other electronic supply chains, or academies that train datacenter technicians. 

Reinventing supply chain logistics  

Supply chain logistics challenges are bigger than any one company. To meet growing regulatory and market pressures, organizations need to leverage data and AI technology across their ecosystems and industries. Sharing data at a more granular level, they can identify opportunities to improve infrastructure and boost sustainability across whole logistics networks.  

Applying this principle, Microsoft has moved our cloud supply chain to renewable diesel in our road freight operations in Europe and California while keeping existing equipment in use. 

We’re also advancing aviation decarbonization by integrating sustainable aviation fuel (SAF) into shipments of cloud hardware. Through multi-year agreements, we’re working to reduce air freight emissions and help scale the adoption of SAF across the industry.³ 

Results so far include: 

• 50% lower emissions for road freight operations in Europe and California, using renewable diesel.
• 17,000 metric tons of carbon dioxide equivalents (mtCO2e) saved through SAF, compared to conventional transportation fuels.
• 73% lower relative carbon intensity of our cloud logistics supply chain since 2022 through lower-carbon transportation and logistics consolidation. 

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Get started mapping your sustainable supply chains 

Supply chain sustainability is unique for every organization. Take the first steps by exploring the ins and outs of using data technology and collaboration to drive environmental reporting compliance, adaptability, customer and stakeholder satisfaction, and innovation.  

• Dive in with the guide: Reduce Risk, Create Resilience: Advancing Supply Chain Sustainability. 
• Explore Microsoft Cloud for Sustainability.
• Read about AI transformations for sustainability.

¹ The Intergovernmental Panel on Climate Change (IPCC) defines decarbonization as: “The process by which countries, individuals or other entities aim to achieve zero fossil carbon existence. Typically refers to a reduction of the carbon emissions associated with electricity, industry and transport.” (IPCC)

² Decarbonized supply chains are resilient supply chains, McKinsey, 2022.

³ Circular Transformation of Industries: Unlocking Economic Value, World Economic Forum, 2025.

The post Reduce risk and improve resilience: Insights from Microsoft on advancing supply chain sustainability appeared first on Microsoft Sustainability Blog.

Zero waste by 2030 is a cornerstone of our sustainability strategy, along with becoming carbon negative, water positive, and protecting more land than we use. This recent milestone, driven by a culture of innovation and cross-functional collaboration, reflects the growing momentum to integrate zero waste and circularity practices across the technology industry.

Working alongside our recovery partners and suppliers, we are advancing the sustainability of our cloud supply chain and driving toward our zero-waste target in three key areas: (1) piloting the sustainable extraction of rare earth minerals from hard disk drives at scale, (2) continuing to expand our Circular Centers around the world, and (3) co-creating recyclable packaging solutions for transporting datacenter hardware.

Innovating to create a US-based supply of recycled rare earth elements

Today, we’re announcing a collaboration with Western Digital, Critical Materials Recycling, and PedalPoint Recycling demonstrating how we transformed approximately 50,000 pounds of end-of-life hard disk drives (HDDs) and other materials into critical, high-value materials, recovering rare earth elements (REEs) like neodymium and precious metals like gold and copper. By enabling the REE recovery process to be managed domestically, the program was designed to minimize transportation emissions and boost the resilience of the United States REE supply chain by decreasing dependence on imported materials.

When HDDs are retired from service, the data-carrying components are sanitized and shredded to ensure data security, while other components are separated in order to enable recycling and recirculation of REE materials. This initiative tackled some of the persistent technical challenges with recycling REEs: developing methods to achieve a high recovery rate for the materials, finding a recycling technique that avoids the use of harsh chemicals, and proving that the REE recycling process can be economically viable in the long term.

The innovative, acid-free dissolution of shredded HDDs delivered an impressive 90% high-yield recovery of elemental and rare-earth materials. In addition, the recycling process has an estimated 95% reduction in emissions compared to traditional mining and processing practices, based on life cycle analysis. Setting a new standard for industrial recovery of critical materials, this initiative was one of the first demonstrations of large scale, in-country recycling of essential metals and materials.

Expanding Circular Centers around the globe

Across the company, our teams are working to improve resource efficiency and expand the lifetime value of materials through the three Rs: reduce, reuse, and recover. Within our global datacenters, our Microsoft Circular Centers are foundational to our progress, enabling us to process and route decommissioned servers and hardware components to their next useful lives, such as internal reuse, other electronic supply chains, or academies that train datacenter technicians.

By redesigning systems to reduce waste, then reusing and recovering materials wherever possible, we’re saving costs, gaining efficiency, and discovering new opportunities for hardware and infrastructure components. For example, we have successfully reused more than 3.2 million components through internal and external channels in 2024, recognizing a 30% increase or more in value recovery through our Circular Center program.

Since opening our first Circular Center in Amsterdam, the Netherlands, in 2020, we’ve built five additional facilities in the United States—Boydton, Virginia; Chicago, Illinois; and Quincy, Washington—as well as in Dublin, Ireland, and Singapore. To continue to connect our reuse and recycling around the globe, new Circular Centers are planned for Cardiff, Wales; New South Wales, Australia; and San Antonio, Texas.

As we build on progress over the past five years, we’re excited to continue accelerating circularity practices across our business. Preventing waste remains the core of our zero-waste strategy. In addition, we’re continuing to invest in expanding markets for circular solutions and collaborating with local organizations to support circularity in the communities where we operate and work.

Co-creating novel packaging solutions for datacenter hardware

In addition to advancing hardware circularity, we are also tackling the challenge of packaging for all of the hardware and components we use in our datacenters. With more than 150 original equipment manufacturers (OEMs) supplying our datacenters, solutions need to ensure the same level of protection and security for servers, racks, and components as traditional packaging methods.

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One of the key challenges with packaging for the hardware and components in our datacenters is that it is typically multi-layered—for example, packaging for server racks might include a layer of wood, then glue, foam, then more wood. Because of this, the packaging was traditionally not recyclable via curbside pickup. Over the past 18 months, our Cloud Logistics team has worked with suppliers, logistics service providers, and recyclers to take those pallets and separate the layers, making the materials recyclable through local collaborations.

As a result, packaging from more than 30,000 server racks was processed through our global packaging recycling program, diverting more than 2,500 metric tons of waste from landfills. Moving forward, we are exploring the expansion of this recycling program to other types of packaging such as those used for cables, spares, and network components.

Beyond recycling, our teams look for opportunities to reuse materials within the value chain to reduce the need to procure something new and enable increased waste diversion, whether for hardware, components, or packaging. For example, we are working to reduce the hard-to-recycle, plastic-based, expanded polyethylene (EPE) foam in packaging, replacing it with more sustainable paper and pulp alternatives.

Another impactful way to increase circularity in our supply chain is with innovations in packaging for our server racks. We’re currently testing reusable solutions that advance sustainability and improve business efficiency by reducing cost and providing consistency in the unpacking experience for datacenter teams, all while keeping server racks safe during transport and handling.

Explore Microsoft’s work to reduce waste in our datacenters

To learn more about Microsoft’s work to reduce waste in our datacenters, check out datacenters.microsoft.com/sustainability.

For business leaders interested in developing a circular strategy for their organization, read the whitepaper Four pillars of a successful circular datacenter hardware program with deeper insight into four essential aspects of Microsoft’s Circular Center program. 

The post Sustainable by design: Innovating for zero waste appeared first on Microsoft Sustainability Blog.

In a recent playbook, Accelerating sustainability with AI: Innovations for a better future, we outlined our five plays to advance sustainability, providing insight into our work at Microsoft and how business leaders around the world are creating a new path forward.

The reason to choose AI for this work? It has three unique abilities that can help organizations overcome key bottlenecks. AI can: (1) measure, predict, and optimize complex systems, (2) accelerate the development of sustainability solutions, and (3), empower the sustainability workforce. These capabilities make AI a critical enabler of progress.

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How can business leaders harness AI to accelerate resilience, efficiency, and sustainability in their organization?

I recently met with Lindsay Myers, Vice President, Commercial Cross Solutions at Microsoft, who leads our Commercial Sustainability business, to talk more about this guidance and how business leaders can harness AI to accelerate resilience, efficiency, and sustainability in their organizations.

Toby: Hi Lindsay, before we dive into the playbook, can you share your thoughts on how organizations are adopting AI to address these interconnected goals of resilience, efficiency, and sustainability?

Lindsay: It’s important to highlight how interconnected these goals are in many organizations today. We often see initiatives started by sustainability teams result in significant cost savings for organizations. This might be efficiency gains for existing operations, or entirely new approaches like digital twins that enable rapid iteration before initial prototypes are built. When companies choose an approach like digital twins, it can reduce the materials needed for physical models—saving time and costs—while improving resilience through agility.

Explore customer and partner examples of AI innovation

Toby: Can you give me some examples of customers and partners who are doing this work today?

Lindsay: AI is making a real difference in helping organizations prepare for climate risks, innovate for maximum efficiency, and solve complex challenges. For example, in Germany, where urban flooding is a major concern, cities are searching for innovative ways to mitigate the impacts of heavy rainfall and its impact on communities and infrastructure. Esri, a global leader in geographic information system (GIS) software is helping cities unlock the power of digital twins driven by geospatial data and AI. This solution helped the City of Stuttgart cut its reality mapping time from five months to 24 hours, enabling local government and public safety staff to understand potential impacts and make decisions faster.

Stadtwerke München (SWM), the municipal utilities company serving Munich, has made it its mission to drive every aspect of the city’s energy, heating, and mobility transition forward. To accomplish this, it needed maximum-efficiency processes, such as predictive infrastructure maintenance and optimized operations planning. It has turned to Microsoft Azure and Azure IoT to efficiently provide power to its public transport fleet of 100% electrified vehicles.

Unlock new possibilities with data and AI

Toby: Those are inspiring examples; they give a real sense of AI’s potential. The playbook outlines 5 plays, or ways that organizations can unlock this potential. Could you describe some of these?

Lindsay: Let’s talk first about the first two plays and how they work together.

Investing in AI solutions to measure, predict, and optimize complex systems can drive both innovation and efficiency, helping companies focus on the most strategic priorities for business resilience.

For example, Mitiga Solutions, a global leader in climate risk intelligence and a Microsoft Climate Innovation Fund investment leverages AI, high-performance computing, and advanced climate models to predict the impact of physical climate hazards on any asset, anywhere in the world, from now until the end of the century. This helps infrastructure, commercial real estate, insurers, and companies across industries comply with climate disclosure regulations while proactively strengthening their resilience.

 With AI-powered solutions, businesses can swiftly tackle complex challenges across their own supply chains and for their customers. This not only positions companies as leaders in sustainability but can also unlock new market opportunities and enhance their competitive advantage.

It’s crucial to build a strong digital and data infrastructure to maximize AI’s potential—your AI is only as good as the data it relies on. That’s why having high-quality, representative data and the right processing infrastructure is essential. It enables teams to make informed decisions and provides accurate input for AI applications.

For many of our customers and partners, these two plays are closely linked. The foundational work involves bringing all the necessary data together in one place, like in Microsoft Fabric. What’s amazing about Fabric is it lets you reason over both internal and external data, which is incredibly helpful for things like regulatory reporting.

Once your data is set up properly, your team can use solutions such as Microsoft Copilot to ask questions of their data, generate reports, and learn from industry best practices. Copilot streamlines these tasks, reducing manual work and enabling practitioners to focus their time on new strategic initiatives.

Minimize resource use in AI design and operations

Toby: When I talk to organizations looking to adopt AI, customers and partners often want to learn more about what Microsoft is doing to reduce the environmental impact of AI. Could we talk a bit about that?

Lindsay: Absolutely. Let’s talk about play 3 and how that relates to our work at Microsoft.

AI has its own energy and water demands, so it’s crucial to minimize resource use and move toward powering AI systems with carbon-free energy. In addition, since AI infrastructure is often concentrated in specific regions, it is essential to support the local communities where datacenters are located. At Microsoft, we’re innovating across three critical areas to continue to advance the sustainability of cloud and AI services:

1. Optimizing datacenter energy, water, and waste efficiency while protecting ecosystems.
2. Advancing low-carbon materials and creating global markets to promote industry-wide sustainability.
3. Enhancing the energy efficiency of AI and cloud services.

Many of our customers and partners want to know not only what we’re doing, but also what they can do to manage resource use. Our Well-Architected Framework sustainability guidance provides a great starting point, as well as small language models that perform specific tasks using fewer resources than larger models.

Build workforce capacity to use AI for sustainability

Toby: The pace of innovation in this domain is incredible. Is there anything more you’d like to add in terms of how your team helps leaders move their ideas from concept to implementation?

Lindsay: The way forward on this journey is through people working together, and this is an area where we can help customers and partners make progress. Let’s talk about the final play first:

For companies to be able to put AI’s three game-changing capabilities to work, they must have skills to use AI effectively. Microsoft has training programs focused on building AI fluency, supporting nonprofits, businesses, and governments in advancing workforce AI technical skills and promoting safe and responsible AI development.

Microsoft’s AI learning hub can empower customers on their AI transformation journey, and customers can also use Copilot to connect with their data in Microsoft Cloud for Sustainability and sustainability data solutions in Microsoft Fabric. With these tools, employees can quickly gain insights, understand gaps, and identify what’s needed to move initiatives forward.

Toby: Thank you, Lindsay!

Transform business using generative AI

For business leaders wanting to put these plays in action and guide their organizations through effective AI adoption, we’ve published the 2025 AI Decision Brief: Insights from Microsoft and AI leaders on navigating the generative AI platform shift. This report is packed with perspectives from top Microsoft leaders and insights from AI innovators, along with stories of companies across industries that have transformed their businesses using generative AI.

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The post Harnessing AI for resilience, efficiency, and sustainability appeared first on Microsoft Sustainability Blog.

It is also a notable year for Microsoft. In addition to celebrating the 50th anniversary of our company’s founding, it is the midpoint of our own sustainability journey. In 2020 we announced our ambitions to be carbon negative, water positive, and zero waste by 2030, all while protecting ecosystems. We have made tremendous progress over the past five years, and we are proud of what we’ve accomplished. We’ve also learned lessons along the way, lessons that constantly inform and shape our path toward 2030 and beyond.

The goals that we set in 2020 reflected what we believed we needed to do in order to help push the world toward a net-zero economy. I joined Microsoft on this journey two years ago—becoming our Chief Sustainability Officer in January 2023—and I continue to be impressed by the work of employees across the company in their relentless pursuit of these goals.

In June 2020, we announced our largest power PPA to date at the time—a 500MW PPA with Sol Systems. Today, we are one of the largest carbon-free energy buyers in the world, with a 34-gigawatt (GW) contracted renewable energy portfolio across 24 countries to date. We are bringing more carbon-free electricity onto the grids where we operate, and we continue to advocate for the expansion of clean energy solutions around the world.
A key component of our water positive goal is to replenish more water than we consume across our global operations. We’ve grown our replenishment portfolio to 90 projects in over 40 locations around the world.
On our journey to become zero waste, we’re finding opportunities to keep electronics in circulation. The repairability of our current portfolio of Surface devices has evolved significantly from our first field-repairable product in 2019. This is also true of Xbox, which recently announced how they’re working to expand the number of ways players can get support to repair their consoles and accessories.
We exceeded our land protection goal, with 15,849 acres of protected land and surpassed our initial target of 11,000 acres by more than 40%.
This is only a snapshot of the real progress we’ve made over the last 5 years. We have a longstanding commitment to sustainability, and our experience shows us that the investments and innovations we’ve focused on are good for our company, our customers, the economy, and our planet. Every investment has also been a learning opportunity, a chance to test our assumptions and adjust as needed.

While we are proud of these achievements, we know that our work is far from over, and that the path ahead has gotten harder. The world is not on track to meet critical climate goals and we see many of these challenges reflected in our own journey.

In 2020, Microsoft leaders referred to our sustainability goals as a “moonshot,” and nearly five years later, we have had to acknowledge that the moon has gotten further away. However, the force creating this distance from our goals in the short term is the same one that will help us build a bigger, faster, and more powerful rocket to reach them in the long term: artificial intelligence (AI). This is not hyperbole. Already, we are seeing AI make a positive impact on the planet, and in the coming years, this technology will begin to rapidly accelerate climate solutions at a scale we’ve not yet seen. In November 2023, we introduced our AI and Sustainability Playbook, which highlights five foundational enabling conditions needed to unlock AI’s full transformative potential for accelerating sustainability progress. In January, we shared a report that highlights our progress and the innovations that have advanced each of those five pillars.

Building the AI economy of the future is a top priority for our business, but we are also in the business of sustainability. As CSO, it is my job to ensure that these dual mandates are working together.

To achieve this, we need to run our sustainability initiatives like we run the rest of our business: ensuring that our focus is on the highest-impact interventions that truly move the needle when it comes to planetary impact.

Carbon Neutrality
Microsoft announced that it was carbon neutral in 2012, several years ahead of our ambitious goal to be carbon negative by 2030. Microsoft’s prior years achieving carbon neutrality were based on a common combination of environmental attributes purchased with funds from our corporate-wide carbon fee and our overall carbon emissions reduction efforts. This is a prime example of where we have learned and adjusted along our journey. While we continue to apply the carbon fee to investments in emissions reductions, we have ceased purchasing non-additional, unbundled renewable energy certificates. We are refocusing the use of these funds on more long-term, higher-impact investments across carbon reduction, carbon removal, and clean electricity procurement. These interventions are expected to more effectively help us achieve our goal of becoming carbon negative by 2030 and may take us out of carbon-neutral position.

We will also continue to invest in innovative climate solutions through our $1B Climate Innovation Fund (CIF). Since launching the CIF in 2020, Microsoft has committed nearly $800M to solutions ranging from sustainable fuels and low-carbon building materials to carbon dioxide removal, water innovation, and circular economy technologies. We now have a portfolio of 63 investees that we’re helping to scale. Going forward, we will extend this strategy and continue to invest our capital to build new markets and increase the market supply of emerging sustainable technologies to address carbon, water, and waste.

We are proud to continue making decisions that drive positive environmental impact in the market and deliver high-integrity investments. We remain resolute in our commitment to our climate goals and to empowering others with the technology needed to build a more sustainable future.

In my first year with Microsoft, I wrote a piece on LinkedIn: Removing Roadblocks in the Race to Net Zero, where I compared reaching our sustainability goals to training for a marathon, noting that “it will take focus, planning, and perseverance to reach the finish line.” Today—and now two years into my role—I would like to add another comparison, to an African proverb that says the following: “If you want to travel fast, travel alone; if you want to travel far, travel together.”

In 2025, the moon is further away, so we all must travel together and do more if we are going to reach it. We will continue to work in close collaboration with our employees, customers, suppliers, industry peers, partners, and with policymakers to maximize our impact in pursuit of our shared goals.

The post Progress on the road to 2030 appeared first on Microsoft Sustainability Blog.

These initiatives focus on harnessing data insights from smart technologies such as automation, Internet of Things (IoT), and AI, to improve how products are made and distributed. By unifying this and other data—including siloed data sets—into a single ESG data estate, manufacturing organizations can gain holistic views and granular insights to help them not only meet ESG reporting requirements, but also drive the sustainability of sourcing, making, transporting, and disposing of products—and implement business practices that advance a circular economy.  

To support your organization as you explore options and identify cost-effective steps in this era of industrial transformation, we’ve gathered learnings and recommendations into the Leader’s Guide to Sustainable Business Transformation. We’ve also created an ESG data readiness assessment to help you get started quickly. 

A more responsible, competitive path forward 

Manufacturing and mobility organizations that develop smart, automated, and data-driven processes as part of industrial transformation—and incorporate sustainability into those processes—are well positioned to gain a competitive advantage. ESG insights can help manufacturers achieve a range of goals across the value chain, such as:  

• Improved risk management and the protection of critical production processes.
• Engagement with vendors and suppliers to address Scope 3 emissions, reduce exposure to impacts from climate risks, and governance loopholes.
• Reduced costs and improved traceability with streamlined technology resources.
• More responsible capital deployment.  

With advanced solutions, organizations have already begun making these improvements. For example, Sandvik, a leader in mining industry manufacturing, implemented Microsoft AI and cloud technologies to enhance predictive maintenance and lower emissions, allowing them to cut down on waste and optimize resource use. 

ESG data: The input that fuels comprehensive sustainability 

To achieve the full potential of ESG data—from the shop floor to the board room—manufacturing and mobility organizations can benefit from evaluating sustainability comprehensively, in terms of environmental concerns as well as social and governance impacts. This approach uses ESG data insights to improve risk management and protect the value of critical product processes, and to make decisions that improve energy use, labor practices, supply chain transparency, regulatory compliance, and more.  

For example, Outokumpu, a worldwide leader in stainless steel production, tapped into the power of data by developing an industrial digital platform based on Microsoft Azure. The insights this platform provided led to significantly reduced waste (due to fewer defects) and energy usage—contributing to lower CO2 emissions. 

Key ways to maximize the benefits of ESG data in manufacturing and mobility include: 

• Build a data-driven infrastructure: ensure that systems are in place to collect and integrate accurate ESG data seamlessly across all departments.
• Leverage predictive insights: use AI and analytics to forecast and optimize operations, including by using natural language querying to enable all teams to access insights—enabling efficient resource use and proactive risk management.
• Foster a culture of sustainability: from executives to front-line workers, train employees in how ESG data can improve decision-making and drive sustainability outcomes. 

Implementing these ideas can provide the foundation for using ESG data to drive long-term success, and to make significant improvements relatively quickly. For instance, Nordic-based OSTP Group, which specializes in manufacturing stainless steel products and custom equipment, is using Microsoft technologies to track and report CO2 emissions. The data insights they gained led to a 70% reduction in direct CO2 emissions from 2021 to 2023. 

Schneider Electric, a global leader in energy management and industrial automation, has also reduced carbon emissions and optimized energy use—leveraging Azure OpenAI and other Microsoft AI technologies to boost not only sustainability, but also their engineers’ productivity. 

How Microsoft is powering sustainable transformations  

Microsoft has emerged as a leading partner for manufacturing and mobility organizations on their journey toward sustainability. We’ve designed our solutions to help businesses in three primary ways: 

1. Improve ESG data transparency: We’re continuously innovating to enable our customers to glean consolidated data intelligence from across their operations and value chain.
2. Deliver actionable insights: Microsoft has a deep slate of expertise helping manufacturers maximize operational efficiencies using sensor-enabled data management and automated scenarios powered by the Microsoft Cloud.
3. Create new opportunities: We are a global leader in enabling digital transformation through our data and AI solutions, to help businesses grow while becoming more sustainable. 

We’re delivering for these solution areas by bringing together a growing set of ESG data and AI capabilities from Microsoft and our global ecosystem of partners, in Microsoft Cloud for Sustainability.  

A core solution in this suite is Microsoft Sustainability Manager, which allows businesses to more easily record, report, and reduce their environmental impact through data connections and powerful AI-powered analytics—and can be integrated with virtually any business system. With this solution, manufacturing and mobility teams advance on carbon, water, and waste management, as well as circularity.  

Businesses can also implement the purpose-built ESG capabilities of Sustainability data solutions in Microsoft Fabric, to integrate, normalize, and analyze ESG data—and other enterprise data—on a single digital platform. Together, these capabilities help improve ESG data accuracy and transparency, simplify reporting processes, and accelerate progress toward goals.  

Swedish forestry giant Södra is showing what’s possible with these capabilities. Södra utilizes Microsoft Sustainability Manager to improve supply chain transparency and track sustainability data across its entire operation, allowing them to reduce reliance on carbon-intensive materials, displacing 8.8 million tons of CO2 emissions annually. Södra estimates the positive impact of this accomplishment as equivalent to one-fifth of Sweden’s annual reported carbon emissions. 

A sustainable future begins with smarter solutions 

As manufacturing and mobility continues to transform, both smart technologies and ESG data will help companies drive sustainability, meet compliance and reporting requirements, and uncover new opportunities for growth. Microsoft is here to help organizations make the transition with solutions to help reduce their environmental impact, improve operational efficiency, and position themselves for long-term success in a rapidly changing world. To gain a view of your ESG data across key areas, as well as customized guidance on how to drive sustainability progress and add business value, complete our readiness assessment.

Explore ESG readiness for other industries

• Retail and consumer goods: Unlocking business value with data-driven sustainability for retail and consumer goods
• Financial services: ESG data readiness drives value for financial services firms

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At the same time, individual financial services firms may encounter a risk of disconnect with these stakeholders, primarily due to challenges and questions around disparities between firms’ presentation of their sustainability products, and the accuracy of the ESG data that underlies those products.  

Meanwhile, firms seek to comply with increasing ESG regulations and standards. And they need to meet, and ideally exceed, internal targets for sustainability progress in their own operations. 

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Accordingly, the financial services industry is facing a complex constellation of challenges, with hurdles between the current state and the gaining of comprehensive ESG data insights—against a backdrop of confusion and intense competition.  

But once firms begin their data transformation journey, they’re increasingly well set to leverage data technology to drive meaningful value, from creating audit-ready ESG products to harnessing AI for advanced risk modeling. 

Positioning ESG data as a driver 

Microsoft knows firsthand the value of integrating ESG data with financial, operational, and other enterprise data. Without a connected and systemic view, firms lack holistic insight into equities, loans, or insured assets, leading to a competitive disadvantage. 

As we’ve worked over the last two decades to untangle and solve challenges at Microsoft in support of our own ESG data estate—and to drive on our sustainability commitments—we’ve regularly turned to experts in the field and endeavored to share our learnings. In taking solutions forward to our global customer base, we’ve seen that for financial services firms, the development of a comprehensive ESG data estate can advance speed to market as well as credibility of products. For example, Robeco, a Dutch international asset management organization, can now perform daily data updates for all its sustainable investing solutions—staying laser-focused on returns, but with audit-ready confidence and ESG transparency.  

Priorities for financial organizations translate to inroads in the development of an ESG data estate. For example:  

• Advanced data integration: Develop more sophisticated tools and systems to integrate ESG data seamlessly along with quality governance to inform comprehensive analyses and outcomes. 
• Sustainable and ESG investing and lending: Use data analytics to better identify and expand portfolio-level ESG assessments for risk and performance management.  
• Responsible allocation of transition capital: Help corporate clients achieve their sustainable transition goals through data-driven decision making. 
• Carbon credit markets: Support carbon trading initiatives with robust data management systems for tracking and reporting credits and trading activities.  
• Risk modeling modernization: Leverage AI capabilities to enhance risk modeling practices used in underwriting, pricing, and loan assessments.  

High-value initial steps toward ESG data readiness 

Just like with data security, developing an ESG data estate in a financial services firm doesn’t happen in a single effort. Instead, your firm can benefit from taking a customized approach based on your current data state, regulations, and data governance policy, and desired outcomes as you identify opportunities. 

Depending on the maturity of your existing data infrastructure, your organization may want to consider starting within one, or a mix, of these areas: 

Data gathering

• Develop a plan for integrating ESG data into your portfolio’s due diligence and risk analysis.
• Standardize a process for collecting and updating ESG data—from both internal and external sources. 

Data modernization

• Leverage digital capabilities to deliver new financial products to market.
• Enhance financial data compliance, governance, and security. 

Data insights  

• Implement comprehensive ESG training for your customers to support effective analysis and decision-making, with industry-specific components.
• Develop an AI-powered data system for accelerated ESG analysis tailored to your clients’ needs.  

Data action  

• Develop advanced ESG data systems to pinpoint data gaps and data accuracy risks.
• Align your decision-making and strategy to complete and accurate data. 

Advancing your sustainability journey with Microsoft AI-powered solutions 

We see enormous potential for financial services firms to tackle risks and capitalize on opportunities driven by sustainability, for themselves and their clients, and we believe comprehensive, harmonized, accessible data is the key.  

With cloud-based data capabilities, including Microsoft Cloud for Sustainability, Microsoft Fabric, and our AI-powered data solutions, we can help you shift from siloed data and labor-intensive processes to streamlined management that results in timely ESG insights and transparent reporting out to stakeholders—all with Microsoft security and governance. 

Once firms gain comprehensive management and insights into their ESG data, the potential for new and enhanced client services quickly follows. For example, United States-based economics research firm Moody’s leverages Microsoft Fabric solutions, AI-powered insights, and Microsoft Security to enable their 14,000 global employees to drive innovation for clients. In the United Kingdom, the London Stock Exchange Group (LSEG) selectively deploys generative AI to augment their existing work in Microsoft Fabric with custom chatbots and agents copilots.  

Empowering the financial services industry for sustainability success  

We know that for us to do well, our customers and the world must also do well. Our mission is to empower every individual and organization on the planet to achieve more, by building technology that can deliver business value to our customers, and positive impact to the world. 

Wherever you are in your sustainability journey, we’re here to partner with you—delivering continuous innovation from our solutions teams and our global ecosystem of partners, as we expand our ESG data readiness capabilities to help meet your unique needs in a world that is shifting quickly.  

Explore ESG readiness for other industries

• Retail and consumer goods: Unlocking business value with data-driven sustainability for retail and consumer goods
• Manufacturing: Data is driving a more sustainable industrial transformation

¹ PwC, ESG-focused institutional investment seen soaring 84% to US$33.9 trillion in 2026, making up 21.5% of assets under management: PwC report, October 2022. 

² Stanford Graduate School of Business, The ESG Generation Gap: Millennials and Boomers Split on Their Investing Goals,November 2022. 

The post ESG data readiness drives value for financial services firms appeared first on Microsoft Sustainability Blog.

Beyond the illnesses they cause, food safety incidents have significant negative effects on economies, farmers, the environment in the form of food waste, and governments. Returning to the example of the United States for a moment, the federal government each year budgets over $7 billion of its tax revenue to foodborne illness response programs.³ This is a reactive system, and to reduce the human, financial, and environmental effects of food safety incidents, we need to become more proactive.  

The good news is that we have the tools at our fingertips to create much more predictable food systems. Removing the farming sector’s dependencies on paper record-keeping is a simple first step, as it increases the visibility and reliability of reports. With this groundwork, farmers can start digitizing the food system and using generative AI to analyze large datasets, identify trends, and present insights in easily digestible language and visualizations through tools like Copilot in Excel and Copilot in Power BI.  

Farmers and food suppliers can detect important issues easily with generative AI solutions, like a disruption in the cold chain between the farm and the grocer, which can lead to spoilage. Generative AI can also be used to check for compliance issues and security breaches. It can suggest process improvements, track demand, and trigger alerts that automate real-time responses—all with the goal of responding to food safety incidents before they transform into public health incidents. 

Paving the way for the advancement of AI 

Microsoft Copilot and industry-specific AI agents built by partners with specific expertise in the food production industry represent a potential leap forward in preventative food safety, but they aren’t the only benefit digitalization represents. Other solutions, themselves part of the roadmap toward generative AI adoption, are already enabling meaningful change for food producers. Recent advancements in both Internet of Things (IoT) sensors and the AI technology behind them have enabled technology to mimic the human senses of sight, hearing, and smell to improve traditional food sorting, grading, and inspection processes. Azure Data Manager for Agriculture helps collect data on farms, aiding in the identification of conditions likely to introduce bacteria to crops. 

For example, a food processing company can digitize its quality control process with the help of Microsoft Power Apps, Power BI, and Dataverse. Together, these technologies help the company better capture real-time data, generate more insightful reports and improve overall operational efficiency.

As companies build out capabilities like these, they gain the type of financial benefits and actionable insights and can simultaneously establish a deeper pool of information for future generative AI solutions to draw from. Microsoft Fabric also plays a crucial role in building an AI-ready data estate. By integrating data sources like IoT sensors, temperature monitors, and historical data, Fabric helps companies establish more comprehensive data platforms. With the advanced predictive analytics these platforms can generate, food suppliers can reduce product recalls, prevent the spread of counterfeit goods, minimize food waste, and increase consumer trust.  

Bringing better farming data into the mix 

By consolidating its data, increasing the number of advanced sensors it employs, and tracking broader types of data, the food production industry is making way for even greater advancement. Copilot and customized agents can rapidly analyze every stage of the food supply chain, from farm to table. Today’s visual recognition technology often identifies contaminants in food products faster and in smaller concentrations than its human counterparts. Generative AI models can use this data to aid in the detection of foreign objects and pathogens in either raw ingredients or finished food products. Analysis of historical and real-time data from temperature sensors in food production and warehousing facilities can help alert producers to conditions that contribute to excess food spoilage. When an agent recognizes farming or food processing irregularities, it can generate predictions based on historical data, check for compliance issues, and suggest operational improvements. By bringing together farm-specific data like local weather conditions, soil makeup, and pest populations, agents could help predict and mitigate seasonal risks to crops.

Looking ahead 

The future of food safety will rely on the continued integration of technology and data into the world’s food production and distribution processes. Customized agents powered by AI can perform tasks and provide decision support to improve food safety. These agents can be built to analyze vast amounts of data from spreadsheets, handwritten documents, voice memos, and videos, uncovering previously undetected errors and missing information.  

Companies in the farming sector can leverage Microsoft Copilot Studio to develop their own intelligent agents that assist with their most critical and risk-prone agricultural processes. Using the low-code interface of Copilot Studio, businesses can quickly create and deploy custom applications without extensive coding knowledge, enabling them to automate tasks such as crop monitoring, pest detection, and resource management. Companies can also choose to collaborate with Microsoft partners with industry-specific expertise, ensuring their solutions are tailored to their specific needs and comply with industry regulations. This partnership approach not only accelerates innovation but also ensures the deployment of robust and effective AI-powered solutions. 

By maximizing the potential of generative AI in food safety, we can predict and prevent many of the sector’s most prevalent issues, improve food quality, and prevent many food safety incidents. There are tremendous opportunities ahead, and collaboration between food producers, the regulatory bodies that oversee them, and technology companies are key to the success of these initiatives. By working together, we can create a safer and more sustainable food system for everyone. 

¹ Food Logistics, Food Recalls in 2024 are Surging. What’s the Crisis Response?, September 2024.

² World Health Organization, Foodborne Diseases Estimates.

³ U.S. Food & Drug, FDA Seeks $7.2 Billion to Protect and Advance Public Health by Enhancing Food Safety and Advancing Medical Product Availability, March 2023.

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