Over the past few years, we have driven remarkable progress accelerating AI innovation together with our customers and partners. We are achieving efficiency and productivity at scale to shape industries and markets around the world. It is time to demand more of AI to solve humanity\u2019s biggest challenges by democratizing intelligence, obsolescing the mundane and unlocking creativity. This is the notion of becoming Frontier: to empower human ambition and find AI-first differentiation in everything we do to maximize an organization\u2019s potential and our impact on society.<\/p>\n
Microsoft\u2019s technology portfolio ensures our customers can go further with AI on their way to becoming Frontier firms, using our AI Transformation success framework as their guide. Our AI business solutions are dramatically changing how people gain actionable insights from data \u2014 fusing the capabilities of AI agents and Copilots while keeping humans at the center. We have the largest, most scalable, most capable cloud and AI platform in the industry for our customers to build upon their aspirations. We remain deeply focused on ensuring AI is used responsibly and securely, and embed security into everything we do to help our customers prioritize cybersecurity and guard against threats.<\/p>\n
We are fortunate to work with thousands of customers and partners around the world \u2014 across every geography and industry. I am pleased to share some of the customer stories being showcased at our recently opened Experience Center One facility \u2014 each exemplifying the path to becoming Frontier.<\/p>\n
Driven by a commitment to innovation,\u00a0sustainability\u00a0and operational excellence,\u00a0ADNOC\u00a0<\/strong>is helping meet the world\u2019s growing energy demands safely and reliably, while accelerating decarbonization efforts. To empower its workforce, the company introduced OneTalent \u2014 a unified AI-powered platform consolidating over 16 legacy HR processes into a single, intelligent system that furthers its dedication to nurturing talent, aligning people with strategic goals and turning every member of its workforce into an AI collaborator. Partnering with Microsoft and AIQ, ADNOC applied AI across its operations to reimagine everything from seismic analysis to predictive maintenance. ENERGYai and Neuron 5 \u2014 AI-powered platforms built natively on Azure OpenAI \u2014 turn complexity into actionable insights. The platforms use predictive models\u00a0to reduce downtime\u00a0\u2014\u00a0by\u00a0as much as 50%\u00a0<\/strong>at one plant.\u00a0<\/strong>They are also using autonomous agents to optimize energy use; unlocking data-driven insights that have\u00a0accelerated\u00a0energy workflows from months or years to just days or minutes<\/strong>.<\/p>\n Asset manager and technology provider\u00a0BlackRock<\/strong>\u00a0has been on a journey to infuse AI to level up how its organization\u00a0operates\u00a0across three key pillars: how they invest, how they\u00a0operate\u00a0and how they serve clients.\u00a0To accelerate this mission, they\u00a0partnered with Microsoft to transform processes across the investment\u00a0management\u00a0lifecycle by integrating cloud and AI technologies alongside its Aladdin platform. Embedded across\u00a020\u00a0applications and accessed by tens of thousands of users,\u00a0the Aladdin platform\u2019s AI capabilities deliver\u00a0functionally\u00a0relevant\u00a0tools\u00a0to\u00a0help\u00a0redefine workflows for\u00a0different types\u00a0of financial service professionals. Client\u00a0relationship managers are\u00a0saving\u00a0hours per client, reducing\u00a0duplication\u00a0and improving\u00a0accuracy<\/strong>\u00a0by\u00a0evaluating CRM and market data to generate personalized client briefs and opportunity analyses\u00a0using natural language processing\u00a0\u2014\u00a0supported by verification and review methods that\u00a0facilitate\u00a0accuracy and compliance.\u00a0Investment compliance officers\u00a0are\u00a0streamlining\u00a0portfolio onboarding and compliance guideline coding,\u00a0saving time on more straightforward tasks to focus on complex, investigative tasks<\/strong>. Portfolio managers can access data, analytics, research summaries, cash balances and more through AI-powered chat capabilities; enabling\u00a0faster, more informed decision-making\u00a0<\/strong>aligned with client mandates. With accelerated insights, improved data quality and enhanced risk management, BlackRock and its clients gain an advantage while\u00a0enhancing client service,\u00a0compliance\u00a0and portfolio management<\/strong>.<\/p>\n To build on its culture of innovation and enable hyper-relevant messaging at scale, multinational advertising and media agency\u00a0dentsu<\/strong>\u00a0built a cutting-edge solution using Azure OpenAI: dentsu.Connect \u2014 a unified OS for its applications. By leveraging the power of AI across the entire campaign lifecycle, clients can build and execute campaigns while predicting marketers\u2019 next best impact with confidence and precision. This end-to-end platform drives data connectivity and ensures seamless interoperability with clients\u2019 technology and data stacks to maximize and drive brand relevance across content, production and media activation while aligning every action with business goals. dentsu.Connect helps minimize the gap between insights and action with speed and precision. Since launching, users have\u00a0increased operational efficiency by 25%, improved business outcomes by 30%\u00a0and\u00a0quickened decision-making and data-driven AI insight generation by 125X<\/strong>.<\/p>\n Water management solutions and services partner\u00a0Ecolab<\/strong>\u00a0is harnessing the power of data-driven solutions to enable organizations to reduce water consumption, maximize system performance and optimize operating costs. Using Microsoft Azure and IoT services, the company built ECOLAB3D: an intelligent cloud platform that unifies diverse and dispersed IoT data to visualize and optimize water systems remotely. By providing actionable insights for real-time optimization across multiple assets and sites, Ecolab partners with global leaders such as Microsoft to collectively\u00a0drive hundreds of millions in operational savings \u2014 while conserving more than 226 billion gallons of water annually; equivalent to the drinking water needs of nearly 800 million people<\/strong>. Delivering solutions across diverse industries, Ecolab is also a trusted partner for foodservice locations, helping balance labor costs with customer satisfaction. Its cloud-based platform Ecolab RushReady transforms data into an AI-enabled dashboard that improves daily operations by delivering actionable insights. In an Ecolab customer case study, this\u00a0helped<\/strong>\u00a0improve speed of service and sales labor per hour, resulting in increased profit of more than 10%<\/strong>. From data centers to dining rooms, Ecolab delivers intelligent, scalable solutions that transform operations for greater efficiency and measurable impact.<\/p>\n Leveraging Microsoft\u2019s AI solutions across its portfolio,\u00a0Epic<\/strong>\u00a0built agentic \u201cpersonas\u201d to support care teams and patients, improve operations and financial performance and advance the practice of medicine. By summarizing patient records and automatically drafting clinical notes, one organization found that \u201cArt\u201d\u00a0decreased after-hours documentation for clinicians by 60%, reduced burnout by 82% and helped them focus more on patient care<\/strong>. Care teams can\u00a0also\u00a0track long-term patient health and better plan treatment for chronic conditions,\u00a0while\u00a0nurses can perform wound image analysis automatically with\u00a072% greater precision than manual methods<\/strong>. At one hospital, AI\u00a0review of routine chest\u00a0X-rays\u00a0led to earlier\u00a0discovery\u00a0of\u00a0over 100 cases of lung cancer, increasing the detection rate to\u00a070%\u00a0compared to the\u00a027% national average<\/strong>. To support back-end operations, organizations are using \u201cPenny\u201d to improve the revenue cycle \u2014 resulting in\u00a0$3.4 million in additional revenue<\/strong>\u00a0at one regional network services provider. Epic also developed \u201cEmmie\u201d to have conversational interactions with patients and more easily help them schedule appointments and ask questions. Epic is leveraging Microsoft Fabric for the Cosmos platform to bring together anonymized data from more than 300 million patients, including 13 million with rare diseases, so physicians can connect with peers who have treated similar cases to\u00a0improve\u00a0rare disease diagnosis\u00a0and select the most effective treatment<\/strong>.<\/p>\n To reduce professional burnout and accelerate scale across the industry,\u00a0Harvey<\/strong>\u00a0built an AI platform to automate legal research, contract\u00a0reviews\u00a0and document analysis. Harvey Assistant\u00a0assists\u00a0attorney searches\u00a0across large document sets to\u00a0identify\u00a0specific clauses or provisions within seconds instead of hours<\/strong>. To support large-scale analysis, Harvey Vault\u00a0manages\u00a0and analyzes\u00a0up to 100,000 files per project<\/strong>\u00a0for complex tasks like litigation, while Harvey Workflows automates routine\u00a0yet critical\u00a0tasks into smaller AI-managed steps. With the integration of the newly expanded Microsoft Word add-in, AI capabilities\u00a0provide\u00a0legal teams\u00a0with the ability to\u00a0edit 100-plus\u00a0page documents with a single query<\/strong>, enabling centrally controlled document compliance reviews that\u00a0enhance efficiency while reducing risk<\/strong>. With more than 74,000 legal professionals using the platform, Harvey is helping them streamline workflows, reduce administrative burden and combat attorney fatigue \u2014 with the\u00a0average user saving\u00a0up to 25 hours\u00a0of\u00a0time\u00a0per month<\/strong>.<\/p>\n To revolutionize drug discovery, biotech company\u00a0Insilico\u00a0Medicine<\/strong>\u00a0is\u00a0leveraging\u00a0AI across its entire development pipeline\u00a0\u2014\u00a0from target identification to molecule design and clinical trials. The company created Pharma.AI to accelerate research while reducing costs and improving success rates in emerging novel therapies\u00a0\u2014\u00a0with\u00a0developmental candidate<\/strong>\u00a0timelines reduced from 2.5-4.5 years to 9-18 months for<\/strong>\u00a0more than\u00a020\u00a0therapeutic programs<\/strong>. The integrated AI platforms built with Azure AI Foundry manage complex biological data,\u00a0identify\u00a0disease-relevant targets and advance candidates to clinical trials\u00a0\u2014\u00a0accelerating\u00a0research in\u00a0what is\u00a0traditionally\u00a0a\u00a0slow,\u00a0costly\u00a0and complex pharmaceutical R&D process.\u00a0They\u00a0enable\u00a0researchers to analyze genetic data and identify drug targets with AI-generated reports to facilitate business case development; use physics-based models to evaluate candidates for potency, safety and synthesizability; integrate with specialized large language models for drug discovery; and combine AI agents with structured workflows to\u00a0reduce document drafting time by over 85% while improving first-pass quality of scientific documents by 60%<\/strong>.<\/p>\n To enhance manufacturing operations in a fast-paced and complex industry, global consumer foods producer\u00a0Kraft Heinz<\/strong>\u00a0partnered with Microsoft to embed\u00a0AI\u00a0and machine learning across its production facilities, resulting in smarter decision-making and operational improvements. The company built an AI-powered platform\u00a0\u2014\u00a0Plant Chat\u00a0\u2014\u00a0providing\u00a0real-time insights on the factory floor and reducing downtime to enable faster, more confident decision-making with proactive guidance.\u00a0The solution\u00a0analyzes over 300 variables and allows operators to interact via natural language to\u00a0improve consistency, reduce guesswork, decrease waste and maintain compliance\u00a0<\/strong>\u2014\u00a0even for less experienced operators.\u00a0Since implementation and collectively with other initiatives, these efforts have resulted in a\u00a040% reduction in supply-chain waste, a 20% increase in sales forecast accuracy and a 6% product-yield improvement<\/strong>\u00a0across all North American manufacturing sites through the third quarter of 2024.\u00a0Combined with further operational improvements, this work has yielded\u00a0more than $1.1 billion in gross efficiencies<\/strong>\u00a0from 2023 through the third quarter of 2024.<\/p>\n To redefine work and scale intelligent automation globally, digital native\u00a0Manus AI<\/strong>\u00a0developed an advanced autonomous AI system designed to understand user intent and execute complex workflows independently across various domains. The solution leverages a multi-agent architecture through Microsoft Azure AI Foundry to deliver scalable, versatile task automation for millions of users worldwide. Its Wide Research capability deploys specialized sub-agents to rapidly perform large-scale, multi-dimensional research tasks;\u00a0saving\u00a0significant time\u00a0and delivering actionable insights to make complex analysis accessible and efficient for strategic decision-making<\/strong>. Manus AI can also build dynamic dashboards so organizations can visualize trends, anomalies and market insights in real-time;\u00a0driving\u00a0strategic planning with reliable, up-to-date information<\/strong>. The\u00a0multimodel\u00a0image editing and creation capabilities\u00a0also\u00a0allow users to\u00a0support brand consistency and enable marketers and product teams to\u00a0iterate\u00a0rapidly<\/strong>.<\/p>\n To advance automotive innovation, stabilize supply chain volatility, simplify production\u00a0complexity\u00a0and meet sustainability demands,\u00a0Mercedes-Benz<\/strong>\u00a0scaled AI\u00a0innovation\u00a0across its global\u00a0production network.\u00a0The MO360 data platform connects over 30 car plants worldwide to\u00a0the Microsoft\u00a0Cloud, enabling real-time data access,\u00a0global\u00a0optimization\u00a0and analytics. The Digital Factory Chatbot Ecosystem\u00a0uses\u00a0a\u00a0multi-agent system to empower employees with collaborative insights, and Paint Shop AI leverages machine learning simulations to\u00a0diagnose efficiency declines and reduce energy consumption of the buildings and machines \u2014 including 20% energy savings<\/strong>\u00a0in the Rastatt paint shop. Using NVIDIA Omniverse on Azure, Mercedes-Benz created large-scale factory digital twins for visualization, testing and optimization of production lines \u2014\u00a0enabling agile planning and continuous improvement<\/strong>. The MBUX Virtual Assistant embedded in over 3 million vehicles, powered by\u00a0Azure OpenAI<\/span>\u00a0and Bing Search, offers natural, conversational voice interactions and integrates Microsoft 365 Copilot with Teams directly into vehicles to\u00a0enable mobile workspaces<\/strong>.<\/p>\n U.S.\u00a0stock exchange and financial services technology company\u00a0Nasdaq<\/strong>\u00a0integrated AI capabilities into its Nasdaq\u00a0Boardvantage\u00a0platform to help corporate governance teams and\u00a0board members\u00a0save time, reduce information overload, improve\u00a0decision-making\u00a0and enhance board meeting preparation and governance workflows. The board management platform is used by leadership teams at over 4,000 organizations worldwide to centralize activities like meeting planning, agenda building, decision support, resolution approval,\u00a0voting\u00a0and signatures. Using Azure OpenAI\u00a0GPT-4o mini, the AI Summarization feature helps board secretaries\u00a0significantly reduce manual effort, saving hundreds of hours annually with accuracy between 91% to 97%<\/strong>. AI Meeting Minutes helps governance teams draft minutes by processing agendas, documents and notes while allowing for customization of length, tone and anonymization; accelerating post-meeting workflows and\u00a0saving\u00a0up to five hours per meeting<\/strong>.<\/p>\n As customers\u00a0seek\u00a0to use AI more to shop and search for products, luxury lifestyle company\u00a0Ralph Lauren<\/strong>\u00a0developed a personal, frictionless, inspirational and accessible solution to blend fashion with cutting-edge AI. Working with Microsoft, Ralph Lauren developed Ask Ralph: an AI-powered conversational tool providing styling tips and outfit recommendations from across the Polo Ralph Lauren brand. Powered by Azure OpenAI, the AI tool uses a natural language search engine to adapt dynamically to specific language inputs and interpret user intent to improve accuracy. It supports complex queries with exploratory or nuanced information needs with contextual understanding; and can discern tone, satisfaction and intent to refine recommendations. The tool also picks up on cues like location-based insights or event-driven needs. With Ask Ralph, customers can now\u00a0reimagine how they shop online<\/strong>\u00a0by\u00a0putting\u00a0the brand\u2019s unique and iconic take on style right into\u00a0their own hands.<\/p>\n Industrial automation\u00a0and digital transformation\u00a0expert\u00a0Rockwell Automation<\/strong>\u00a0is integrating AI and\u00a0advanced\u00a0analytics into its products to help manufacturers adapt\u00a0seamlessly\u00a0to market changes, reduce\u00a0risk\u00a0and develop agentic AI capabilities to support innovation and growth.\u00a0FactoryTalk\u00a0Design Studio\u2122\u00a0Copilot,\u00a0<\/strong>a cloud-based environment for programming, enables rapid updates to code for evolving production needs\u00a0\u2014\u00a0reducing complex coding tasks from days to minutes.\u00a0<\/strong>Rockwell\u2019s digital twin software, Emulate3D\u00ae,\u00a0<\/strong>creates\u00a0physics-based models for virtual testing of automation code\u00a0and AI,\u00a0reducing costly real-world errors and production risks while cutting\u00a0on-site commissioning times by 50%<\/strong>.\u202fWith the integration of NVIDIA Omniverse \u2014 a collaborative, large-scale digital twin platform \u2014 users can perform multi-user factory design and testing to facilitate cross-disciplinary collaboration, address industry challenges and unlock opportunities through digital simulation before real-world deployment.<\/p>\n