AI is driving a wave of innovation, transforming the potential of organizations in every industry. It is reinventing customer engagement, ensuring every connection adds value to customer relationships, enriching employee experiences to be more creative, and reshaping business processes with automated and 360-degree views of a company’s operations.
The Microsoft Industry Clouds deliver the most comprehensive development platform, tools, and solutions to enable our customers and partners to take advantage of AI, driving high-value scenarios for their businesses. Over the last six months, we have delivered Microsoft Copilot across GitHub, Azure Security, Microsoft Dynamics 365, Microsoft Power Platform, and Microsoft 365 for each business role in an organization that people can use today. At Microsoft Ignite 2023, from November 15 to 16, 2023, you’ll hear from many of our partners who are building copilots and other solutions on Azure AI to drive innovation across industries and help our customers achieve more.
Our global partner ecosystem plays an invaluable role in bringing this AI potential to life for our customers. Independent software vendors and system integrator partners bring deep domain expertise to build unique, industry-specific AI solutions on the Microsoft Cloud that add tremendous value to customers, while meeting the security, compliance, and regulatory needs of each industry.
Here is a small sample of the hundreds of partners accelerating innovation with AI in financial services, healthcare, agriculture, manufacturing, retail, sustainability, public sector, education, telecommunications (telco), nonprofit, energy, and line of business partners.
LSEG’s (London Stock Exchange Group) leading financial markets data intelligence and analytics ecosystem is being integrated with Microsoft Fabric, enabling customers to discover and analyze trusted data faster than ever before to create differentiated insights. This ecosystem will offer a joined-up data experience for customers through seamless interoperability with LSEG Workspace, simplifying and automating workflows enabled by Copilot and Python-based analytics within Microsoft Teams and Excel.
At Microsoft Ignite, Microsoft is showcasing Meeting Prep for financial services, an example of the kind of work we are doing with partners such as LSEG to create value from their data using large language models and generative AI. This solution will automatically generate meeting preparation summaries combining insights from LSEG’s financial data with news, documents, emails, chats, and other relevant content from Microsoft Graph in Microsoft 365.
Video 1. Meeting Prep for financial services: Application Concept for Microsoft Teams.
Teladoc Health is offering improved care management leveraging the Azure data platform and building a copilot on Microsoft Teams with Microsoft Azure OpenAI Service. Teladoc is using Azure OpenAI to personalize the “recommended for you” section of its Chronic Care Management weekly newsletter for three specific segments based on acuity and activity. This is to increase the engagement of the program and improve member health outcomes. They are exploring the option of a co-pilot for member engagement through counselors.
Epic and Microsoft have an ongoing strategic collaboration to develop and integrate generative AI into healthcare that can enhance patient care, increase clinician efficiency, and improve the financial integrity of health systems globally. DAX Copilot and Azure OpenAI integrations address many current issues affecting clinicians, including drafting message responses automatically, enabling natural language queries and interactive data analysis, producing clinical summarization, and providing ambient clinical documentation.
Embedding DAX Copilot directly into existing Epic workflows can reduce the cognitive burden on clinicians, helping them focus on the patient as summarization notes are drafted for them through ambient listening. There are more than 50 Epic customers and thousands of clinicians signed up to use DAX Copilot in their workflows, and this integration will be widely available for increased adoption early next year.
By using Azure OpenAI, Epic can also deliver generative AI exploration for users through Epic SlicerDicer to fill gaps in clinical evidence using real-world data and to study rare disease and more. Revenue cycle management is another area where generative AI will drive meaningful improved efficiency, providing coding staff with suggestions based on clinical documentation in Epic’s electronic health record (EHR) software. Additionally, Epic is working to aid campaign generation by incorporating generative AI into the Epic Cheers application. This will assist organizations on producing outreach programs to create a personalized experience for patients, nurture current relationships, and reach a wider patient population in a more efficient manner.
Bayer’s vision, “Health for All, Hunger for None,” drives its commitment to using cutting-edge technologies that can bring new value to customers. In its early stages, Bayer is presenting an agriculture copilot and testing multiple scenarios with internal teams to discover where large language model capabilities can add value through the ability to interact with agronomic data using natural language. These capabilities are powered by Microsoft’s generative AI and Microsoft Azure Data Manager for Agriculture.
Video 2. Bayer leverages Azure Data Manager for Agriculture large language model APIs to bring actionable insights to farm data.
Learn about the latest updates to Azure Data Manager for Agriculture and how Microsoft is expanding support for Bayer’s Climate FieldView as a built-in data source, providing users with tools to leverage autosync planting, application, and harvest activity files from FieldView accounts.
Teamcenter and Microsoft Teams—driving industrial productivity with generative AI
Siemens introduced Industrial Copilot, an AI-powered assistant that will enable users to rapidly generate, optimize, and debug complex automation code, and significantly shorten simulation times. Siemens is putting the power of product lifecycle management software into the palm of every employee’s hand with the release later this year of the Teamcenter application for Microsoft Teams. With this application, problem reports can be created in Teamcenter using a smartphone to take pictures and interpret spoken descriptions. That helps to close feedback loops and solve problems faster, all without sacrificing quality or reliability.
Sight Machine has introduced Factory CoPilot, that integrates Sight Machine’s Manufacturing Data Platform with Azure OpenAI. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (such as for daily meetings) and generate user-friendly reports, emails, charts, and other content (in any language) about the performance of any machine, line, or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform.
Sitecore OrderCloud powers custom ecommerce experiences and order management for some of the world’s most well-known brands. Sitecore OrderCloud is redefining the data hosting and online shopping experience by structuring their solution on the Microsoft platform. The Sitecore solution enables faster time to market with enhanced solutions layers providing ready-to-access capabilities utilizing Azure OpenAI.
AiFi, the largest provider of autonomous shopping solutions, is built on Microsoft Cloud technologies and works seamlessly with Microsoft Cloud for Retail. Their solution is enabling retailers like Żabka Group and Choice Market, among others, to offer consumers an autonomous shopping experience with frictionless check-out. The companion Microsoft smart store analytics app is helping retailers gain detailed insights into customer behavior and patterns, allowing them to be more informed and data-driven about store operations and merchandizing decisions. Together, AiFi and Microsoft, through AI technology deployed at the edge and cloud respectively, are helping retailers bridge the gap with ecommerce when it comes to a frictionless shopping experience and optimizing it using actionable analytics.
Video 3. Choice Market illustrates the next wave of convenience using smart store analytics.
Ekimetrics has developed a solution based on Azure OpenAI to automate the data collection process and enhance supplier experience. Typically, enterprises are requiring their supplier to complete lengthy questionnaires to capture environmental, social, and governance (ESG) data. Due to the high administrative efforts, they are struggling to get these completed and thus the ability to reduce ESG impact. The solution from Ekimetrics automates the creation of a supplier-relevant questionnaire and the extraction of the relevant answers from common documents. The output is a summary of suppliers’ response and prefill of a regulatory report, including comparisons with previous years.
Video 4. Ekimetrics’ future solution for accurate sustainability data collection is more efficient for companies.
Axon is a technology leader in global public safety with a mission to protect life, preserve the truth, and accelerate justice. Since 2017, Axon has been pioneering the design and development of generative AI technology into their products built on top of Microsoft Cloud infrastructure. A few of Axon’s AI innovations include Redaction Assistant, which automates the process of sharing video footage while safeguarding privacy, and Auto-Transcribe, which extracts the audio from body camera to accelerate the process of report writing and evidence search. Axon has also introduced Automated License Plate Recognition in their Fleet3 in-car camera systems, ensuring swift and accurate detection. These initiatives are geared towards streamlining and enhancing the efficiency of public safety operations, allowing responders to focus on the primary task at hand. They persist in advancing their innovation pipeline by developing new AI-enabled applications that not only save time for their customers but also uphold the principles of ethics and fairness.
PowerSchool uses Azure OpenAI Service to personalize learning
PowerSchool is using Azure OpenAI to inform and deliver personalized learning pathways for individual students based on their learning goals within a secure platform. Educators are able to quickly create assessment items and formative assessments aligned to a desired grade level, subject, and learning objective or standard. They can then use intuitive reporting to track student progress thanks to the results of these standards-aligned assessment items created by generative AI.
Anthology uses Azure OpenAI Service to empower instructors
Anthology is empowering instructors to spend more time with students and less time managing content with the AI Design Assistant in their flagship learning management system, Blackboard Learn. They’ve leveraged Azure OpenAI to streamline the course building process and give instructors a head start on creating engaging courses with recommended titles and descriptions, rubrics, questions, and images.
Amdocs has launched its amAIz Platform to enable communication service providers to accelerate their journey into the generative AI era. Using amAIz, cloud solution providers can benefit from a growing set of out-of-the-box generative AI use cases integrated across different Amdocs applications such as Billing, Catalog, and CPQ (configure, price, quote) to save costs and streamline operations, as well as develop their own use cases on top of the platform. Aligned with the Amdocs and Microsoft collaboration, amAIz provides telco verticalization of the Microsoft capabilities in the Customer Engagement Platform, advancing generative AI use cases across the industry.
Nokia is transforming network security operations by leveraging AI to analyze large volumes of data in real-time to recognize subtle patterns and anomalies that are often missed, improving accuracy, and speeding up detection. Nokia’s flexible software as a service-based, telco-centric extended detection and response solution, NetGuard Cybersecurity Dome, uses AI and machine learning algorithms to analyze and identify potential security threats, enabling real-time detection and response.
threshold.world has created b.world, the world’s first AI-powered impact measurement and storytelling app for nonprofit and social impact program teams. By unifying program design, impact measurement, project management, and digital storytelling in a single, easy-to-use app, b.world increases capacity to engage communities and drive stakeholders to action. It is based on industry best practice program design and impact measurement, and provides a common data model for nonprofit program operations at scale. See it in action by signing up for a free trial at b.world.
Submittable, powered by Microsoft Azure and Azure OpenAI, will release a new-to-market set of tools to further the mission of AI for good and improve the application process for grant givers and seekers. These tools include: an AI-powered service that will autofill grant applications based on an applicant’s own prior answers, saving valuable time to focus on critical work; an AI bot that can both create grant application forms and translate them into multiple languages, ensuring best practice adherence for funders while also extending opportunities across language barriers; and an AI-supported tool that extracts information from official documents into Submittable, creating a simpler experience for applicants and reviewers as well as reducing the potential for human error and fraud.
KADME has enabled a turnkey large language model workflow for ingesting and extracting insights from domain-specific energy documents. With Fabriq, the large language model orchestration platform, domain experts in upstream energy operations can ask domain-specific questions and retrieve multilingual tailored responses powered by these insights. Links to trusted source documents are provided with each response, with support for private repositories such as SharePoint or Microsoft Azure Data Manager for Energy.
In addition to industry solutions, our partners are also building line of business solutions leveraging AI to transform horizontal business processes to further support vertical solutions.
Seismic is the launch partner with Microsoft Sales Copilot and provides content recommendations, collaboration, task automation, and engagement intelligence for Microsoft Sales Copilot users across the meeting experience to help drive deals and relationships forward and making sellers more productive. As the first step in this journey, Seismic for Microsoft Sales Copilot will add AI-powered recommendations and summaries for virtual meetings, the key vehicle for modern sales teams to engage with prospects and customers.
How generative AI can help you avoid costly contract mistakes
Icertis is leveraging advanced Azure capabilities, including Azure OpenAI, to transform contracts into structured data that companies can analyze and leverage at scale. For example, the newly released Icertis Contract Intelligence Copilots allow companies to harness the power of generative AI to conversationally query contract language about risks and opportunities hidden in commercial agreements. The copilots offer users pre-defined prompts, which can be tailored to a company and its industry, to quickly surface insights relevant to their vertical.
ServiceNow recently introduced the Generative AI Controller that allows organizations to easily connect ServiceNow to Azure OpenAI. It includes built‑in actions so customers can quickly and easily integrate popular generative AI capabilities—like answering questions, summarizing content, and content generation—into custom apps and workflows.
Typeface.ai has launched a new Typeface app for Microsoft Teams that uses the powerful combination of Microsoft Azure Machine Learning, Azure OpenAI, and Typeface’s brand-personalized AI to create content significantly faster than ever before. This enables companies to scale marketing efforts and produce a range of assets such as creative briefs, email campaigns, multimedia online ads, and more.
These examples highlight how partners are building copilots and developing custom solutions with Azure AI for every industry.
These solutions also showcase how the key AI patterns like natural language Q&A, summarization, and search are driving this unique moment of transformation for our customers, enabling them to improve employee productivity, enhance customer experience, and increase operational efficiency. You can learn more about these partner solutions and others at Azure Marketplace and Microsoft AppSource.
We’re excited to have you join us at Microsoft Ignite 2023 from November 15 to 16, 2023. Here are some key sessions that will give you an even deeper view into the innovations we are delivering with our partners and the latest updates to our Industry Cloud solutions.
Breakout sessions
Learn how organizations are investing to optimize operations by extracting insights from information technology, operational technology, and engineering technology data with cloud-to-edge technologies, democratizing data access for better decision-making with copilots, and empowering frontline workers with enhanced mixed reality applications.
Learn how expanded functionality in Microsoft Cloud for Sustainability, including AI, water, and waste data capabilities, can help address new and emerging reporting regulations like the Corporate Sustainability Reporting Directive—enabling organizations to provide transparency into their ESG sustainability progress.
Learn how Microsoft Cloud for Sovereignty can help customers meet their digital sovereignty and compliance requirements and still gain the benefits of the public cloud.
On demand sessions
There’s a lot to take in at Microsoft Ignite 2023! Be sure to also check out the on-demand discussion sessions or go to Microsoft Industry Clouds to learn more.
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Source: Microsoft Industry Blog