{"id":108393,"date":"2023-06-06T08:00:00","date_gmt":"2023-06-06T15:00:00","guid":{"rendered":""},"modified":"2023-09-11T08:37:48","modified_gmt":"2023-09-11T15:37:48","slug":"the-era-of-generative-ai-driving-transformation-in-insurance","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/financial-services\/2023\/06\/06\/the-era-of-generative-ai-driving-transformation-in-insurance\/","title":{"rendered":"The era of generative AI: Driving transformation in insurance"},"content":{"rendered":"\n

Insurance companies deliver critical products and services that underpin economies, give customers assurance as they pursue their dreams, and keep businesses and families running when disaster strikes\u2014all while delivering value to their shareholders.  <\/p>\n\n\n\n

Every insurer is keenly attuned to addressing the challenges the industry has faced in recent years\u2014economic uncertainty and industry-specific concerns around climate change and geopolitical upheaval, to name but a few. Another challenge is technology, which holds the promise of either competitive differentiation (winning) when done well, or the threat of market loss or disintermediation (losing) when done poorly. There\u2019s no middle ground.  <\/p>\n\n\n\n

All this was true before 2023. Then, the world shifted. With the arrival of ChatGPT and generative AI, the power of AI became more accessible to everyone. For Microsoft, this will drive an evolution of our vision for intelligent insurance<\/a>. For insurance companies\u2014with their data-centric product focus, to their vast ecosystems of digital-savvy agents and customers\u2014it is simply a red-hot opportunity.  <\/p>\n\n\n\n

Microsoft and generative AI: Creating new possibilities <\/h2>\n\n\n\n

We are seeing an unprecedented level of interest in AI technology that we\u2019re seeing now around generative AI, which I generally define as a system for generating text, images, or code in response to user input or prompts, drawing on vast sets of data. Our customers are asking: What can it do for us now? What are the best use cases? How do we get started? <\/p>\n\n\n\n

The first thing we tell them is that generative AI is close at hand. For companies that want to build their own generative AI solutions, Microsoft Azure OpenAI Service<\/a> brings together advanced models from OpenAI, including ChatGPT and GPT-4, with the enterprise capabilities of Azure. Critically for insurers, all data uploaded\u2014including training data and content\u2014is isolated within your Azure subscription so it stays within the bounds of your organizations. By being fully integrated into Azure, insurers also get all the advantages of enterprise-grade security and role-based access included. And it\u2019s only getting better, as we recently announced the availability of GPT-4 in a preview release. GPT-4 is OpenAI\u2019s most advanced large language model, enabling you to drive insights with greater accuracy than previous large language models developed by OpenAI. <\/p>\n\n\n\n

This is in addition to the fact that AI is already being integrated into the\u202fMicrosoft Cloud<\/a> and in the Microsoft products that customers already use and love. We recently announced Microsoft 365 Copilot<\/a>, which integrates amazing new generative AI capabilities across the Microsoft productivity suite, and this is complemented by copilots for Bing Search<\/a>, Microsoft Dynamics 365<\/a>, Viva Sales<\/a>, and GitHub<\/a>. <\/p>\n\n\n\n

That\u2019s a ton of innovation\u2014so much that it may seem overwhelming. Let me offer some insights into what we see as the most important capabilities for insurers and how those will play out in use cases.  <\/p>\n\n\n\n

Here are the top three generative AI capabilities that we expect will quickly take hold among insurance companies and deliver differentiating benefits:  <\/p>\n\n\n\n

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  1. Content creation and summarization.<\/strong> Generative AI will be widely used within organizations to generate things like proposals, reports, presentations, and summarizing internal meetings and customer conversations.<\/li>\n\n\n\n
  2. Semantic search.<\/strong> Using natural language and context, searching will become smarter and faster, and will be continuously trained as you interact with your customers.<\/li>\n\n\n\n
  3. Code generation.<\/strong> With copilot capabilities for generating sophisticated code, developers will spend less time writing lines of code and more time designing new statistical models and mathematical tools for actuarial challenges.<\/li>\n<\/ol>\n\n\n\n

    Generative AI use cases insurers will love <\/h2>\n\n\n\n

    With these capabilities, we can enable some compelling scenarios. The following use cases can empower and drive productivity across the organization: <\/p>\n\n\n\n