It’s been an incredible five months since OpenAI’s release of ChatGPT in November 2022. In collaboration with OpenAI, Microsoft is leading the generative AI wave, first with the announcement of Azure OpenAI Service and Bing Chat, and more recently with the announcements of AI-powered copilots for use across our entire platform of solutions, including Microsoft 365, Dynamics 365, GitHub, and Security.
In the financial services industry, there has been greatly heightened interest in AI and the transformative opportunities of this new wave of breakthroughs. With the industry’s focus on managing risk and generating returns, generative AI has the potential to drive marked improvements in employee productivity, operational efficiency, and customer experience. In my current conversations with customers and partners, I’m asked how Microsoft can help businesses and organizations get started on the journey. This is especially true in banking, where technology is playing an increasingly decisive role in addressing a broad range of financial, regulatory, and competitive challenges. Generative AI has added a whole new dimension to what we mean by intelligent banking and the possibilities it creates to unlock greater innovation and business value at an accelerated pace.
Learn how the financial services industry is innovating and transforming.
As generative AI capabilities become available to everyone, banks and other institutions will want to build intelligent solutions to provide revolutionary new capabilitiesfirst with their employees and, over time, for their customers. Microsoft will help enable this with Microsoft 365 Copilot, which we announced last month. Integrated across Microsoft 365, this copilot will provide generative AI capabilities to the entire Microsoft productivity suite.
For banks that want to rapidly apply intelligence to improve operations and drive efficiencies, they can deploy Azure OpenAI Service to accelerate the deployment of their use cases. Azure OpenAI Service provides the OpenAI foundational large language models (LLMs), some of which can be fine-tuned to specific needs for a variety of use cases. Critically for banks, it is deployed on their Azure tenants so that all dataincluding training data and contentstays within the bounds of their organizations. By being fully integrated into Azure, banks also get all the advantages of enterprise-grade security and role-based access included. You also get the benefit of building on the Microsoft Cloud platform where we are infusing AI into all our products, making it easier to integrate these new capabilities into your applications. And it’s only getting better, as we recently announced the availability of GPT-4 in a preview release. GPT-4 is OpenAI’s most advanced LLM, enabling you to drive insights with greater accuracy than previous LLMs developed by OpenAI.
Azure OpenAI Service lets you deploy large, pre-trained, foundational models developed by OpenAI while also enabling you to train them on your data. This means you can potentially transform important tasks such as:
As we engage with our customers, we are seeing powerful new use cases emerge. For any scenario, we believe human agency and supervision are critical to ensure that generative AI is empowering and enabling human creativity. In our own products, we enable this through our copilots. The copilot is there to support you and work under your direction, with the human in charge. For example, GitHub Copilot provides code suggestions for developers as they enter code right inside the developer environment. In other situations, a chat-based experience will be a better fit when you are looking to embed knowledge search capabilities or a search bar to accept a prompt to generate some new content. Key banking use cases where generative AI can have the greatest impact include:
As next-generation AI innovation gains momentum, we are optimistic about what it can do for people, industry, and society. Microsoft’s advancements in AI are grounded in our company mission to help every person and organization on the planet to achieve more. We’re committed to making the promise of AI realand doing it responsibly. Our approach to AI is based on three principles: meaningful innovation, empowering people and organizations, and responsibility.
Accordingly, we’re dedicated to the responsible development of AI systems for the industry, ensuring they will function as intended and be used in ways that earn trust. We were one of the first major technology companies to call for thoughtful government regulation on facial recognition technology and are committed to creating responsible AI by design through our Responsible AI standard. For more information, see “What is Microsoft’s Approach to AI?“.
Empowering our customers with intelligent banking capabilities is core to our mission, and we are excited to bring generative AI innovations to them through our Azure OpenAI Service and our copilot offerings. Additionally, we will work with our industry partners to enable them to take advantage of these same capabilities in their own solutions. I look forward to seeing what our customers and partners will create with generative AI in partnership with us. Together, we can apply the world’s most advanced AI models to meet business imperatives responsibly, securely, and with the confidence that can only be achieved with Microsoft Cloud.
Stay tuned for upcoming blog posts that will explore the possibilities of generative AI in the insurance and capital markets segments along with more guidance on responsible AI. We’re excited to help the financial services industry embrace this new era of AI and accelerate transformation.
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Source: Microsoft Industry Blog