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Matt Musgrave is a Principal Product Manager Lead at Microsoft, specializing in Azure AI. With a strong focus on generative AI and Large Language Models (LLMs), he plays a pivotal role in shaping the strategy and development of Microsoft's AI platform services, including Azure OpenAI Service. Matt is dedicated to empowering developers and organizations by making advanced AI technologies more accessible and enabling them to build next-generation AI-powered applications. His work contributes significantly to integrating cutting-edge AI, like the models behind Copilot, into scalable cloud solutions for a global audience.
Matt Musgrave's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Plays a key leadership role in the product management and strategy for Azure OpenAI Service, driving its adoption and evolution to meet enterprise needs for generative AI.
Spearheads initiatives to integrate and scale state-of-the-art generative AI capabilities within the Microsoft Azure platform, making sophisticated AI tools accessible to a broader range of developers and businesses.
Contributed to significant product innovations that simplify the development and deployment of AI-powered applications, focusing on user experience and enabling new use cases for LLMs.
Frequently presents at major industry conferences (e.g., Microsoft Build) and technical events, sharing insights on Azure AI, generative AI trends, and best practices for building with LLMs.
University of Central Oklahoma - Year 2003
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Simpli.fi is an advertising technology company that provides a leading platform for programmatic advertising and workflow solutions. They empower advertisers and agencies to execute highly targeted and localized digital advertising campaigns across various channels, including display, mobile, video, and connected TV (CTV). By leveraging unstructured data, Simpli.fi enables precise audience targeting at scale, aiming to improve campaign performance, transparency, and efficiency for its users.
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