Access the Recording: AI Fluency in Action
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Meet the Speakers
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Partner General Manager, Technical Strategy and Innovation @ Microsoft
Daniel Pickworth leads Microsoft’s Technology, Strategy & Innovation (TSI) organization for Customer Service & Support, where he brings together artificial intelligence, technology advancement, and transformation in people and processes to enhance how Microsoft supports customers worldwide. His work goes beyond integrating new technology—it’s about empowering delivery teams to drive the changes they need, collaborate across boundaries, and foster a culture of trust and learning. By combining innovation with continuous improvement, Daniel ensures that customer voices are heard and that Microsoft’s support continues to evolve to meet their needs—amplifying the value of their investments and driving lasting success.

Director of AI & Venture Ecosystems, Strategic Programs & Communities Team @ Microsoft
Taylor Black is a venture architect with 20+ years of experience in launching, nurturing, and scaling ventures across a diverse range of ecosystems: enterprise, deep tech, community-driven innovation, and social impact. In his role as Director of AI & Venture Ecosystems within the Strategic Programs and Communities team at Microsoft’s Office of the CTO, Taylor designs and leads cross-company initiatives that integrate innovation, product development, and community engagement to foster the next generation of groundbreaking technologies.

Founder and Principal Data Scientist @ DigitalHelix
Charles Davis is an award-winning data scientist, AI researcher, and technology leader with extensive experience developing and deploying AI-driven solutions for public health, decision analytics, and behavioral modeling. He is the founder of FutureHelix, an AI safety and compliance certification company providing third-party verification for AI models and professional certification for AI governance professionals, and serves as Principal Data Scientist at DigitalHelix, an AI consultancy. With deep expertise in machine learning, predictive analytics, and ethical AI, Davis focuses on bridging the gap between AI innovation and responsible deployment.