Philip Miller

AI Strategist

Philip Miller serves as an AI Strategist at Progress. He oversees the messaging and strategy for data and AI-related initiatives. A passionate writer, Philip frequently contributes to blogs and lends a hand in presenting and moderating product and community webinars. He is dedicated to advocating for customers and aims to drive innovation and improvement within the Progress AI Platform. Outside of his professional life, Philip is a devoted father of two daughters, a dog enthusiast (with a mini dachshund) and a lifelong learner, always eager to discover something new.

Articles by the Author

Breaking Down Data Silos with a Platform for AI
Discover how Progress Data Platform can break down long-standing data silos, enabling enterprise-wide integration, real-time insights and smarter decision-making.
Democratizing AI: How MCP and A2A Protocols Break Down Barriers and Accelerate Integration
Discover how Model Context Protocol (MCP) and Agent-to-Agent (A2A) interoperability are transforming AI adoption by making powerful tools as intuitive and accessible as building with LEGO—no coding required.
Humans and Technology: AI, the Monkey Sphere and Ethical Innovation
Find out how Dunbar's Number relates to social relationships, social media and the responsible development of AI and future technologies.
Explaining Generative AI with LEGO, Death Stars and Numbers
What does generative AI have in common with a popular toy building block series? Read this post for an analogical breakdown and simplified analysis of this increasingly popular technology.
Philip Miller October 23, 2024
How Do We Develop & Democratize Ethical AI-Powered Applications?
Democratizing AI and addressing the ethical and governance challenges it presents promotes a more equitable landscape where the advantages of AI technologies are available to all.
AI as a Platform in the Enterprise: Catalyzing Data Transformation and Innovation
Adopting AI as a platform rather than an application offers enterprises a sustainable path to growth, efficiency and competitive advantage by changing their approach to data.
Philip Miller September 04, 2024
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