Philip Miller

Director of Product Marketing & AI Strategist

Progress Software

Bio Overview

 

Philip Miller is Director of Product Marketing and AI Strategist at Progress Software, where he helps shape the strategy, positioning and adoption of AI- and data-driven solutions. With more than 20 years of experience in the technology industry, he specializes in enterprise AI, data platforms, AI governance and digital transformation. Philip is a frequent contributor to Progress blogs, webinars and community programs, translating complex AI concepts into practical guidance that helps organizations build trusted, scalable AI initiatives.

At Progress, Philip leads product marketing efforts for Progress Data Platform and helps organizations move from AI experimentation to real-world business outcomes. His work focuses on AI strategy, data platforms, semantic technologies, retrieval-augmented generation (RAG), AI governance and enterprise-scale adoption. He collaborates across product, engineering, sales and partner teams to develop messaging, thought leadership and go-to-market strategies that help customers unlock value from their data while building AI systems that are accurate, trusted and governed.

Prior to his current leadership roles, Philip served as Senior Product Marketing Manager and Senior Customer Success Manager at Progress, where he worked closely with customers and partners to solve complex data challenges and maximize the value of MarkLogic and related technologies. His experience spans customer advocacy, product marketing, community building, webinar leadership and enterprise technology adoption. 

Philip is an active writer and speaker on topics including AI governance, enterprise AI, data management, semantic technologies and digital transformation. Through Progress blogs, webinars, podcasts and industry discussions, he helps business and technology leaders understand how to implement AI responsibly and effectively. Outside of work, he is a lifelong learner, father of two daughters and dog enthusiast.

Areas of Expertise

  • Enterprise AI Strategy
  • AI Governance & Responsible AI
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • Data Platforms & Data Management
  • Semantic Technologies & Knowledge Graphs
  • Product Marketing Strategy
  • Go-to-Market (GTM) Execution
  • Digital Transformation
  • Customer Advocacy & Community Building

Credentials & Publications

  • Director of Product Marketing, Progress Software
  • AI Strategist, Progress Software
  • More than 20 years of experience in the technology industry
  • Contributor to Progress blogs covering AI, governance, data platforms and enterprise technology topics
  • Presenter and contributor to webinars and community programs focused on AI and data technologies
  • Recognized as a top influencer in data management by Onalytica
  • Co-host/contributor to Progress podcast initiatives and thought leadership programs, including Friday AI with Phil

Connect with Me

 

Articles by the Author

3 Generative AI Use Cases to Start Your AI Transformation
Explore three generative AI use cases you can deploy quickly to drive value for your organization: smart content authoring, dynamic content publishing as well as enhanced search Q&A and chatbot applications.
Unpacking Retrieval Augmented Generation (RAG) and Generative AI
Learn how Retrieval Augmented Generation (RAG), a significant advancement in AI, offers businesses a powerful tool to enhance the accuracy, reliability and efficiency of their AI solutions.
Metadata Mastery: Empowering Business Leaders for Collaboration and Consistency
Progress Semaphore propels CIOs and data leaders into a future where metadata-driven insights are table stakes for effective transformations and enhanced collaboration.
LLMs, Large Numbers and Noisy Data: Why Bigger Isn’t Always Better in AI
As we feed more data into LLMs and AI technologies, the noise and data biases will interfere with the final output. Businesses should go deeper than bigger to get the most out of their enterprise data.
The Five Ws of AI and How They Power Business
Who, what, where, when and why are the five Ws of journalism, authoring and research. But they’re the same fundamental questions swirling about artificial intelligence (AI).
The Next Critical Step for AI: Eliminate Data Bias
Learn about data bias in AI, ways technology can help overcome it, why AI still needs humans, and how you can achieve transparency.
Prefooter Dots
Subscribe Icon

Latest Stories in Your Inbox

Subscribe to get all the news, info and tutorials you need to build better business apps and sites

Loading animation