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

LinkedIn: https://www.linkedin.com/in/philipdavidmiller/

X: https://x.com/PhilipMillerBD

Articles by the Author

A magnifying glass with connected colored dots

Deep Research Demands More Than Fast Answers

Deep research is iterative, not transactional. AI must preserve context, reasoning and evidence across long-running investigations to be useful in R&D and turn isolated insights into institutional advantage. Trust is the gating factor here—when outputs can’t be traced, reviewed or defended, AI stalls at the pilot stage and never reaches production. It's production-ready AI that compounds research value.

Data & AI Progress Data Platform

Philip Miller January 15, 2026

Researcher looking at samples with a microscope

Researchers Need Boring AI That Finds What Matters

R&D doesn’t lack data—it lacks signal. AI-driven knowledge discovery only works when answers are grounded in trusted, contextual enterprise data, not probabilistic guesswork. Most AI tools break trust before they create value. Treating research data like generic internet content strips away context, provenance and scientific rigor. Boring, reliable AI wins in 2026. Knowledge discovery that is governed, explainable and embedded into real R&D workflows is what turns AI from pilots into lasting outcomes.

Data & AI Progress Data Platform

Philip Miller January 09, 2026

Woman using tablet with AI icons on screen

The 6 AI Trends That Will Actually Matter in 2026

If 2023–2024 were the years of pilots and prototypes, 2025–2026 will be about orchestration, governance and scale. The signal across serious researchers is consistent: adoption is widespread and business impact concentrates where companies redesign workflows, measure outcomes and hard-wire trust and controls into the stack. McKinsey reports that ~80% of companies use generative AI (GenAI), yet most still aren’t seeing material earnings contribution, because scaling practices and operating models lag the hype. This gap is a roadmap that can be leveraged by Frontier Firms and individuals looking for an advantage (or many) in today’s AI-powered world.

Agentic RAG Data & AI

Philip Miller December 03, 2025

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.

Corticon Data & AI DataDirect MarkLogic OpenEdge Semaphore

Philip Miller July 29, 2025

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.

Data & AI DataDirect MarkLogic Semaphore

Philip Miller July 18, 2025