Fern Halper brings a research-driven, pragmatic perspective to the rapidly changing world of data and AI.
As an industry analyst, author, former data scientist, and executive advisor, Fern speaks about what it actually takes to make AI work in the enterprise—from building trusted data foundations and governing AI to agentic AI, human oversight, and the redesign of work.
She has spoken at industry conferences, executive events, webinars, and corporate programs and is a frequent guest on podcasts and other media. Her presentations draw on industry research and real-world examples to help audiences separate AI hype from what organizations need to do next.
Speaking Topics
Making AI Work: From Experimentation to Enterprise Value
Why successful AI requires more than models and tools—and the leadership, data, governance, and organizational foundations that turn experimentation into value.
Building the Data Foundation for AI
What AI-ready data really means, including data quality, architecture, semantics, metadata, governance, and trust.
Agentic AI: What Changes When AI Can Act
How agents are changing enterprise AI, including data requirements, governance, human oversight, autonomy, and accountability.
Governing Data and AI in a Changing AI Landscape
How organizations can evolve governance for generative and agentic AI, diverse data, bias, explainability, privacy, and responsible AI.
AI, Human Oversight, and the Redesign of Work
How organizations can think beyond productivity to redesign roles, workflows, decision rights, and human-agent collaboration.
Interested in having Fern speak?
contact her at fhalper@aifoundationsgroup.com