Aaron Katz,

Aaron Katz

VP, Research Director

Aaron is a vice president and research director of Forrester’s business insights research practice, leading a team of analysts focused on the following areas: data strategy, data management, data storytelling, enterprise content management, AI, ML, data science, business intelligence, text analytics, computer vision, customer insights, insights-driven business transformation, and consumer intelligence.

His team helps senior data, analytics, and insights leaders with strategic advice on how to maximize the value of enterprise data and content to drive business outcomes through technology platforms, organizational practices, and people strategies.

Research Coverage

Planned Research

What research can you expect from Forrester in the next 12 months? Updated biweekly, our publishing plan will keep you current with market and technology trends. Use the link below to download a list of our upcoming research.

Download Planned Research
September 2nd, 2026 3:00 PM - 3:40 PM Webinar

The Data Platform AI Readiness Tool

Generative and agentic AI initiatives are exposing a critical reality: Many enterprise data platforms were built for analytics, not for AI systems that need to reason, adapt, and act in real time. Join Forrester VP and principal analyst Noel Yuhanna for an interactive session on the Data Platform AI Readiness Tool, a practical assessment designed to help organizations evaluate whether their data platform is ready to support AI at scale. During this webinar, attendees will learn how to assess their capabilities across key areas including data foundations, architecture, AI data access, model lifecycle management, agentic AI, and governance. The session will demonstrate how to interpret assessment results, identify readiness gaps, and prioritize investments required to build a scalable, AI-ready data platform.Key takeaways: Assess your organization's readiness to support generative and agentic AI on its data platform.Evaluate capabilities across data foundations, architecture, AI data access, governance, and agentic AI.Target audience level: all levels