Employers aren’t successfully equipping their employees with the understanding, skills, and ethics to succeed in a world of AI. And it’s becoming a bottleneck that inhibits productivity and return on AI investment. We measure this with AIQ, Forrester’s artificial intelligence quotient, and we’ve got alarming new data pointing toward one conclusion: Employees lack sufficient AIQ to thrive in the era of AI. We’re helping dozens of clients survey thousands of employees to understand their current AIQ. But once armed with that data, how do you design an effective AI learning approach?Join James McQuivey, PhD, as he leads a discussion with J. P. Gownder and Katy Tynan based on their years of guiding clients through workforce technology and now AI readiness decisions, drawing from their newly updated research on AI learning that you can act on now.Key takeaways: Learn what AIQ is and how it can help you understand your employees’ AI readiness. Understand why training isn’t the same thing as learning, and how to promote the latter. Hear what dozens of peer companies are doing to design AI learning approaches. Learn what works (and what doesn’t) in learning program design.Get a shortlist of things you can do right now to improve AI readiness in your team.Target audience level: all levels

Join “Mr. Prediction” Mike Proulx, VP, Research Director, as he leads an exciting interactive discussion with Forrester’s experts and your peers examining the status of Forrester’s 2026 predictions for cybersecurity and risk. Key takeaways: See which predictions have come true or on track to come true, and the global factors triggering them. Uncover new insights into why some predictions haven’t or won’t come true in 2026 based on Forrester’s expert analysis. Prepare your team and organization for the second half of 2026 with a bonus prediction.Target audience level: all levels

Retail banks are moving fast on AI in 2026: Budgets are growing, roadmaps are packed, and internal momentum is real. Customer loyalty, however, is not — and the disconnect is becoming harder to ignore.This webinar examines the trends reshaping retail banking and explains how banks can move beyond automation theater to use AI to improve trust, loyalty, and long-term growth. Key takeaways: Learn why efficiency first AI strategies are failing. Discover how AI assistants are reshaping consumer expectations.Explore what consumers expect from AI powered banking.Learn where banks should focus next to rebuild trust, loyalty, and growth in 2026.Target audience level: all levels

From regulatory scrutiny to reputational damage and failed deployments, “reckless AI” is no longer a theoretical risk. In fact, leading organizations are proving that trusted AI is the foundation for scaling it successfully. Moderated through real-world scenarios, the session will examine how governance, accountability, and trust frameworks directly impact AI success. This conversation will be hosted by Enza Iannopollo, VP and principal analyst at Forrester, and will include open discussion with participants, so please bring your questions and experiences to share with the group. Questions for discussion:Based on your experience, what is the status of AI regulation around the world, and what do you expect to see next? Who owns AI governance and risk management in your organization today, and how is that responsibility structured? According to your experience, do you believe that AI governance alone is enough to build trustworthy AI? What else is needed? Peer discussions are available exclusively to Forrester Decisions VIP Leader and Leader license holders for their own participation.

What do store associates really think about emerging technologies, including AI? What daily challenges do they most want technology to solve? This webinar is built from direct associate survey feedback. Key takeaways: Discover where frontline teams struggle for insights, guidance, and efficiency.Understand how modern POS technology can remove friction, empower associates, and deliver faster, smarter, more connected in-store experiences.Target audience level: all levels

Agentic commerce doesn't mean the end of retail websites, but they’ll change. In this webinar, we introduce shopper intents and Forrester's opportunity assessment for answer engine selling and explain how they guide retailers' strategies for their owned sites and unowned experiences.Key takeaways: Discover how consumers' shopping intent dictates where they'll be in their shopping journey.Learn how to apply Forrester's Five Cs to understand whether answer engine selling is a smart strategy to prioritize.Understand how retail websites will have to change in the age of agentic commerce.Target audience level: all levels

Trials and proofs of concept (POCs) have become core revenue infrastructure — especially for AI offerings, where buyers expect hands-on validation before committing. This webinar explores how leading providers design and operationalize trials and POCs to accelerate time to value, improve conversion, and reduce friction across the customer lifecycle.Key takeaways: Why trials and POCs are now essential go-to-market motions for AI offeringsHow to decide when a trial is sufficient versus when a POC is requiredThe KPIs and signals that best predict conversion to paid adoptionWhere teams commonly lose alignment — and how to reduce frictionHow AI agents and copilots will change trial and POC expectationsTarget audience level: intermediate

Consumers in the US, UK, and Canada don’t yet want AI agents to make payments for them. Still, answer engines and major retailers are racing to build AI shopping agents capable of making purchases on consumers’ behalf. Meanwhile, the payments ecosystem is working to enable and secure these transactions.Key takeaways: Learn about consumer attitudes about AI agents making payments on their behalfUnderstand the point where consumers draw the line on AI agent payment autonomyTarget audience level: beginner and intermediate

This webinar introduces the concept of physical AI — a specialization of AI that perceives, reasons, and acts in the real world — and explores why it’s important and how it’s different from other AI concepts.Key takeaways: Understand what physical and embodied AI are and how they are related.Discover how physical AI depends on four broad capabilities: abilities to model and simulate the real world; abilities to perceive the real world; abilities to reason about the real world; abilities to act upon the real world.Learn that physical AI's capabilities are more significant than any one robot form factor.See examples of physical AI being used in the real world.Begin to explore ways that physical AI will affect your business.Target audience level: beginner and intermediate

While service responsibilities are comprehensively defined in the service scope description and obligations of most service outsourcing contracts, process responsibilities are often incomplete, totally missing, or defined after the fact. To improve coordination and outcomes, clarify the responsibilities for services and processes. This report gives you a framework to do that.