AI Trust Starts Before Production AI-infused applications are moving into production faster than most enterprises can prove that they are safe, reliable, explainable, or even useful. This gap is now one of the biggest barriers to scaling AI. Our report, Trustworthy AI Starts With Testing And Evals, Not Deployment, makes a simple but urgent call […]

After years of vendors heralding the arrival of fine-tuned models to save enterprises from the latency, unpredictable costs, and strenuous upgrade lifecycles of cloud-based model APIs, the moment for fine-tuned models has finally arrived. While frontier models are massive, general-purpose, and must be run from cloud servers, fine-tuned models (mostly composed of post-trained open-weight models) […]

Every era of enterprise technology has added a defining layer to the stack. Mainframes gave us the system of record. Client/server gave us applications. The web gave us services and APIs. Cloud gave us elastic infrastructure. Now agentic AI is adding the next layer. Where the application layer executed instructions, the agent layer intercepts business […]

Join Forrester experts and your peers for an interactive presentation that will dive deeper into our report, “The Architect's Guide To Agentic AI.”Key takeaways: Discover how enterprise demand is outpacing architectural readiness.Understand the eight pillars of agentic architecture. Learn that governance, testing, and orchestration must evolve to operate at scale.Target audience level: intermediate and advanced

AI-infused applications (AIIAs) are moving into production faster than enterprises’ ability to test their behavior. Traditional testing remains essential but cannot fully validate nondeterministic model outputs, retrieval quality, tool use, agent trajectories, safety, bias, drift, or governance controls. Tech leaders need a continuous AIIA testing loop that combines classical testing, AI evals, red teaming, human review, risk-based release gates, and production telemetry. This report introduces Forrester’s unified framework for testing AIIAs and shows how teams can align testing depth with business risk, build reusable eval assets, and make trustworthy AI a product-delivery discipline.

The Forrester Wave™: AI Platforms, Q3 2026 has just published, and if you’ve read previous evaluations in this category, prepare to recalibrate. Agentic AI has redrawn the boundaries of what an AI platform is, what it must do, and the vendors that compete to provide it. The 15 vendors evaluated represent one of the most […]

In our evaluation of AI platform providers, we identified the most significant ones and researched, analyzed, and scored them. This report shows how each provider measures up and helps you select the right one for your needs.

The world’s most advanced AI companies just learned a lesson that enterprises have understood for decades: Technology doesn’t create value — solutions do. Our 2024 Forrester Wave™ covering AI foundation models for language evaluated the models themselves, but raw capability predicts little about enterprise success. The vendors know this, too. Anthropic and OpenAI launched billion-dollar […]

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 artificial intelligence.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

As commerce vendors embed genAI assistants into their platforms, digital leaders must balance productivity gains against growing governance risks to ensure that AI-generated work remains visible, auditable, explainable, and aligned with organizational policies.