Generative AI
What is generative AI? Generative AI or genAI is defined as set of technologies and techniques that leverage very large corpuses of data, including large language models like GPT-3, to generate new content. Inputs for generative AI may be natural language prompts or other non-code and non-traditional inputs. It is sometimes referred to as AI-generated content or AIGC and can be used by a variety of roles and functions in the enterprise. GenAI includes large language models, generative adversarial networks, diffusion models, and variational autoencoders. It provides the ability to create shortcuts for onerous workflow tasks, speed up delivery times, and enhance employee productivity across multiple enterprise workflows. It increases the scale and speed of analysis and knowledge synthesis for various roles such as developers, marketers, and data scientists. In the short term, it will expand the breadth of human creative expression and drive innovation in product development, design, and content creation.
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Turn AEGIS Controls Into An Agentic AI Security Stack
Agentic AI creates control, technology, and purchasing problems. Security leaders need to know the controls that they must satisfy, the technologies that can satisfy them, where existing tools already provide coverage, and where a new investment actually fills a gap. Far too often, we see clients conducting that process in reverse order … trying to […]
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Your AI Strategy Already Made A Risk Decision. Have You?
How do you know when an AI use case is too risky to pursue? The answer has less to do with the technology itself and more to do with whether your organization has the governance, processes, and decision-making discipline needed to support it.
Scale Your AI Strategy To Maximize ROI
Unlock the blueprint for AI success. Discover how to align strategy, prioritize impactful use cases, and close the talent gap — everything you need to expedite ROI and achieve tangible success through AI.
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Content (Alone) Won’t Close Your AI Skills Gap
Over the last year, there has been a recurring theme in my client requests. Who makes the best AI upskilling content? What should I buy to upskill my workforce? What’s the fastest way to learn AI skills? At first, I responded by saying that the content market was evolving quickly, and I couldn’t give anyone […]
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Introducing AEGIS — The Guardrails That CISOs Need For The Agentic Enterprise
AI agents aren’t coming — they’re already here, and they’re not waiting for your security architecture to catch up. Learn how Forrester’s new AEGIS framework can help CISOs secure, govern, and manage AI agents and agentic infrastructure.
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Snowflake Summit 2026: The Race Has Shifted From Building AI To Operating It
The biggest takeaway from Snowflake Summit 2026 wasn’t another AI announcement; it was a fundamental shift in what enterprises should expect from a data platform for AI. The conversation has moved beyond building models and copilots to operationalizing agentic AI at scale. It requires more than AI infrastructure; it demands a lakehouse capable of delivering […]
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AI Agents Can’t Read Your Pricing, And It’s Becoming A Revenue Problem
As AI agents take on a larger role in B2B buying, pricing and packaging content must be designed for machine consumption as well as human decision-making. Vendors that fail to make commercial information agent-ready risk losing visibility, influence, and revenue.
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Agentic ERP Won’t Scale Until CIOs Control The Proof, The Price, And The Portability
Enterprise resource planning (ERP) vendors are rapidly packaging autonomous operations as the next “platform” mandate, but the real constraint on the rollout of autonomous operations will be enterprise control — whether technology leaders can verify agent actions, govern consumption, and preserve business meaning across a fragmented estate. And fragmentation is the ERP operating reality: According […]
Does Your Content Drive Revenue In An AI World?
Drowning in content metrics but can’t prove impact? Join us live to learn how to connect content performance to engagement, pipeline, and revenue — and get Forrester’s B2B AI-Agent-On-A-Page Template For Go-To-Market Teams.
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The Future Of AppSec May Be Autonomous, But The Present Is Surprisingly Practical
AI is no longer a future feature in application security; it is rapidly becoming a core part of how application security (AppSec) tools identify, prioritize, and remediate risk. Yet despite aggressive vendor investment, adoption remains constrained by trust concerns, questions about value, and uncertainty about pricing models. In our new report, The State Of Artificial […]
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Microsoft’s Project Perception Announcement And How To Implement It Right
Today, Microsoft announced Project Perception: a series of red, blue, and green team agents designed to be coordinated together in an agentic architecture to evaluate infrastructure and close gaps as close to autonomously as possible. The red team agents find potential paths to compromise, the blue team agents prioritize and evaluate them, and the green […]
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The Content Bottleneck Has Shifted: Why Enterprise AI Isn’t Enough
The constraint marketing leaders are running into is no longer about content generation. It’s scaling marketing without losing trust, quality, or control.
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Multimodal, Semantic, And Agentic Enterprise Data Consumption Is The Future
The core question that has consumed analytics and business intelligence leaders for years is, “What is the one best way for business users to consume data?” The answer has at times been reports, dashboards, or low-code GUI-based self-service analytics. The latest answer is generative AI-based natural language prompts. Maybe we have the question wrong. Perhaps […]
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Conversational Banking Won’t Scale Without Strong Foundations
Discover the data, architecture, and governance foundations that banks need to scale conversational banking safely and effectively.
Real-World Buyer Data To Hone Your GTM Strategy
Discover Forrester's Buyer Insights research, built on survey responses from nearly 18,000 global B2B buyers. Understand how buying preferences, decision criteria, and purchase drivers vary by industry, role, region, and more.
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An AI Security Facepalm: OpenAI’s Evaluation Became Hugging Face’s Incident
When an AI evaluation becomes a real-world security incident, leaders can no longer view model testing as a low-risk exercise. The OpenAI and Hugging Face incident reveals how agentic AI can cross trust boundaries, exploit vulnerabilities, and create business risk long before deployment.
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CIOs: Understand Runaway AI Token Spend Using Rate Volume Analysis
So you’ve blown through your AI budget. Join the club. Blaming token consumption may have worked once. But as the adage goes, “Fool me once, shame on you. Fool me twice … ” you know the rest. Token consumption is a combination of multiple factors and not conclusive on its own. Hence, you need a […]
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AI Cost Management: How Prepared Are You?
As AI adoption accelerates, many organizations are discovering that spending is rising faster than their ability to control it. Building the right cost management capabilities is becoming essential to scaling AI without sacrificing financial discipline.
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Stop Running Batting Practice In Sales: AI Role-Play Is The New Pitching Machine
Professional baseball evolved from batting practice to technology that simulates real game conditions. Sales training is now facing a similar inflection point. As AI role-play becomes more realistic, scalable, and effective, leading B2B organizations are rethinking how they build seller readiness and develop capabilities across their revenue teams.
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The Rise Of The “Claude Cowboy” In RevOps
The rise of the “Claude Cowboy” signals a fundamental shift. As AI democratizes analysis and automation, the value of the RevOps function moves from producing reports to interpreting signals, managing risk, and guiding better decisions.
How Tech Leaders Govern AI Outcomes At Scale
Watch this on-demand panel as Forrester analysts and our CTO share AI lessons, showing how leaders can move from managing systems to owning outcomes and building accountability as AI scales.
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Why Your AI Strategy Needs A DEXM Solution: Lessons From Nexthink’s Masters Of Experience
Last week at Nexthink’s Masters of Experience event in London, one theme came through clearly in every conversation I had with digital workplace leaders, IT practitioners, and experience innovators: The ways that organizations use digital employee experience management (DEXM) solutions are expanding. AI dominated the agenda — as expected. But the real story wasn’t about […]
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The Dawn Of The Accidental Developer
Recently, a colleague of mine was working on a mathematical model in Excel. He asked Copilot to solve a complex problem. The answer the spreadsheet produced wasn’t quite right. He asked Copilot what it did to figure out the answer. It started spitting out Python code. My colleague was not a developer. He had never […]
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Announcing The Forrester Wave™ On Extended Detection And Response Platforms: Platformization, AI, And … AI
Last week, Forrester released The Forrester Wave™: Extended Detection And Response Platforms, Q2 2026. This is the third iteration of the extended detection and response (XDR) Wave, with prior versions published in 2021 and 2024. This Wave differs significantly from the past, especially because of: The number of vendors. This year, only seven vendors were […]
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