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.

Insights

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Salesforce’s New AgentExchange Store: Easier AI Helpers, But Still Inside Their Walled Garden

Faram Medhora 4 hours ago
Salesforce’s re-imagined marketplace makes buying AI and applications inside Salesforce dramatically easier and makes leaving Salesforce later even harder. Salesforce has merged three separate “stores” for apps and AI tools into a single marketplace called AgentExchange. It is live now with roughly 13,000+ ready-made apps, AI agents, and automation components. The stated goal is simple: […]
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Beyond Chatbots: Designing Conversational Banking Experiences That Scale

Aurelie L'Hostis 7 hours ago
Learn how banks can scale conversational experiences at CX Summit EMEA 2026
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Introducing Forrester’s AI Model Openness Framework

Mike Gualtieri 3 days ago
Forrester’s Model Openness Framework can help you assess the real degree of openness in any AI model, whether it’s labeled open source or commercial, across three key dimensions: reproducibility, usage rights, and community momentum.
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AI Search Will Crack The Foundation Of B2B Marketing’s Accountability Model

Ross Graber 5 days ago
B2B marketers have long relied on engagement metrics to demonstrate marketing’s value. AI is making this practice untenable.
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Project Glasswing: The 10 Consequences Nobody’s Writing About Yet

Jeff Pollard April 10, 2026
Anthropic’s Project Glasswing and Claude Mythos Preview prove that autonomous zero-day discovery now operates at scale. We evaluate the immediate, medium-term, and structural consequences for security teams, vendors, insurers, regulators, and future careers.
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CISOs Have Plenty Of Work To Do In An AI-Driven Future

Amy DeMartine April 9, 2026
As AI becomes more embedded in fundamental business processes, organizations can no longer settle for “secure enough.” Learn how AI is redefining the CISO role — and actions that they can take today.
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Most Content Doesn’t Build Credibility: Let’s Fix That

Lisa Gately April 7, 2026
The gap between what buyers need and what content delivers is becoming more consequential. Learn how leading teams build credible, proof-based content in an AI-driven buying environment.
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Beware The Magical Two-Person, $1 Billion AI-Driven Startup

J.P. Gownder April 6, 2026
Recent news stories are a reminder to evaluate AI "miracles" with a dose of healthy skepticism.
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AI Is Forcing A Rethink Of Application Architecture — And That’s A Good Thing

David Mooter April 3, 2026
For years, solution architects have worked to modernize application landscapes: decomposing monoliths, exposing business capabilities through APIs, and embracing event-driven design. That work isn’t changing. But the rapid infusion of AI into application architecture fundamentally changes how solution architects orchestrate and design applications. In my latest report, Rearchitecting Applications For The Age Of AI, I […]
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Beyond The Wave: What Customers Really Think About Autonomous Testing Platforms

Diego Lo Giudice April 3, 2026
We spoke with 37 enterprise customers using autonomous testing platform tools. The findings, published in our new report, “Buyer’s Guide: Autonomous Testing Platforms, Q1 2026,” reveal a nuanced picture: real progress, tempered by uneven adoption and evolving expectations.
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The CDO Role Has Changed — And So Has What “Good” Looks Like

Kim Herrington April 2, 2026
The chief data officer role has matured. Today’s CDO must drive decisions, trust, and organizational change — not just deliver insights.
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KubeCon Europe 2026: The Not-So-Unseen Engine Behind AI Innovation?

Brent Ellis April 1, 2026
At KubeCon Europe 2026, Kubernetes’ AI story shifted from “add support” to “rebuild the platform.” AI conformance, upstream GPU orchestration, shared inference blueprints, and in-platform governance are setting the new defaults.

Stop Losing B2B Buyers Before They Ever Reach Your Site

Watch this on-demand webinar to learn how AI search, answer engines, and answer engine optimization (AEO) are rewriting B2B buyer journeys — and get plays to protect your pipeline, boost visibility, and earn trust.

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CMOs’ “AI Creative Leap”: From Making Ads To Designing Meaning

Keith Johnston April 1, 2026
As AI absorbs execution at scale, creativity returns to its highest value. The brands that win will automate production while doubling down on insight, narrative, and the judgment that protects meaning.
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RSAC 2026: An AI Coming-Of-Age Story Without The Romance

James Plouffe March 31, 2026
RSAC Conference 2026 has come and gone. Gone, too, are the petting zoos of yesteryear, replaced this year by — of all things — pop-up tattoo parlors. Or as one attendee observed, “We’ve traded livestock for live needles.” This year’s attendance of over 43,500 was flat compared to 2025, but the sessions and exhibit floor […]
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The Flowchart Is Dead — Long Live The Flowchart

Leslie Joseph March 30, 2026
About a year ago, a few of my Forrester colleagues and I coined a joke term for the dominant pattern vendors were passing off as “agentic.” The term was “agentish,” and it described workflows that were largely comprised of deterministic, flowchart-driven processes with LLM-based components embedded in them. The “agents” in agentish systems had little […]
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Please Test Your AI Agents — Like, At All

William McKeon-White March 27, 2026
Recent, public AI agent and bot failures have exposed the hazards of forgoing testing. Here’s what you should do before rolling out your own agents.
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Is AI Visibility Your 2026 Imperative? Learn How To Achieve It At B2B Summit

John Buten March 25, 2026
As B2B buyer research shifts to AI-powered answer engines, a new "visibility vacuum" is emerging. At B2B Summit North America, you'll learn how to overcome it.

Your Buyers Use AI Search — Here’s How To Stay Visible

Ninety-four percent of B2B buyers now use AI in purchasing, making traditional SEO outdated. Discover how answer engine optimization (AEO) can help your content stand out in a zero-click, AI-driven world.

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Oracle Embraces AI At JavaOne

Andrew Cornwall March 25, 2026
If you couldn’t make it to NVIDIA GTC this year, you could still find plenty of AI at JavaOne. About 400 people attended the keynote in person, with more online. That keynote was called “Java for an AI World.” Oracle thinks Java is a great programming language for AI, and it claims its strength over […]
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Agent Control Planes Still Need A Robust Standards Stack

Leslie Joseph March 20, 2026
This post is a follow-up to my earlier announcement of our coverage of the agent control planes market. Research questionnaires for the landscape report will formally go out in the second week of April 2026. We are in the “dial-up internet” phase of the agentic era. The architecture is emerging faster than the standards needed […]
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Think About The Agentic Shift With Your Next Customer Service Solution

Kate Leggett March 18, 2026
There is so much excitement about how AI is changing customer service operations. What was once a reactive, cost-heavy, and manual function is turning into a proactive function that drives revenue growth. C-level executives and board members are more than curious. They are leaning heavily into the ROI potential of AI in customer service technology. […]
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