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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AI Is Reshaping How Consumers Seek Financial Guidance
As consumers turn to AI for personal finance, trust becomes the key differentiator of financial guidance.
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CIOs: XaaS Doesn’t Mean You Need Bigger Budgets
Global tech spend grew 30% from $4.0 trillion in 2020 to $5.2 trillion in 2025. Yet data from Information Services Group (ISG) indicates that spend per user was flat. In fact, the global spend per user benchmark from ISG fluctuated between $15,000 and $16,000 each year from 2020 and 2025. This suggests to CIOs that […]
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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People Make The AI Reinvention Engine Work
A conversation with David Walker, former chief technology officer of Westpac and technology leader at DBS AI models may increasingly provide the intelligence for how your workflows run, but people determine where AI is applied, which work should change, how risks should be assessed and prioritized, and how value will be measured. Those aren’t entirely […]
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The Boring Truth About AI
Everyone and their grandmother is talking about AI, and it’s just not interesting anymore. Let’s face it, once a technology topic becomes kitchen-table conversation fodder, tech pros grow weary of discussing it. Yet every vendor has a “game-changing” solution you should buy, every staffing firm has highly trained AI specialists, and your neighborhood barista can […]
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AI Can Rewrite Code, But It Cannot Recover Intent
For decades, critical applications have accumulated business rules, integrations, workarounds, and dependencies faster than organizations could document them. Documentation is incomplete, the original developers have moved on, and application specialists are retiring — taking their with critical institutional knowledge with them. The result is a business problem disguised as a technology challenge. Modernization teams encounter […]
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Intent Is The New Epicenter Of Agentic Security
Cybersecurity spent decades trying to stop things from happening, identifying them, and then investigating what happened. Agentic AI challenges us with a much more difficult question: What was the system trying to do? Agents don’t just execute instructions. They interpret objectives, select tools, access data, cross systems, and change tactics. In most cases, a user […]
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Does Your “Agent Governance” End Up Governing Everything But The Agent Itself?
Most enterprises govern the systems around AI agents, not the agents themselves. They control credentials, log tool calls, and route high-risk actions to a human approver. These are useful controls, but they were designed for software that follows instructions. Agents reason at runtime, and that reasoning can turn compliant actions into a noncompliant outcome that […]
Surface Your B2B Brand In AI Results
Answer engines are shaping vendor evaluation earlier in B2B buying. Learn how to gain visibility in AI-generated recommendations, build credibility, and attract higher-intent buyers through AI-powered discovery.
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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.
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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 […]
What Makes AI Recommend One Brand Over Another?
Answer engines are reshaping the ways consumers discover brands. Learn how to increase the likelihood that AI-powered search mentions, cites, and recommends your brand before shoppers ever visit your site.
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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 […]
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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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Move Beyond Content Metrics To Business Impact
Buyer journeys span websites, communities, social channels, and AI answer engines. Watch the webinar to learn how to identify the content that shapes preferences and contributes to revenue outcomes.
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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.
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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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