Blog
On June 2, 2026, security researchers published a paper about the creation of an AI work. The headline is as subtle as a fire alarm: This lab experiment of a worm is no longer just code that blindly crawls across your environment; it leverages AI models and can now reason, execute, and learn in complete […]
Blog
On May 28, we joined the research community at UserTesting’s Crafted event in Seattle. The energy was palpable, with passionate researchers and designers eager to evolve their craft responsibly and effectively in the age of AI. A clear takeaway of the event was that building fast doesn’t matter if you’re not building the right thing. As AI makes creation easier, decisions […]
Blog
So far in 2026, software development has already crossed a clear threshold. GenAI is no longer just helping developers to write code faster; it is reshaping how software is planned, built, tested, and delivered. Forrester’s recent report on The State Of Agentic Software Development, 2026 shows that TuringBots are now becoming agentic, not just AI […]
Blog
Learn how AI is transforming — not replacing — human-centered design, accelerating workflows, and helping teams deliver better customer experiences.
What are AI insights?
AI insights are the meaningful patterns and learnings generated by applying artificial intelligence to data. They help organizations uncover trends, predict outcomes, and make more informed decisions by turning large volumes of information into actionable business intelligence.
Why is an AI strategy critical for businesses today?
An AI strategy ensures that investments in data, models, and talent support business goals rather than isolated experiments. It helps organizations prioritize use cases, manage risk, and focus resources on initiatives that deliver measurable value and competitive advantage.
What challenges do organizations face when adopting artificial intelligence?
Organizations often face challenges with data quality, talent shortages, and integrating AI into existing systems and workflows. Governance, ethics, and trust are also major concerns. Successfully
adopting AI requires both technical capabilities and effective organizational change management.
How do companies measure AI adoption success?
Companies measure AI success by outcomes and adoption. Common metrics include time to value, ROI, model performance, and how widely AI tools are used across teams. Ongoing measurement ensures that AI initiatives deliver sustained impact, not just technical results.
How does Forrester help clients with AI insights and strategy?
Forrester helps leaders turn AI insights into decisions and action. Through research, frameworks, and advisory support, Forrester guides organizations in assessing maturity, selecting technology, aligning teams, and reducing risk to achieve real business outcomes from AI.
Blog
Join us in Singapore or Sydney to learn how to turn AI momentum into measurable advantage. Our AI Forums are geared toward technology, security, marketing, and customer experience leaders and teams.
Blog
Agentic AI is exposing a foundational gap in most enterprise data strategies: Data without meaning is unusable for autonomous systems. Agents don’t just retrieve data — they interpret, decide, and act. Without explicit context, they guess. And when agents guess, they get joins wrong, misinterpret metrics, and act on flawed assumptions. This is why ontologies, […]
Blog
At Red Hat Summit 2026, the company outlined its ambition to become the central control layer for hybrid AI environments spanning infrastructure, models, and agents. While the vision is increasingly supported by product direction, enterprises must critically assess how to turn it into practical architectures and measurable outcomes.
Blog
At its Canvas 26 conference, Miro claimed that it’s no longer in the whiteboard business. Instead, it wants to become the collaborative decision-making layer for the agentic enterprise. That’s bold and ambitious repositioning and, potentially, timely. As the cost of intelligence is plummeting, the amount of work organizations can generate is increasing significantly — you […]
Blog
In 2024, Forrester delved into the impact of genAI on smart manufacturing. But now agentic AI is also beginning to play a part in transforming asset-intensive industries. In May 2026, Anthropic announced the creation of a standalone enterprise AI services firm backed by Blackstone, Hellman & Friedman, Goldman Sachs, and other large asset managers — all […]
Blog
AI is compressing consumer discovery, decision-making, and service into fewer, faster, and increasingly invisible moments. Answer engines and AI agents now decide what customers see — or don’t. Long-standing assumptions about how brands (the first “B”), intermediaries (the middle “B”), and customers (the “C”) create value no longer apply. Rather than layer AI onto existing […]
Blog
Success with AI rests on having a workforce that’s equipped and excited to use it. Forrester’s recent experience launching an AI learning program offers some valuable lessons.
Blog
Freshworks’ latest announcements reflect a broader shift in service management AI from feature expansion to operational practicality. The real differentiator is no longer whether a vendor offers generative or agentic capabilities but whether those capabilities can be adopted quickly, grounded in strong context, and sustained within day-to-day service environments.
Blog
Zendesk Relate 2026 showed that agentic customer service depends on structured knowledge, new service engineering roles, and operational readiness for AI execution.
Blog
The Forrester Wave™: Document Mining And Analytics Platforms, Q2 2026 highlights a market that is broad, fragmented, and rapidly evolving — where success depends less on vendor selection alone and more on precise alignment to use cases, document types, and architectural choices. While innovation around agentic AI and LLMs is accelerating, most organizations are still […]
Blog
As automation takes on more interactions and even replaces certain supervisory functions, human work is shifting from handling requests to managing, training, and optimizing AI. The result: fewer traditional roles, but a greater need for higher-value skills.
Blog
Three weeks ago, the SAP API Policy v.4.2026a looked like a legal document with no enforcement infrastructure. After Sapphire 2026, it looks like a strategy with a product line attached. CIOs running SAP have three weeks until June 9 enforcement begins, and the destination the policy redirects you to is now fully visible. The policy […]
Blog
AI answer engines are creating a visibility vacuum, forcing a shift from traffic to regaining insight, accountability, and alignment.
Blog
Celonis just announced its intention to acquire Ikigai Labs, a San Francisco-based start-up focusing on AI-powered decision intelligence. Ikigai Labs specializes in software for complex forecasting scenarios based on large graphical models, working closely also with the Massachusetts Institute of Technology (MIT). This acquisition will bring together Celonis’ process intelligence graph technology with Ikigai Labs’ […]
Blog
Global AI adoption presents communication service providers (CSPs) with a rare opportunity to transform and unlock new growth. In my latest report, The Dawn Of AI-Powered Telcos, I examine how leading telecom operators are responding to current trends by entering the AI infrastructure race and becoming AI‑powered from the core. They’re achieving this by pushing […]
Blog
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. AI adoption is accelerating across retail banking, yet differentiation keeps slipping and relationships continue to thin. This isn’t because AI isn’t […]
