The most dangerous AI failures aren't dramatic. They're invisible. With just 0.001% of poisoned data, a model can lose up to 30% of its accuracy. The drift happens gradually. The agent keeps running. Nobody gets an alert. By the time anyone notices...

A colleague made an observation recently that's been hard to shake: Perplexity already answers most IT support questions better than most software vendors' own support teams. So why bother building AI into your service desk at all? Rob Garmaise, VP ...

Last year at Info-Tech LIVE, Martin Bufi warned the audience that agentic AI was overhyped and underbuilt. Seventy percent of organizations had launched agent pilots. Ninety percent were failing to return ROI. The gap between ambition and readiness w...

Hans Eckman's Info-Tech LIVE keynote cuts through the hype and tells developers exactly what they need to do differently — starting today. AI coding tools were supposed to make developers faster, eliminate ambiguity, and reduce production defects....

If you've spent any time in IT circles over the past year, you've probably heard the number: 95% of enterprise AI pilots fail to deliver meaningful business impact. It's been cited in presentations, board meetings, and media coverage so often it's be...

Most agentic AI pilots succeed. Most agentic AI production deployments don't — at least not on the first try. That gap isn't a technology problem. The agents work. The problem is that organizations treat the move from pilot to production as a scalin...

There's a moment in Ravi Kumar's keynote at the Cognizant AI Forum 2026 that cuts through a lot of the noise around enterprise AI. He puts it simply: a trillion dollars has already been invested in AI infrastructure. Another six to seven trillion is ...

It was a busy week for AI agents. Most of the big moves came out of Microsoft Build 2026, but there were a few other stories worth your attention too. Here's what mattered. GitHub Copilot is now its own app — and agents are the reason why GitHub l...

Most developers know they shouldn't use production data in non-production environments. But knowing and doing are two different things — and the gap between them is getting more expensive. According to Nick Mathison, Senior Product Manager for Delph...

Your organization has probably rolled out a dozen AI tools in the last 18 months. Maybe more. But here's the honest question: do you actually know which ones are working? That's the problem Pendo tackled head-on in a recent webinar — and the answer ...

Snowflake's biggest user conference yet kicked off June 1 in San Francisco, and the company arrived with a full slate of product announcements aimed squarely at builders. Here's what matters most if you're writing code, managing data infrastructure, ...

Here's something that surprises most people: some of the boldest agentic AI deployments happening right now are in the most heavily regulated industries in the world. Banking. Healthcare. Insurance. These are sectors where compliance isn't optional,...

AI models have a confidence problem. They generate clean, authoritative output — even when the underlying reasoning is shaky. For developers, that's not just annoying. It costs time. Anthropic's latest release, Claude Opus 4.8, is built to address t...

Most organizations are asking the wrong question about agentic AI. They want to know which agents to build. The successful ones are asking something different: where do agents actually fit into how we work? That distinction matters more than most pe...

Enterprise AI has a production problem. Organizations can build agents in the lab. Getting them into production — governed, auditable, and scaling across departments — is another story. Kore.ai thinks it has a fix. The company today launched the Kor...

Java modernization is one of those tasks that sits in the backlog for years. Everyone knows it needs to happen. Nobody wants to be the team that breaks production by doing it. Blue Pearl, a South African IT consultancy, was in exactly that position....

For the past few years, enterprise AI has had a consistency problem. Organizations run pilots, see promising results, and then struggle to move those projects into production. The gap between "this works in a demo" and "this runs our business" has be...

A Fortune 100 organization got hit hard. Attackers used stolen credentials and native tools — no malware. They deleted thousands of endpoints and virtual clusters. Traditional defenses never fired. But the data layer? Untouched. That's the story Br...

Most Dev's Journey stories start with a first line of code. Mine starts somewhere different. I came from marketing. And somewhere along the way, I became a technology writer — not because I could build software, but because I was genuinely curious a...

For years, HYCU built its reputation on one core promise: protect your SaaS data, no matter where it lives. With coverage across more than 100 workloads — from GitHub and Jira to Salesforce, Okta, and Microsoft 365 — they became one of the most compr...