Desh Unplugged
Hello, I’m Desh. I founded iBridge over 20 years ago, and in that time our global team has built a track record I’m proud of: turning messy, complex information into results our clients can act on. We’ve helped customers outpace their competition and adapt fast when their markets shift underneath them. I’d love to talk through what’s on your plate right now. If you’re wrestling with a business-critical issue, trying to map out where the complexity is coming from, tighten operational control, or get a clearer read on what’s happening in your data—let’s put 30 minutes on the calendar. I’ll walk through what I’m seeing and where I think you can find the leverage you need.
On August 2, 2026, the EU AI Act’s high-risk obligations became fully enforceable. Organizations running AI systems in employment decisions, credit scoring, insurance underwriting, and other regulated domains are now legally required to prove, not just claim, that those systems are documented, monitored, and subject to human oversight. If you operate using AI in the […]
The AI governance conversation usually runs on hypotheticals. A menagerie of projected risk, theoretical exposure, and “what could go wrong.” The legal industry doesn’t have that luxury anymore. It has a body count. Court sanctions for AI-generated fake citations have now topped 1,031 cases globally, and the pace is accelerating: 30 to 50 new cases […]
Two years ago, California struck a deal to save employers from themselves, or so the press releases said. AB 2288 and SB 92 were sold as a truce: tiered penalties, cure processes, an end to the free-for-all. The reform didn’t fail; it succeeded at something other than what the press releases promised. The sales pitch […]
Introduction In my opinion, we’re asking the wrong questions about AI governance. Most organizations are investing significant time and resources in governing AI models, approving tools, and strengthening security controls. Those are important foundations, but they don’t address where every AI-assisted decision truly begins, with human intent. Before AI generates an answer, someone has already […]
Most organizations declare victory on document digitization when their AI reaches 90% accuracy. They shouldn’t. The real story and the real risk lives in the 10% that automation cannot confidently handle. And in my experience, that’s exactly where organizations stop asking the hard questions. AI-powered extraction, OCR, and intelligent document processing have advanced significantly, delivering […]
In my opinion, the benchmark most organizations use to measure AI success is the same one they use to justify headcount reductions: how few people does it need? The assumption underneath that question is that human review is a temporary inconvenience, a stopgap until technology matures enough to work without us. In government, defense, and […]
In my opinion, the AI industry is focused on the wrong problem. Most conversations revolve around accuracy rates, processing speed, and model performance. Those things matter, but they are rarely what determines success in government and defense environments. In my experience, the real bottleneck is trust. Organizations do not struggle because AI cannot extract information. […]
In my opinion, many people are looking at California’s proposed PAGA regulations through a legal lens when they should be looking at them through a data lens. The discussion has focused on cure rights, filing requirements, and procedural changes. Those are important, but they are not what will determine how successfully employers respond. In my […]
Introduction For years, organizations have viewed AI governance as a data problem. In my opinion, that is no longer true. Data governance remains important, but it is no longer the biggest challenge. As AI becomes part of everyday business decisions, the real question is no longer how information is protected. It is how decisions are […]
