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Moving Beyond Experimental Pilots: What It Actually Takes to Get Value from GenAI
If your organization has run a GenAI pilot that never quite made it to production, you're not alone. Despite $30–40 billion in enterprise investment,…
The Emerging Patient Risks Among Decentralized Healthcare
Healthcare is continually becoming decentralized. In the past, care almost exclusively occurred in hospitals and clinics. Today, we’re increasingly…
The New Standard for Enterprise Software in the AI Era
The $300 billion market wipeout in February 2026 wasn't a panic. It was a verdict.
When Anthropic dropped Claude Cowork, investors didn't sell SaaS…
Why AI Systems Require New Reliability Models
Discussions around AI reliability have largely centered on models: how to make them more accurate, how to minimize hallucinations, how to compare…
AI uncertainty is reshaping software dealmaking and capital allocation
AI is changing how businesses compete. It’s boosting insight, lowering costs, and expanding what software can do. Yet it also adds uncertainty to…
The Agentic AI Governance Gap Is Bigger Than Most Think. Here Are Six Ways Business Leaders Can…
Autonomous, agentic AI is entering enterprises faster than the guardrails needed to govern it, creating a widening risk gap. The imbalance is clear…
The Top AI Supply Chain Security Vendors of 2026
As organizations move generative AI from pilot projects into production, securing the AI software supply chain has become a practical enterprise…
Enterprise software is bought by people who never use it (that’s the problem)
A VP of Supply Chain approves the budget. A driver picks up the app for the first time with 40 stops and a two-hour window closing fast. The person…
AI ROI Is Bigger Than Efficiency
AI has entered a more demanding phase in the enterprise. Enthusiasm and experimentation alone isn’t enough anymore; leaders must show measurable…
Eliminating Manual Data Entry: How Automation Empowers Care Teams And Improves Outcomes
The US healthcare system continues to deal with escalating costs; fragmented data; inconsistent patient outcomes; and inefficiencies across care…