yndryl’s 2025 Readiness Report finds 54% of firms see ROI from AI, yet 62% remain stuck in pilot mode. Confidence is high, but tech debt, skill gaps, and cloud complexity slow progress. TheMarketAI Take: as MIT research shows 95% of AI pilots fail to scale, the issue may be structural — AI’s probabilistic nature limits consistency and makes enterprise scaling inherently difficult.

Iris Telehealth’s 2025 survey finds consumers cautiously open to AI in mental health crises: 49% would accept monitoring for faster detection, but 73% insist humans make the final call. TheMarketAI.com Take: AI can aid rapid detection, but hallucinations and false positives make human oversight essential. Trust and empathy must stay central as healthcare integrates AI.

A new article from Thinking Machines Labs may hint at where the record-setting startup is heading. The piece explores why LLMs remain nondeterministic even with temperature set to zero tracing the issue to floating-point math across multiple cores. With reports that 95% of AI pilots fail, Thinking Machines seems to be signaling that unpredictability is more than a quirk it’s a core obstacle to scaling AI reliably.

BigID has introduced a new Model Context Protocol (MCP) server capability to connect governed enterprise data directly to AI tools like Copilot, Gemini, and Claude. This update lets employees generate conversational reports and insights instantly, bypassing the need for specialized analysts or complex dashboards. The core problem BigID addresses is the data bottleneck most organizations face. Their MCP capability aims to solve this by enabling faster reporting, plain-languag

A new survey reveals a surge in AI adoption among life science researchers, but trust and verification remain key concerns.