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As AI-generated content floods the web, future models are training on degraded data. The result is model collapse — and it's already affecting organizations. Key Takeaways Model collapse is a feedback loop where AI systems trained on other AI-generated content gradually lose accuracy and diversity over successive generations. The problem is now moving from theoretical to practical as AI-generated content increasingly dominates the web.

Discover six mistakes that kill enterprise AI before it reaches production — and what you should do differently. Key Takeaways Start AI rollouts with a single department that has clear pain points and three achievable use cases you can ship in 90 days. Ensure a named executive sponsor and identified internal builders are committed before signing any AI contract. Set up a central registry of AI agents early to prevent duplicate work.

Anthropic urges AI developers to prepare for slowing frontier development, even as it expands access to its advanced security tools through Project Glasswing. Key Takeaways Anthropic urges the AI industry to prepare for coordinated development slowdowns as models approach recursive self-improvement. Analysts say a global pause is essentially unenforceable because AI training happens on general-purpose hardware that's nearly impossible to monitor.

Returns are draining retail profits. Here’s how AI can help reduce fraud, improve decisions and keep customers loyal. Returns are a longstanding and fundamental aspect of a retailer’s business: Provide a frictionless experience and keep a loyal consumer happy. But, inflated labor costs and an increase in returns abuse are turning a customary process into a crisis.

The boardroom demos look impressive. But real-world voice communication is where AI either holds up — or falls apart. There is a pattern that repeats itself across the enterprise AI landscape. A new capability gets introduced. It performs beautifully in a controlled setting. Executives get excited. Pilots get greenlit. But then something unexpected happens when it meets the real world: It either slows down or behaves inconsistently when conditions are anything less than ideal.

Quantum computing is advancing steadily, but mass adoption isn't the goal. Analysts explain the niche breakthroughs enterprises should prepare for now. Generative AI’s arrival transformed the technology landscape almost overnight. The launch of ChatGPT in late 2022 turned a long-developing technology into a mainstream business priority, forcing organizations across industries to formulate new strategies and re-allocate budgets.

The warehouse vs. lake debate asks the wrong question. Research shows AI maturity — not vendor preference — should drive your storage architecture. I recently sat down with Bill Hostmann at Dresner Advisory Services to discuss where organizations should be storing their data, especially their data that powers AI. His answer, at its core, was "it depends" — but the nuance behind his answer should matter to data leaders.

New command center helps enterprises trust and scale AI with confidence, delivering real-time visibility and supporting continuous governance across every model, agent and application TEANECK, N.J., July 1, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) today announced Cognizant Neuro® AI Trust, a new platform designed to provide enterprises with continuous governance and real-time assurance across all AI systems.

Your AI model is getting more accurate. So why are business outcomes getting worse? The answer is a trap most enterprise teams don't see coming. Key Takeaways Better model scores do not guarantee better business outcomes. Enterprise AI often fails because organizations measure model performance while overlooking system performance. Reliability is not just model quality; it is the fit between model behavior, workflow design and business outcomes.

Sonnet 5 brings Opus-class autonomy to a mid-tier price, sharpening Anthropic's enterprise play against OpenAI and Google. Key Takeaways Sonnet 5 offers planning, reasoning and tool use upgrades. Sonnet 5’s pricing is significantly below comparable Opus-class models. Developers gain affordable advanced AI, with more safety measures enabled. Anthropic launched Claude Sonnet 5 on Tuesday, an AI model built for agentic tasks such as planning, tool use and autonomous operation.