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Rather than imposing national mandates, states should oversee data center water use through standardized reporting, watershed-based reviews, and performance standards, according to a new policy report.
The first wave of AI built the infrastructure. The next will reward organizations that redesign business processes to unlock productivity, innovation, and competitive advantage.
As John Ternus prepares to lead Apple, the company has an opportunity to restore the bold product design that once distinguished its hardware and set the pace for the technology industry.
Enterprises are struggling to move AI beyond pilot projects as governance, skills gaps, workforce trust, and data challenges complicate large-scale deployment.
AI can identify threats and speed security analysis, but risk scoring alone cannot determine what software should be allowed to run. Effective prevention requires explainable, policy-driven controls.
Uare.ai founder Rob LoCascio believes the future of AI belongs to individuals who own models trained on their expertise, creating new opportunities for licensing, monetization, and enterprise use.
As AI infrastructure expands, modular data centers may offer a path to lower resource consumption and greater community acceptance.
Major telecom providers are launching a cybersecurity alliance to improve real-time threat sharing and strengthen defenses against escalating attacks on communications infrastructure.
Google I/O 2026 revealed a far more aggressive AI strategy than many expected. Rob Enderle explains what this could mean for the future of apps, work, and computing.
AI-generated legal hallucinations are increasingly leading to sanctions, delayed cases, and governance concerns as courts and law firms struggle to control unauthorized AI use and fabricated legal reasoning.
The economics of AI don’t always match expectations. High compute, infrastructure, and reliability costs mean human labor remains the more cost-effective option across many real-world tasks.
Apple’s leadership transition to John Ternus raises a critical question: will continuity preserve success or slow the company’s ability to innovate?
Adobe is targeting the AI control layer for customer experience, linking creative tools, data, and workflows as enterprises face scaling challenges.
Enterprise AI demand is rising, but most GPU capacity remains idle, exposing costly overbuying and inefficiencies.
