AI agents promise to automate work, make decisions and transform business operations, but giving machines more autonomy also creates new risks.
Microsoft Build 2026 demonstrates how data, AI, and ERP are converging as enterprises build the infrastructure and operational foundations for autonomous operations.
Tokenmaxxing appears to be on its way out as companies struggle with overspending on AI tokens. Now spend needs to be justified with clear outcomes.
Nvidia’s Vera CPU shifts control of the AI server stack, threatening Intel and AMD’s data center margins as system integration and Arm architecture gain ground.
Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without exposes private data to the cloud.
As AI reshapes decision-making, leaders must balance data-driven insights with human judgment. Why and action steps to take included.
Cadence and Nvidia have teamed to present the first example of Level 5 AI EDA agent to automate the work of design verification, turning a months-long effort into 1 day.
Many companies are using AI to automate tasks, cut costs and speed up existing workflows, but that approach risks missing the much bigger opportunity.
AI driven demand for HDD capacity will exceed shipping non-AI demand by 2030. This will be driven mostly by increased HDD capacities rather than shipping more HDDs.
If every company suddenly had infinite free compute, what new products would emerge?