AI adoption in the enterprise is way up — and so too are IT leaders, into the night, dealing with the risks and governance issues of AI use. To be sure, increasing attention to AI governance is a welcome addition to enterprise AI strategies, shifting an anything-goes approach toward risk-aware plans of action directed toward…
DetailsFor many years, Musinsa, South Korea’s premier online fashion platform and marketplace for Korean designer brands, streetwear, and beauty products, has described itself as a company dedicated to AI. They bring in AI-native talent and give employees room to experiment, yet meticulously manage token usage and work performance. And instead of handing over AI completed…
DetailsEnterprise software budgets haven’t shrunk this year, though we keep reading they have. Boardrooms are still approving spending on new tools at a consistent pace, and Gartner’s latest forecast puts global software spend at $1.43 trillion in 2026, up more than 15% year over year. What has changed is what buyers will tolerate to get…
DetailsMy team was already using AI when I joined the company a year ago, and I quickly spotted a bottleneck. We’d finish large product requirements documents that then sat in inboxes for a day or two before someone read them and handed the work to an agent. To cut the cycle time, I had the…
DetailsEven as they continue to release ever more capable competing models in a regular cadence, the top AI companies are joining forces to set AI safety standards. According to The Information, Google, OpenAI, and Anthropic are reportedly working together to create a body tentatively called the Standards Authority for Frontier AI (SAFA). It would operate…
DetailsAs AI becomes a core business capability, a new strategic imperative has emerged for CIOs: sovereign AI. The next phase of competitive advantage will belong to organizations that control their intelligence stack, including where data resides, how models are governed, and who owns the intellectual property they generate. The urgency is growing. In a recent global…
DetailsThe digital bedrock of the modern enterprise—the encryption that secures every financial transaction, medical record, and state secret—is approaching an expiration date. While the arrival of a cryptographically relevant quantum computer (CRQC) remains uncertain, the threat it poses is already present. For today’s CIO, post-quantum cryptography (PQC) is no longer a futuristic research project; it…
DetailsFor decades, the metric for success in the C-suite of research institutions and enterprise data centers was simple: raw CPU clock speed. In the supercomputing landscape, solving the world’s most complex problems—weather forecasting, aerodynamic modeling, or seismic analysis—means stringing together thousands of traditional processors. However, we have entered a new era. The CPU-only approach has…
DetailsIt’s 2 a.m. The change window is open. The plan was reviewed and the change review board signed off. And still, everyone on the call is holding their breath because nobody actually knows what will happen next. That feeling isn’t paranoia. It’s the accurate read of an industry that has spent decades changing production networks with no…
DetailsTeradata is adding a context engine, an execution layer, and reusable agent skills to Tera, its AI-powered workspace for enterprise data and AI tasks, in order to make agentic execution of multistep workflows more efficient. Tera was initially introduced in May as part of Teradata’s Autonomous Knowledge Platform. The new additions are designed to cut…
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