Google DeepMind CEO Demis Hassabis on Tuesday reiterated his push for an AI industry self-regulation effort, led by the US government, that is particularly focused on artificial general intelligence (AGI) and national security. But it is precisely that focus on national security that may make the results of such an effort, assuming it happens, less…
Enterprises are facing two simultaneous challenges with AI: The risks associated with it are evolving faster than governance frameworks, while the business benefits are often difficult to measure. This is one of the key findings of The Value of AI, a study commissioned by SAP from Oxford Economics. Now in its second year, the study…
Gen AI spending is moving beyond the familiar software model of seats, licenses, and pilots. As AI shifts from copilots to embedded workflows and autonomous agents, one user request can trigger multiple model calls, retrieval steps, retries, orchestration layers, and infrastructure events. A tool that looks affordable in pilot may behave very differently once connected…
If you just read the headlines, it would seem as if AI is now writing all of the world’s code and powering every application businesses run on. That’s far from true. Just 4 of 33 AI pilots reach production, according to IDC Research — leaving legacy applications still fueling the wheels of commerce. This “silent…
When people hear the term artificial intelligence, they usually think of chatbots or data analysis. But at BMW’s Spartanburg plant in the US, AI is now getting hands, legs, and eyes. Under the term physical AI, the automaker is integrating the new humanoid AI robt Figure 03 into its production logistics. The move comes as…
Shadow IT has long been a major problem for IT leaders, but the biggest problem may be coming from the executive suite’s hunger for unsanctioned AI. Nearly two-thirds of senior decision-makers admit to using unapproved AI tools, compared to just 31% of lower-level employees, according to a survey by Microsoft solutions partner TrustedTech. The use…
If you spend enough time in Silicon Valley AI circles, you’ll hear the same message over and over again: AI needs context. The statement is broadly true. The problem is that “context” has become one of the least precise terms in the industry. Depending on who is using it, context can mean documents, dashboards, reports,…
A largely overlooked layer of the AI stack is emerging as a major driver of enterprise costs. New testing by AI consultancy Systima found that agent harnesses, the software that coordinates models, tools and workflows, can generate significant token overhead through their configuration alone, potentially inflating the cost of AI deployments as organizations scale agents…
Venture-backed firms are buying up the support, finance-ops and managed-services providers enterprises rely on and re-platforming them around AI agents — and the renewal that follows arrives priced per outcome, sold as your advantage. The acquisition-built structure and unproven stability create governance and continuity risks your vendor process isn’t sized for. Here’s how to keep…
A few weeks ago, a new hire at Aviator, fresh out of college, asked me a question I didn’t have a clean answer to. How do I become a senior engineer, or even a staff engineer? What should I learn, and how? It’s a fair question and a harder one to answer than it was…