InfoWorld

For CIOs and CDOs heading into Microsoft Fabric and SQL Community Conference Europe , the main question is not which data technology sits at the center. It is whether the data platform improves revenue, productivity, and decision speed while creating a trusted foundation for AI at scale. That should drive the data strategy. Enterprise AI is forcing companies to tackle a familiar problem, with dat…

Before the rise of all-in-one frontier models, artificial intelligence and machine learning libraries tended to focus on highly specialized jobs. Even today this is still a powerful and useful approach: the more specialized the tool, the better the job it will do for its narrowly defined purpose. One category for such tooling is computer vision : real-time analysis of video or still images. Facia…

Postgres just turned 30. Over those three decades, I’ve watched it pick up hot standby replication, logical replication, asynchronous IO, just-in-time compilation, and dozens of other features built for enterprise workloads. Every one of them solved a real problem and raised the floor on what a DBA needs to know just to do the job well. I don’t think most people outside this world fully register …

Anthropic has owned up to a fourth security incident involving its AI model, Claude, escaping onto the open internet and attacking other organizations during a test of cybersecurity abilities on what was believed to be a closed system. The company revealed three such incidents in July after a preliminary investigation. However, on reexamining the 141,000 chat transcripts it believed could have be…

OpenAI on Wednesday introduced a new Agents API that brings the agent harness and infrastructure behind Codex to developers, potentially giving enterprises a way to build custom AI agents while removing much of the orchestration and infrastructure management traditionally required to make such agents work. That reduction in engineering complexity is possible because the Agents API is a managed se…

For 15 years, public cloud providers have defined the industry for most enterprises: on-demand, automatically metered services delivered over the open internet that give developers immediate access to storage, databases, compute, application development platforms, and AI capabilities. That model remains dominant because it is simple, well-instrumented, and universally supported. Yet an adjacent r…

When I talk to people about agents interacting with websites, the conversation almost always starts with perception: how does an agent “see” a page? Is it screenshots or the DOM or the accessibility tree? In my previous InfoWorld article, “Accessibility is the first-class interface for AI agents” , I argued that the accessibility tree is becoming an increasingly important interface between websit…

Every AI feature you’re building is based on a price that isn’t real. Current AI services are heavily subsidized as model providers seek to expand their market share , and subsidies inevitably end. Just think back to the early days of Lyft and Uber, when a single ride often cost less than taking public transit. As the costs associated with building on cheap AI infrastructure slowly start to refle…

Frontend teams have become pretty good at monitoring what happens after an application reaches production. We track JavaScript errors, API failures, latency and Core Web Vitals. When something changes after a release, these signals help us determine whether the application is healthy. But there is one gap I think frontend teams often overlook. An application can look completely healthy in those d…

Databricks on Wednesday introduced Adaptive Instructed-Retriever, a new retrieval model designed to improve enterprise AI search by taking additional steps for complex queries while stopping early on simpler ones in order to help its customers balance answer quality, latency, and cost. The new model builds on research behind Databricks’ earlier Instructed-Retriever-1 but takes a different approac…

We spent the last decade building entire finops departments just to decipher what the cloud bill was saying. Just when we figured out how to stop leaving idle compute instances running, generative AI introduced an infinitely more opaque, faster-moving layer of spend. AI bill shock has spread like a slow moving hurricane across the industry. Aside from the spike in large language model (LLM) costs…

I guess I’m a Go developer now. My first programming language was BASIC. My seventh-grade math teacher, Mr. Schulte, taught BASIC to us on Fridays. He gave us programming assignments for homework during the week. Some of us loved it so much we stayed after school to play games and create extra programs, including our own crude, text-based adventure games. I remember hearing a story about a crazy …

Nvidia CEO Jensen Huang argues it’s the “most illogical thing in the world” to believe AI will kill SaaS, and says the markets “got it wrong” in sending SaaS stocks tumbling. Why “illogical”? Because, as analyst Benedict Evans stresses, the fact that everyone can now easily spin up code actually doesn’t solve any SaaS problems, because creating code and tools is the easy part: “The hard part is k…

Cloud computing has always been about survival. When you’re building systems at scale, you need to think about resource planning, capacity, and adaptability when demand spikes. The survivalist mindset in cloud architecture is about building systems that can weather unexpected storms, whether that’s sudden traffic spikes or the need to scale AI inference across a global user base. During the past …

For a growing number of organizations, AI has become not only a key component of the software development process, but the centerpiece. These enterprises have shifted toward an AI-first development strategy, where artificial intelligence is integrated into all phases of the software development life cycle, rather than being a feature to use selectively during the process. In most cases, this mean…