Does public cloud AI cost too much?
Initially, the promise of the cloud is compelling, offering immediate scalability, rapid provisioning, and managed services. However, as organizations transition from pilots and proofs of concept to production-grade, steady-state AI, cloud costs can escalate rapidly, sometimes far exceeding initial forecasts. Resource-intensive AI training or inference jobs in the cloud can trigger unexpected, fluctuating bills, often […]
Read MoreWhy LLMs demand a new approach to authorization
Balancing innovation and security There is so much incredible promise in AI right now but also incredible peril. Users and enterprises need to trust that the AI dream won’t become a security nightmare. As I’ve noted, we often sideline security in the rush to innovate. We can’t do that with AI. The cost of getting […]
Read MoreTypeScript 5.9 supports deferred module evaluation
The preview of the expandable hovers feature, meanwhile, offers “quick info verbosity.” Developers using an editor like Visual Studio Code now will now see + and – buttons on the left of these hover tooltips. Clicking on the + button will expand out types more deeply, while clicking on the – button will return to […]
Read MoreVisual Studio Code bolsters Copilot Chat, MCP support
In an effort to make VS Code an open-source AI editor, the GitHub Copilot Chat extension source code now is available on GitHub under an MIT license. The open-sourcing not only allows developers to explore and contribute to the project, but also enables understanding of the implementation of chat modes, custom instructions, and AI integrations, […]
Read MoreAI coding tools can slow down seasoned developers by 19%
“The 19% slowdown observed among experienced developers is not an indictment of AI as a whole, but a reflection of the real-world friction of integrating probabilistic suggestions into deterministic workflows,” Gogia explained, emphasizing that measurement should include “downstream rework, code churn, and peer review cycles—not just time-to-code.” Broader industry evidence The METR findings align with […]
Read MoreHow AI is quietly saving enterprises thousands on Azure costs
Managing cloud costs in Azure has become one of the biggest challenges for technology teams. While Azure offers flexibility and power, it also makes it easy to overspend. Resources are often left running, services are overprovisioned and budgets get blown without warning. What’s changed recently is that artificial intelligence can now take on much of […]
Read MoreOracle Database@AWS goes GA: Exadata and Autonomous DB now live in the US
The focus, according to Yuhanna, is on ensuring high availability, and since the regions are geographically isolated, an outage in one doesn’t necessarily impact the other. Availability in 20 additional regions In addition to the US regions, Oracle and AWS plan to expand the availability of Oracle Database@AWS to 20 regions over the next 12-18 […]
Read MoreMetadata: Your ticket to the AI party
Agentic AI is fundamentally reshaping how software interacts with the world. New frameworks for agent-to-agent collaboration and multi-agent control planes promise a future where software acts with more autonomy and shared context than ever before. Yet amid all this excitement, one quietly persistent idea holds everything together: metadata. Known in data management circles for decades, […]
Read MoreArriving at ‘Hello World’ in enterprise AI
Enterprise AI sells like middleware, not SaaS. You’re not dropping an API into Slack; you’re rewiring 20-year-old ERP systems. Procurement cycles are long and bespoke scoping kills product velocity. Then there’s the potential for things to go very wrong. “Small deals are just as much work as larger deals, but are just way less lucrative,” […]
Read MoreAWS adds incremental and distributed training to Clean Rooms for scalable ML collaboration
“The need for secure data collaboration is more critical than ever, with the need to protect sensitive information, yet share data with partners and other collaborators to improve machine learning models with collective data,” said Kathy Lange, research director at IDC. “Often, enterprises cannot collect enough of their own data to cover a broad spectrum […]
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