Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...
In the fast-evolving world of Agentic AI, where Large Language Models (LLMs) are rapidly advancing, seamless integration with external tools and data sources remains a key challenge. Imagine an AI ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
Ramakrishnan Venkatasubramanian, CTO at Galent, leads AI-native transformation for global enterprises. Often, the problem isn’t AI itself. It’s whether organizations are solving the right problems, ...
Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...
Semantic leakage occurs when a word in a prompt is later used in an LLM chat in an unsuspecting way. This can be worrisome in ...
The fusion of artificial intelligence and Kubernetes is redefining modern infrastructure, shifting how systems are built, deployed and scaled. Cloud-native now extends beyond centralized data centers ...
Microsoft announced .NET 10 at this week's .NET Conf 2025, calling it the most modern, secure, and performant version of the platform yet. The Long Term Support (LTS) release adds built-in AI ...
Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency. Microsoft Fabric users will soon face more work to set up ...
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