For much of enterprise technology history, data was treated as something to be stored, processed, secured, and analysed. The cloud changed where data lived. Enterprise resource planning (ERP), ...
I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...
AI is spreading like a city without a highway system; if teams keep building solo workarounds, companies will soon face a massive bill for the mess they've made. I have seen this movie before. A ...
Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...
Keep things human, but don’t fear Artificial Intelligence (AI), says Edmonton AI expert Kristian Bainey. The MacEwan University professor, NAIT instructor, and Edmonton-based AI author, recently ...
How must databases adapt to generative AI, and how should databases be integrated with large language models (LLMs)? These are questions that Sailesh Krishnamurthy has grappled with for several years ...
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...
Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
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