Snowflake recently released a suite of built-in functions that allow users to leverage AI functionality directly through SQL. These functions leverage powerful models (e.g. Anthropic, Meta, Arctic, etc) that are fully hosted inside Snowflake and can be used for a wide range of tasks. In this...
Bottom Line Up Front: Semantic layers are transforming how organizations manage and deliver data analytics by providing a unified, context-rich middleware that translates raw data into consistent, accessible insights across all business applications — from traditional BI tools to AI-powered agents. The data analytics landscape is...
Generative AI continues to capture our collective imagination, and if my feeds are any indication, we're finding new words to describe them all the time — chatbots, copilots, agents and more. But what's the reality here? What do practical AI workloads actually look like? Single-LLM Features These...
Corporate AI Projects are High Risk, High Return McKinsey report that the adoption of AI within businesses has surged in the last year, with 72% of companies now using AI in at least one business function (ref). There's a problem though: Most internal AI initiatives fail to...
Have you ever considered creating a chatbot? It might seem like a straightforward task, but, in reality, it involves more complexities than you might initially anticipate. The central challenge lies in enabling the AI to respond meaningfully to the user's queries, which often requires context....
There has been a broad trend toward self-service that has applied across industries, across geographic boundaries and long time periods. We once expected to be served individually by butchers or bakers, but now help ourselves from a supermarket shelf. In industry, corporations once employed armies of...
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