Blog

Updated April 6, 2026

For years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from inconsistent data, and suddenly, governance…

Updated April 6, 2026

As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…

Updated March 30, 2026

Over the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…

Updated March 27, 2026

Enterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…

Updated March 26, 2026

Autonomous AI agents, which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management. It's no surprise that, as regulatory…

Updated March 16, 2026

For a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…

Updated April 1, 2026

The semantic layer has moved from niche infrastructure to a boardroom priority. Snowflake announced one. Databricks announced one. Google repositioned Looker as one. Microsoft repositioned Power BI as one. This is genuinely good news. As ISG analyst Matt Aslett observed…

Updated March 5, 2026

I've been in the BI and data space long enough to recognize when something fundamental shifts. Denny Lee and I first worked together when he was at Microsoft on SQL Server Analysis Services (SSAS), and I was a customer building…

Updated May 13, 2025

In our recent webinar, Democratizing Data Intelligence Across the Supply Chain with a Semantic Layer, I had the pleasure of speaking with Joshua Green, Data and AI Strategist at Databricks, about how our two platforms—AtScale’s Semantic Layer and Databricks Genie—are…

Updated March 10, 2025

AtScale and Databricks first partnered in early 2022. At the time, Databricks SQL was still gaining traction, and many enterprises relied on various presentation layers for analytics. Our mission was clear: to enable organizations to modernize their analytics stack by…

Updated March 4, 2025

Kyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…

Updated March 4, 2025

AtScale and Databricks first started partnering together in early 2022. At the time, Databricks SQL was relatively new, and many of their customers were still leveraging optional presentation layers to support Business Intelligence workloads. The partnership began to gain momentum.…

Updated February 25, 2025

Summary: AtScale now integrates with Databricks Genie, enabling AI-driven natural language querying (NLQ) with governed, business-defined accuracy. Genie enables business users to query data in plain language, while AtScale ensures AI-generated SQL queries align with business definitions. AtScale’s semantic layer…

Updated January 16, 2025

The fields of Artificial Intelligence (AI) and Business Intelligence (BI) are undergoing rapid transformation, driven by advancements in machine learning, large language models (LLMs), and data democratization. Amid this evolution, open-source semantics are emerging as a cornerstone for bridging the…

Updated August 15, 2024

Adam Conway (SVP of Product at Databricks) recently published a blog titled “Big Data Is Back and Is More Important Than AI” and argues that the most important revenue-generating or cost-saving workloads depend on massive data sets. This is especially…

Updated March 22, 2024

As I hinted in my last blog post, “Your Questions Answered: TPC-DS Benchmark for Power BI/Direct Lake”, and due to popular customer demand, I’m happy to announce that we just published our Power BI/Direct Lake benchmark comparison for another data…