Blog:
Bridging AI and BI

Updated April 8, 2026

June 10th, 2026 update: We've updated this article around the biggest shift in analytics: AI agents that do the work for you. A new category, AI Data Analytics CoWork, now leads the list, and the classic BI tools have moved…

Updated October 9, 2025

Today’s enterprise analytics environments are rarely centered around a single BI tool. Most organizations operate a patchwork of visualization and analysis platforms — Power BI for some teams, Tableau for others, Looker in pockets, and Excel still dominating finance workflows.…

Updated October 7, 2025

Enterprise GenAI deployment is accelerating rapidly, with organizations rushing to implement AI copilots, natural language query interfaces, and agentic AI systems across their business workflows. But here's the hard truth that I'm seeing emerge from early implementations across our customer…

Updated September 29, 2025

The promise of GenAI-powered analytics is compelling: business users ask questions in natural language and receive accurate insights instantly. However, a critical trust issue is emerging as organizations rush to implement "ask-your-data" experiences—how do you ensure these conversational BI systems…

Updated September 18, 2025

After 15 years helping enterprises unlock the value of their data investments, I've seen my share of technology hype cycles. But I'll be direct with you: the Agentic AI wave isn't just another trend, it's fundamentally reshaping how organizations think…

Updated September 10, 2025

I’ve been building in the business intelligence (BI) space for over two decades. I’ve seen the rise of self-service BI, the transition to cloud-native analytics, and the promise of augmented insights. Each wave brought new tools, new opportunities, and plenty…

Updated September 9, 2025

The Harsh Reality: AI Pilots Are Stalling MIT’s NANDA initiative recently published a study showing that “the 95% failure rate for enterprise AI solutions represents the clearest manifestation of the GenAI Divide.” For executives betting big on AI, that number…

Updated September 4, 2025

As Gartner's 2025 Hype Cycle for Analytics and Business Intelligence reveals, natural language query (NLQ) sits at the "Peak of Inflated Expectations" with transformational potential, but without proper semantic foundations, most NLQ implementations fail to deliver on their promise. What…

Updated August 25, 2025

Last week, I had the privilege of demonstrating how AtScale's Universal Semantic Layer transforms retail analytics during our "Retail Analytics at Scale" Tech Talk alongside our CTO Dave Mariani. As someone who works closely with retail customers daily, I wanted…

Updated August 21, 2025

A Fortune 50 home improvement retailer with 2,200+ stores was drowning in data chaos. Finance reported one margin number. Store operations had another. Marketing's revenue figures never matched either department. The reconciliation process? A grueling 2-3 weeks of manual Excel…

Updated August 7, 2025

Natural language querying (NLQ) is revolutionizing how organizations access data, with Snowflake Cortex Analyst leading the way. Business users can ask questions like “What were our top-selling products last quarter?” and receive SQL-generated answers instantly. But despite Cortex Analyst’s impressive…

Updated July 22, 2025

When we launched AtScale over a decade ago, the idea of a universal semantic layer was ahead of its time. Today, it’s no longer a vision, and it’s the foundation for modern analytics and enterprise AI. At the 2025 Semantic…