The 85-to-15 Gap: Why Enterprise AI Demos Succeed but Production Text-to-SQL Still Breaks
By Hansraj H. PabbatiPrincipal AI Engineer, Palo Alto Networks | Formerly Oracle Cloud Infrastructure & Amazon Web Services Key Takeaways
By Hansraj H. PabbatiPrincipal AI Engineer, Palo Alto Networks | Formerly Oracle Cloud Infrastructure & Amazon Web Services Key Takeaways
Enterprise decision-making has changed more in the last eighteen months than in the previous decade. The dashboards, quarterly reports, and
Data leaders understand provenance. If nobody can explain where a value came from, how it changed, and who owns its
For the last decade, “data-driven” mostly meant dashboards. Someone built a report, someone else stared at it, and a human
There’s a specific moment almost every new analyst remembers: staring at a spreadsheet with fifteen thousand rows, three different date
Ask a data leader what keeps them up at night in 2026, and “not enough data” is rarely the answer.
Every analytics vendor slapped “AI-powered” onto their homepage sometime around 2023. Most of them bolted a chatbot onto an existing
Enterprises in 2026 operate under unprecedented data demands. Modern data stacks stretch across multi-cloud environments, hybrid data lakes, operational data
If you have ever opened a Snowflake invoice and felt your stomach drop, you are not alone. Snowflake’s consumption-based pricing
Picture a subscription business with 100,000 customers, trying to figure out who’s about to cancel before it actually happens. Manually