Systems | Development | Analytics | API | Testing

What IT Buyers Need to Know Before a Mainframe Refresh

Most mainframe storage refreshes begin with a notice. A support statement gets revised, a lifecycle date is published, a lease comes due, or a capacity report shows the estate crossing a threshold two years earlier than anyone planned for. A purchase that had been sitting comfortably in a future budget cycle now has to close in this one. Under deadline pressure, the instinct is to buy the current generation of the platform you already run.

AI at Scale: Why Trust, Not the Model, Decides Who Wins

Every AI conversation eventually turns into a model conversation: which one is fastest, which one hallucinates least, which one your competitors are already using. Three recent episodes of The Data and AI Chief, hosted by ThoughtSpot's Chief Data and AI Strategy Officer Cindi Howson, make a different case entirely about what it takes to scale AI in the enterprise.

7 Best EDI File Viewers and X12 Parsers in 2026

Understanding EDI files shouldn't require specialized expertise or expensive enterprise software. Whether you're troubleshooting a single healthcare claim file, validating daily purchase orders, or building automated data pipelines, the right EDI viewer can transform cryptic X12 code into actionable business intelligence.

EDI 820 Premium Payment File: Format, Key Segments, and 834 Reconciliation

Imagine receiving a carrier suspense file showing 200 premium payment records that couldn't be matched to members in the enrollment system. Your AR team is now manually cross-referencing spreadsheets to figure out which enrollments the carrier missed, which terminations payroll didn't catch, and which IDs don't match. This scenario plays out monthly at organizations where payment/enrollment mismatches create expensive manual rework.

Cautionary Tales from the Age of AI

Can AI agents actually fix production Kubernetes clusters, or are we just trapped in flashy AI marketing hype? In this Cloud Native Budapest session at Cloudera, Yurii Palamarchuk (Cloudera) breaks down why most AI demos fail in production, and Péter Megyesi shares how autonomous AI agents (Claude Code, kubectl) resolved a complex 6-year-old Ceph & Kubernetes outage.

Why Enterprise AI Context Lives in People's Heads, and How to Fix It

Why does context always seem to live in people's heads in enterprise organizations? According to Jessica Talisman, author of The Ontology Pipeline and founder of Contextually LLM, the answer is that organizations have invested heavily in data management for decades — and almost nothing in knowledge management. In this clip from Day 1 of our Semantic & Context Layer Series, Jessica joins Jane Smith and Sonny Rivera to untangle the terminology confusion around semantic layers, context layers, and memory and explain why the gap between data and knowledge is exactly where AI answers break down.

Introducing the Three-Layer Model for Intelligent Products

On a recent All-In podcast episode, David Friedberg described how his team at plant-breeding company Ohalo Genetics spent a weekend building an internal CRM using Claude Code, Cursor, and a handful of other AI coding tools. They stood it up, started using it, and it worked. Then the requests started. Can you add this feature? Can it sync with the tools we already use? What about access controls and data security?

Open Data Infrastructure in the age of AI agents

Fivetran + dbt Labs CEO George Fraser and Fivetran + dbt Labs President Tristan Handy sit down with Andreessen Horowitz general partner Martin Casado, one of the leading investors in software and AI infrastructure, to talk about Open Data Infrastructure in the AI era. Martin and his team have invested in dbt, Fivetran, Tabular, Cursor, OpenRouter, and many other companies.