95% of AI pilots are failing. Here's why the other 5% are winning. While most organizations scramble to retrofit compliance into their AI implementations, leading finance teams are building it in from the start—and gaining a major competitive edge. Three insights that caught my attention: → Vendor solutions succeed at 2x the rate of internal builds (67% vs 33%)—your team's expertise matters more than you think.

In this episode, Drew Oetzel sits down with Ryan Anguiano, Staff Architect at @WhatIfMediaGroup to discuss their massive migration of from legacy EC2 instances to using the @Strimzi operator. Ryan shares deep technical insights into how they optimized their data streaming architecture, including their use of EKS, EBS storage striping, and why the 12-Factor App methodology was the key to migrating over 100 services in just a few months.

Qlik Data Products for Analytics is how you turn raw data into something people can actually trust and reuse. It’s built right into Qlik Cloud Analytics and is designed for analytics teams, data producers, and even AI initiatives. Instead of everyone rebuilding datasets over and over, teams can publish curated, governed, analytics-ready data products that include business context, quality checks, and our patented Qlik Trust Score. People discover them in a marketplace, plug them straight into dashboards, apps, or AI workflows, and move fast with confidence. The big value? Less duplication, lower cost, faster app development, and insights you can actually trust.