Systems | Development | Analytics | API | Testing

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance.

Welcome to Part 7 of the “Data Products for Qlik Analytics” series! In this episode, we take Data Quality to the next level by building advanced data validation rules using IF / THEN / ELSE logic within Qlik Analytics. You’ll learn how to create conditional validation logic that evaluates relationships across multiple columns, enabling smarter and more dynamic data quality checks for your data products.

Zscaler's Tiffany Blakeney shares how her team replaced fragmented tools and months-long development cycles with Snowflake's all-in-one AI platform. By consolidating all data, APIs, and AI models in one secure platform, Zscaler reduced campaign creation from months to minutes—and more importantly, gained the trustworthy, governed AI foundation a cybersecurity company demands. Learn how they're using Snowflake's integrated AI capabilities to move from POC to production faster than ever while maintaining the security posture critical to their industry.

Tableau's direction is clear. For embedded analytics teams serving customers with strict governance, data residency, or infrastructure requirements, "cloud only" constrains your product, your market, and your roadmap. In this video, we break down what Tableau Next's Hyperforce launch actually means for ISVs and SaaS vendors building embedded analytics, including: If you're doing real long-range planning, this is the conversation that matters.

Join Paul Ramsey, Product Manager at Google, for a demonstration of AlloyDB’s new Lakehouse Federation capability. Using a fictional financial services firm, Cymbal Investments, we show how analysts can research S&P 500 trends by combining real-time vector search with data in BigQuery and Google Cloud Lakehouse. In this video, you will see: Learn how AlloyDB enables cloud and AI transformation for your data platform.

Unlock true data interoperability with Cloudera Data Sharing, powered by the Iceberg REST Catalog. Discover how it enables frictionless data collaboration across popular platforms and engines, eliminating costly data movement and replication. In this session, we'll demonstrate in action.

Ryan Tucker, CRO & Co-Founder of Hakodaa (now an IBM company), shares how their True Blue Snowflake partnership since 2021 drives data transformation and AI value with vertical expertise. He highlights customer wins including Cortex AI-powered sentiment analysis for a UK wealth manager and Snowflake Intelligence for retail executive reporting, and discusses how the IBM acquisition amplifies their Snowflake-specialized DNA with global reach.

AI fixed the M&A data nightmare, but @SPGlobalMarketIntelligence 's Saugata Saha says the real win is shifting your mindset. Stop treating data as a byproduct...make it your competitive edge! Catch the full discussion of podcast on any podcast platform.

Is your organization actually driving value with AI, or just scratching the surface? @SPGlobalMarketIntelligence's Saugata Saha joins to share the 4-part journey to real AI maturity. He warns that without a deliberate action plan to completely transform day-to-day employee workflows, any productivity gains will just be "squishy" metrics that fail to impact the bottom line. Head over to your favorite listening platform to catch the full episode!

Jeff Miller, Managing Director and Global Head of Data Factory and Enterprise Data Platforms, explains how Snowflake's governance-first framework enables federated data ownership while maintaining enterprise-grade controls.