Systems | Development | Analytics | API | Testing

Learn how Snowflake is expanding its partnership with Microsoft to bring OpenAI’s state-of-the-art models to Snowflake Cortex AI.

Over the past few years, Spark New Zealand has tackled the challenge of creating a strong data foundation by moving all of its data warehouses into Snowflake to create a centralised data platform. Now, explains Pritha Chattopadhyay, Domain Chapter Lead at Spark, this telecommunications leader and digital services provider is diving into artificial intelligence with the help of Snowflake Cortex AI. Tune in to learn about the benefits it provides.

Watch how Astera’s AI Auto-Mapper connects your data fields automatically. There’s no need to match names manually, our AI understands the data and links everything correctly, even if field names are different. Mapping your data has never been this easy!

On this episode of The AI Forecast, Mike Walsh talks us through what he calls the fifth and latest industrial revolution - and that’s AI. Mike is a futurist and expert in disruptive technologies. He’s a best-selling author, host of the Between Worlds podcast, and CEO of Tomorrow – a global consultancy helping organizations adapt to the challenges of the digital age.

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals. They explored key questions that every tech leader should be asking themselves.

Accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-powered predictive tools. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to manage Databricks costs with AI.

Flink’s secret weapon? Abhishek Walia, Staff Customer Success Technical Architect at Confluent, says it’s flexibility—whether you’re a developer, data scientist, or DBA.

Are we really in the “future of AI,” or are we just learning how to coexist with it? On this episode of Test Case Scenario, we explore: Why critical thinking and clear expectations make AI a tool, not a threat. How understanding its strengths—and its limits—keeps it a net positive. The gradual evolution of AI’s role in productivity, creativity, and problem-solving. The key to success? Making AI work for what it does best.