Systems | Development | Analytics | API | Testing

Watch how Astera Centerprise streamlines your data warehousing process with a visual, no-code interface. From modeling and preparation to loading and automation, Centerprise helps you design and deploy modern data warehouses in a fraction of the time — all without writing a single line of code. Smarter. Faster. Effortless.

Agentic AI doesn’t have to mean months of architecture work, custom orchestration layers, or external platforms. In this hands-on workshop, you’ll build Snowflake Intelligence agents using native Snowflake capabilities to reason over structured data, retrieve context from unstructured sources, and execute multi-step analysis directly inside Snowflake within minutes.

According to a recent report, 90% of retail leaders say they began experimenting with gen AI solutions and scaling priority use cases. Retailers are looking to update data systems and boost AI for risk, cost reduction, and growth need an all-encompassing approach — and that means efficiently blending AI and analytics into operations. Learn how to use data and AI to manage risk and drive growth for your organization, see how Qlik and Snowflake are making this happen today.

Cloudera Account 360 is designed to resolve this by providing a single pane of glass from which customers can manage their users and accounts. It offers robust, flexible, and secure account as well as user management capabilities, helping you avoid delays by eliminating the need to raise support cases with Cloudera for simple administrative tasks. Foundational Features Available Now Cloudera Account 360 includes two core feature sets.

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.