Systems | Development | Analytics | API | Testing

"Your lived experience is your analytical edge." For International Women's Day, we sat down with women leading the future of Data & AI: Women In Data's Sadie St Lawrence, NextEnergy Group's Lydia Collett, and ThoughtSpot's Eugenia Losada-Gamst Martínez. They shared what it actually takes to thrive in this industry: Hit play to hear it in their words. Be part of the conversation shaping the future of Data & AI.

Discover how AbbVie leverages Knowledge Graphs and RAG (Retrieval-Augmented Generation) to automate clinical study reports, reducing draft times by up to 80%. Learn about their "three-class formalism" for human-in-the-loop governance and how they achieved a 250,000-hour FTE return on investment in 2024. This session provides a strategic roadmap for scaling AI in highly regulated industries while maintaining strict data security and clinical integrity.

Hear what’s new at Snowflake in March, from major product launches to upcoming community events, and more. Next generation Snowflake Notebooks are now generally available, delivering a familiar Jupyter-based experience directly in Snowflake workspaces. Online model inference in the online feature store is also generally available, enabling millisecond predictions for real-time use cases like fraud detection and personalized recommendations, with no extra infrastructure to manage.

Learn why 95% of AI implementations fail and how "winners" succeed by solving narrow, high-value back-office problems with a trusted data lakehouse foundation. Discover the latest innovations in private cloud inferencing, data lineage via Octopai, and the new "AI in a Box" solution developed with Dell and NVIDIA. From managing 3-exabyte data lakes to reducing TCO on AWS, see how Cloudera is modernizing the open data lakehouse for the next era of enterprise intelligence..

Learn how to eliminate the gap between public and private clouds with a unified data fabric that offers one-hour time-to-value.. Discover how the acquisition of Octopai and Taikun enables automated data lineage and seamless Kubernetes deployment across any environment. From private AI inferencing to Spark 4 upgrades, see the future of enterprise data management and hybrid cloud portability.

Open lakehouse architecture is becoming the foundation for production AI and enterprise AI at scale. In this episode of The AI Forecast, Dipankar Mazumdar, Director of Developer Relations at Cloudera and co-author of the book “Engineering Lakehouse with Open Table Formats,” joins Paul Muller to explain why open lakehouse architecture is critical for moving from AI pilot to production AI.

Quickly see how to use Qlik Talend Data Integration to create a Replicate job to move data from YouTube Analytics to your analytics data store.

New regulations have changed the stakes. With NIS2, DORA, and GDPR, senior leaders are now personally accountable for how data is accessed, analysed, and shared. Yet in many organizations, critical insight still flows through spreadsheets, slide decks, and manual exports - outside governed systems and beyond auditability. Once data leaves controlled platforms, visibility and accountability disappear.