How is AI evolving data warehousing? The second episode of our "AI and the Modern Data Stack" series welcomes Databricks' Ari Kaplan, Head Evangelist, and Robin Sutara, Field CTO, to unpack generative AI's impact on improving service operations and providing data insights, the challenges of data governance and management, how Databricks can help, and much more. Key takeaways: 💥 Great data and AI require you to consider people, processes, and platforms—technology is just an enabler. 💥 Incorpora
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Working with data and AI should help you move faster, not hold you back. Learn how organizations like Mastercard, Akamai Technologies, and the Indiana Pacers use Databricks to: – Build production-ready AI and multi-agent systems – Run a more cost-effective data warehouse on lakehouse architecture – Break down data silos to unlock unified insights – Simplify how teams work with data and AI Watch on-demand: https://www.databricks.com/resources/webinar/raw-data-refined-insights-databricks-primer?ut
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The smarter AI gets, the more data capacity it will need. To help businesses adapt intelligently, we've released a framework called the AI Data Cycle as well as new products to power AI now and into the future. | Western Digital
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In this step-by-step tutorial, learn how to build a complete data warehouse and ETL workflow using Alibaba Cloud DataWorks. We walk through the entire process—from setting up your environment and configuring data sources to designing efficient workflows, scheduling jobs, and visualizing results—all within the powerful DataWorks platform. DataWorks simplifies end-to-end data development, making it ideal for data engineers, analysts, and architects building scalable data platforms on Alibaba Cloud
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