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The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

According to Gartner’s prediction, 90% of organizations will consider information the most valuable asset a business may have. And where does this information come from? Here’s a magic word – data. Even though many companies report making important decisions based on their gut feeling, 85% of them would like to improve the ways they use data insights to make business decisions.

Over the course of my career, I’ve had the opportunity to found and lead multiple technology companies with great teams. These companies have redefined their industries and empowered customers to work in different, better ways. At the core of these companies, however, has been a constant mission. A purpose. A north star that guides us over multiple decades.

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.

GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. By optimizing the use of existing resources, GPUaaS allows organizations to build and deploy their applications, without waiting for new hardware. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.

Founders of the world’s leading data companies share their insights on the latest trends in their industry and the keys to turning generative AI into business impact.

You can now access Gemini 1.0 Pro from inside the BigQuery console, gaining scale and efficiency to ground LLMs with your business data.