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.

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers more than 15 cloud-based analytics services to satisfy a diverse range of business and IT use cases. For AWS customers, understanding the features and benefits of all 15 AWS analytics services can be a daunting task - not to mention determining which analytics service(s) to deploy for a specific use case.

In the realm of data integration and management, effectively handling XML files is paramount. The structure and readability of XML (Extensible Markup Language) play a critical roles in data exchange and configuration across various applications and systems. This is where an XML formatter becomes indispensable. By optimizing the readability and structure of XML documents, an XML formatter ensures seamless data integration and management processes.

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

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.

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.

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.