Constructing the truly modern data application, capable of driving data-informed decisions across the organization, requires a lot of effort. To dramatically improve productivity, operational ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

Applications are expected to be always-on, lightning fast, and endlessly scalable—whether it's powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to ...

This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...

A robust data strategy is paramount for harnessing generative AI (GenAI), which is poised to significantly elevate global GDP by $7 trillion and enhance productivity within the next decade. In my ...

Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

Cloud-based data warehouse company Snowflake is adding more large language model capabilities and services related to generative AI, just months after releasing similar services in June. At its annual ...

Utility professionals depend on their vehicles to transport them across wide geographical areas so they can conduct repairs, install new equipment, and maintain existing assets. When trying to restore ...

Cathy Rowe, Senior Vice President and Segment Leader, U.S. Professional Market, Wolters Kluwer Tax & Accounting North America, discusses how data-driven insights combined with analysis and guidance ...

Oracle Corp. is imbuing its Fusion applications with agentic artificial intelligence in a move aimed at shifting operational software from an assistive role into direct execution of business processes ...