An IndyCar race like the Indianapolis 500 generates about 1 billion data points per hour, including data from the more than 100 sensors on each car. This is a wealth of real-time data. However, using ...

DUBLIN--(BUSINESS WIRE)--The "Data Center Transformation Market (2025 Edition): Analysis By Deployment Type (On-Premise and Cloud-Based), By Service Outlook, By End User Industry, By Region, By ...

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...

Most organizations today (93%, according to one study) have adopted or plan to adopt a digital transformation strategy. This strategy must accomplish two things: It must make the process faster and ...

Data transformation is entering a new era with the advent of generative AI, significantly altering how users access and manipulate data for enhanced productivity. Prophecy Inc.’s latest innovation, ...

As nuclear operators face increasing demands for agility, safety, and cost control, the industry is under pressure to modernize how data is used across the asset lifecycle. Real-time operational ...

Data transformation and optimization — tasks that many, if not most, large enterprises deal with — aren’t easy. And thanks to the enormous growth of AI and cloud technologies, the challenges appear to ...

Data transformation startup Coalesce Automation Inc. has revealed how it is planning to scale its business, unveiling an ambitious roadmap to coincide with its biggest funding round yet. The company ...

As artificial intelligence transforms every industry, organizations are placing an increased focus on the quality of their data. The ability to generate value from AI depends not only on computational ...

Navigating the world of data management can often feel like a daunting task, especially when faced with messy datasets that seem to defy order. If you’ve ever spent hours manually cleaning data in ...

For a simplistic view of data processing architectures, we can draw an analogy with the structure and functions of a house. The foundation of the house is the data management platform that provides ...