As businesses continue to harness Big Data to drive innovation, customer engagement and operational efficiency, they increasingly find themselves walking a tightrope between data utility and user ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Kinil Doshi is a senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. Advances in technology have played a crucial and welcomed role ...

Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company’s ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

(a) Crop breeding driven by the next generation of AI and big data technologies will be revolutionized in four areas: (i) high-throughput phenotype acquisition and analysis; (ii) biological big ...

For a brief moment, the digital asset treasury (DAT) was Wall Street’s bright, shiny object. But in 2026, the novelty has worn off. The star of the “passive accumulator” has dimmed, and rightly so.

With more and more use cases for AI and all its branches taking shape, big data is surging in relevance as the backbone of these projects—prompting DBAs, IT, data scientists, and more to take a closer ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...