AI training data has a big price tag, one best-suited for deep-pocketed tech firms. This is why Harvard University plans to release a dataset that includes in the region of 1 million public-domain ...

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 ...

They’re huge. They suck up thousands of kilowatts of energy. And they might be coming to an Easton area neighborhood near you. Data centers are necessary to power artificial intelligence, and the ...

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 ...

It’s that time of year again, when people publish their top-10 or top-20 lists of what to expect in the year ahead. As usual, rather than pile on with another list, I’m limiting my contribution to one ...

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 ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

Fueled by a boom in artificial intelligence and the nation’s insatiable demand for cloud computing, Michigan is plunging into an era of massive data centers. Across the state, developers are pitching ...

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 ...

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 ...