Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...

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 ...

Big Data refers to a vast and diverse collection of structured, unstructured and semi-structured data that inundates businesses on a day-to-day basis. The big data space focuses on companies that ...

Big data was one of the hottest areas in the IT industry in 2013. The rapid growth in the volume, variety and velocity of data flowing through businesses' IT systems is growing exponentially -- and so ...

Mainstream companies have concerns about the lineage of the data that powers A.I. applications. An industry group is addressing that challenge. By Steve Lohr Steve Lohr has covered data and software ...

Intel, increasingly customizing server chips for customers, is now tuning chips for workloads in big data. Software is becoming an important building block in chip design, and customization will help ...

SAN JOSE, Calif. & HYDERABAD, India--(BUSINESS WIRE)--Analytics Insight has announced 'Big Data Analytics Companies of the Year’ in its September magazine issue. The issue is focusing on trailblazing ...

Hewlett Packard Enterprise (HPE) will buy BlueData in a move to expand its artificial intelligence (AI) and big data offerings. The companies didn’t disclose the terms of the deal, which is expected ...

Every year at RFID Journal LIVE!, I visit the RFID solution providers in the exhibit hall to see what new software products they’re offering. This year, software innovation was even harder to find ...

"We're tired of watching talent, money and decisions flowing out of state. When we invest in our startups, we're saying we ...

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 ...