Small businesses must make sense of the large amount of information they receive. Here’s how to understand big data so you can ensure company success.

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 ...

Big Data Analytics and Information Systems represent a synergistic field that harnesses vast volumes of digital data to derive actionable insights and support decision-making across diverse sectors.

Big data analysis is pervading into virtually every field: science and academia, law, industry, government and even non-profits. Modern data analysis is revolutionizing schemes of thought and ...

Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data platform ...

Spending on unwarranted use of healthcare services, where no actual measurable benefit is obtained, has been estimated in the range of $250-$325 billion annually in the U.S., according to Thompson ...

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 ...

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 ...

(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 ...

There’s no doubt that we’ve come a long way from the days when crank windows and stick shifts were the norm and cruise control was a new phenomenon. Modern cars now come equipped with a plethora of ...

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 ...