One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. A 2013 article in the New York Times said that 2012 was the ...
The explosive use of big data, predictive analytics and other modeling techniques to help understand and drive outcomes in all types of organizations has significantly increased over the past decade.
Israel is making a big bet on big data in medical research and treatment. There are dozens of startups—and large companies—that are parsing anonymized medical data, outcomes and results for patients, ...
“Data” is the watchword of the progressive gov tech professional today. If we can put a number to a problem — quantify it, catalog it, assault it with an avalanche of analytics — all will be well.
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Recently, we have been hearing about Big Data more and more often. In today's digital world, this technology is being actively used in the financial industry as well. Let's take a closer look at the ...
Although recent advances in computational capacity and machine learning have led to well-publicized breakthroughs in clinical risk stratification, these advances are noticeably absent in oncology. A ...
Over the past few years, critical thinking has been deemphasized in education and lacking in business. But to get the most out of your analytics, someone needs to be asking incisive questions. Image: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results