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Pharma adopts data-science culture in move toward AI

Pharma adopts data-science culture in move toward AI

by Jesse Morris | Jan 3, 2017 | Business Intelligence

Features Share this content: Print To whom does pharma turn when facing cutting-edge research challenges such as designing algorithms to comb unstructured EHR data hunting for undiagnosed patients…
5 digital experts on what's next in health technology

5 digital experts on what's next in health technology

by Jesse Morris | Jan 3, 2017 | Business Intelligence

Features Share this content: Print It’s Transformers season, as we like to call it here at MM&M. That means we opened up nominations for the 2017 class of Top 40 Healthcare Transformers. We also…
The 4 tech trends that will shape 2017, predicted by ZDNet editors

The 4 tech trends that will shape 2017, predicted by ZDNet editors

by Jesse Morris | Jan 3, 2017 | Business Intelligence

As we do each week, the editors of ZDNet will continue to put our heads together in 2017 and give you our weekly Monday Morning Opener–an editorial that zooms in on the most important topic in tech…
Here’s what five venture capitalists are predicting for 2017

Here’s what five venture capitalists are predicting for 2017

by Jesse Morris | Jan 3, 2017 | Business Intelligence

With 2016 now in the rear-view mirror, it’s time to take a quick moment to forecast what might be looming on the horizon in the near year. Who better to ask than a group of venture capitalists, the…
9 IoT global trends for 2017

9 IoT global trends for 2017

by Jesse Morris | Jan 3, 2017 | Business Intelligence

The Internet of Things (IoT) is touching every technology sector around the world, and it’s having a significant impact on how enterprises and consumers interact with machines and devices…
Big data and BI trends 2017: machine learning, data lakes and Hadoop vs Spark

Big data and BI trends 2017: machine learning, data lakes and Hadoop vs Spark

by Jesse Morris | Dec 29, 2016 | Business Intelligence

As we sit on the cusp of 2017 we are still talking about organisations finally “operationalising” their data, namely: putting useful, actionable data into the hands of business users where and when…
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