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Uncovering Opportunities at the Intersection of Public and Private Data

In this special guest feature, Hicham Oudghiri, CEO and Co-Founder at Enigma, discusses how data analysis as a tool for solving problems requires an understanding that the answer lies within the data set, either in the form of an insight or actionable anomaly. As businesses turn to analytics more to solve their everyday issues, it is important to understand what data can and can’t do, and to understand how to identify which data sets in a sea of data can help solve the problem at hand.

In Healthcare, Automation Is Not Just About Efficiency

In this special guest feature, Carla Leibowitz, Head of Strategy and Marketing at Arterys, discusses how deep learning tools can aid physicians in determining a patient’s condition more quickly and accurately and what promise this holds for personalized care.

Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”

Big Healthcare Players Store Big Data in the Cloud

In this special guest feature, Gerard Scheitlin, Vice President of Security, Risk, and Assurance at Orion Health, makes the case that big healthcare players are storing big data in the cloud because the benefits of cloud infrastructures are significant and hard to ignore.

How Big Data Will Impact Biomedical Research

In this contributed article, tech writer Linda Gimmeson discusses how today we see big data playing a part in biomedical research, and specifically three main ways that big data has impacted biomedical research include authorization, speedy results, and safer animal testing.

How Big Data Is Being Used to Fight Infectious Disease Threats

In this contributed article, technology writer and blogger Kayla Matthews discusses how big data can be used to fight infectious disease threats.

MedyMatch Reveals Artificial Intelligence Deep Vision Intracranial Bleed Detection Technology

MedyMatch Technology Ltd., (“MedyMatch”) the deep learning and artificial intelligence company, announced that after several years of extensive research and development, it has achieved a major milestone in the availability, for research, of an artificial intelligence based technology that can help detect the presence of intracranial hemorrhage or brain bleed which can occur in cases of brain trauma and stroke. Subtle bleeds are difficult to detect and if misinterpreted or missed by a physician can lead to serious patient injury and even death.

It’s Time to Redesign Medical Data

In the TEDMED talk below, Thomas Goetz looks at medical data, making a bold call to redesign it and get more insight from it. Your medical chart: it’s hard to access, impossible to read — and full of information that could make you healthier if you just knew how to use it.

Big Data and Healthcare

In this contributed article, Jaspinder Grewal, current CEO of CareSkore, discussed why it’s becoming more difficult for doctors to focus solely on their patients. While the rise of the health IT landscape was meant to automate certain tasks, the reality is it’s taking up more and more of a doctor’s time.

Case Studies: Big Data and Healthcare & Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on big data case studies.