Sign up for our newsletter and get the latest big data news and analysis.

Using Machine Learning with Health Data: The Challenges and Pitfalls

In this contributed article, Elad Ferber, CTO and Co-founder of Spry Health, points out that when considering health data, the level of required customization for machine learning algorithms is very high for 3 reasons: the inherent complexity of the human body, the accessibility and relevance of data sources, and integration into the existing healthcare system.

Data Systems Strategies for Today’s Challenges

To address today’s challenges and come up with viable data systems strategies, pharmaceutical companies are looking outside the industry to leverage scientific and technical innovation in other markets.

Artificial Intelligence App Game Changer for Health Care Technology in the US

Health technology company Ada has brought a new artificial intelligence (AI) powered health companion to the US, providing Americans with a more personalized way to assess and monitor their health. Designed to grow smarter as users engage with it, Ada’s intelligence not only offers users a sophisticated and tailored health assessment, ­ it also supports […]

4 Ways AI Is Changing Healthcare

In this contributed, Anthony Coggine, HR professional turned business analyst. provides four ways that artificial intelligence (AI) is changing the healthcare industry.

4 Pros and Cons of the Medical IoT

In this contributed article, technology writer and blogger Kayla Matthews provides 4 pros and cons of the medical IoT. IoT has the potential to change the medical industry from the ground up, though time has not yet determined if that change is going to be a positive or negative one.

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.

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.

UCHealth Improves Surgeons’ Utilization of Operating Rooms with Machine Learning Technology

UCHealth announced its inpatient operating room (OR) utilization at University of Colorado Hospital has seen a 16 percent increase for the blocks exchanged through mobile block swaps, in just three months with the launch of smart block scheduling based on predictive analytics.

insideBIGDATA Guide to 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. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.

InsideBIGDATA Guide to Healthcare & Life Sciences

This technology guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries. To learn more download this insideBIGDATA guide.