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FDA’s Next Frontier: Regulating Machine Learning in Clinical Decision Support Software

In this special guest feature, Bradley Merrill Thompson, a partner in the Washington DC office of law firm Epstein Becker & Green and Chairman of the Board of the firm’s consulting affiliate EBG Advisors, starts a compelling and timely conversation on the FDA’s approach to regulating machine learning.

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.

Government Applications of IoT

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. This is the second in a series of articles providing content extracted from the guide. The topic for this segment is government applications of the Internet-of-Things (IoT).

If Done Right, Artificial Intelligence Can Transform the Retail Experience

In this special guest feature, Greg Ng, VP of Digital Engagement at PointSource explains how AI is helping companies tailor the user experience to each customer’s specific wants and needs.

insideBIGDATA Guide to Data Analytics in Government

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public
sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples, how the Internet-of-Things is taking a firm hold in helping government agencies collect and find insights in a broadening number of data sources, how government sponsored healthcare and life sciences are expanding, as well as how cybersecurity and data analytics are helping to secure government applications.

4 Ways Artificial Intelligence is Revolutionizing Healthcare

In this special guest feature, Prashanth Kini, Vice President and Head of Product, Healthcare for Ayasdi provides four real-world examples where machine intelligence is helping provider organizations transform into learning health systems that are continually improving performance.

Data & The Chanel Effect

In this contributed article, Samuel Lim, CEO & Co-founder at Reebonz.com, discusses data’s role in opening up luxury to a broader market: aka The Chanel Effect.

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.

Interview: Paulo Sampaio, Data Scientist at EDITED

I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.

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.