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Regulated industry AI
3 Tips for Setting and Managing Realistic Expectations for AI Projects  

3 Tips for Setting and Managing Realistic Expectations for AI Projects   This post is part of a series designed to help AI-interested regulated industry leaders overcome challenges to successful AI design. For more information, download Top Challenges to Designing AI

healthcare AI
Why Trusted AI Has to Matter in the Healthcare Industry

Why Trusted AI Has to Matter in the Healthcare Industry  Over the last few years, healthcare providers have increasingly offered telehealth appointments, managed digital transfers of medical records, and encouraged patients to take a more active role in monitoring their

Smart Manufacturing: Getting Value from IIoT (Industrial Internet of Things) Data

The Internet of Things (or IoT) has been hailed as the next big thing to revolutionize manufacturing. A series of sensors can be attached to manufacturing equipment to continuously measure machine status, output, temperature and other factors that influence production,

The Buzz on Blockchain

Last month, I attended Cleveland’s inaugural Blockland Solutions conference with the goal of wrapping my head around blockchain. This technology has the promise of disrupting the internet with a variety of applications ranging from financial transactions to media and digital

Data Ethics: The Role of Data Scientist as Cyber Steward

Facebook / Cambridge Analytics, the Equifax data breach, and political email hackings are just a few examples of the misuse of data and data ethics violations that are constantly making headlines. All except your most hardened hacker would agree that

How A Good Data Strategy Can Help With Compliance – A GDPR Case Study

What is GDPR? GDPR or General Data Protection Regulation is a set of rules governing the use of personal data. It goes into effect on May 25th, 2018. In the EU, GDPR replaces a multitude of laws, from the existing