Yes, the robots are definitely coming for the jobs of America’s 3.5 million cashiers.

Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation.

The ability to program computers is crucial to almost all modern scientific experiments, which often involve extremely complex calculations and massive amounts of data.

Even though most businesses have invested in quality management and performance improvement, each organization is unique. People, processes, and machines must be coordinated to achieve desired outcomes. This is not easy.

In this era of artificial intelligence, where bots can mimic human minds and outperform humans, a new-age process automation tool called “robotic process automation” (RPA) has been creating a lot of buzz.

These days, even regulatory agencies must innovate if they expect to keep pace with the speed of doing business. The U.S.

The Dec. 31, 2018 deadline looms for medical device companies that sell their devices in Canada.

One of the unique aspects of Finch Therapeutics is that although its product does not fall easily into any regulated category and thus is not FDA-approved, the company has been working closely with the agency for at least five years.

What a difference a year and a half make. In mid-2017, LNS Research coined the term “Quality 4.0” and published definitive research on the topic.