Data Science

Machine learning, AI, cognitive computing, natural language understanding, image recognition, pattern matching, autonomous devices – these are just a few of 2017’s loosely defined catchall phrases. But in practice, they each refer to a significant field of study that is guaranteed to have an impact on the way people live and how business is done. So here are five things that you, as the leader of an organization that is singularly focused on creating shareholder value (however you define it), need to know ... Continue Reading →

Before qualifying for assistance under the Universal Minimum Guaranteed Income Program Act of 2021 (also known as the “U-Min” bill, which guarantees workers displaced by robots a living wage), Joe was a CPA and a tax auditing partner at a Big Four accounting firm. Continue Reading →

Are robots coming for your job? What jobs will AI take last. Shelly Palmer talks about the future of work on Fox 5 NY with Teresa Priolo and Antwan Lewis. Original Airdate: March 7, 2017 Continue Reading →

What white-collar jobs will machine learning take first? The answers may surprise you. Shelly Palmer talks with Teresa Priolo and Antwan Lewis on Fox 5. Original Airdate: February 28, 2017 Continue Reading →

The phrase “digital transformation” is so overused that it may be on the brink of its own transformation from a business imperative to a hackneyed refrain. Clichés aside, digital transformation "is" a business imperative and time is the enemy. So, let’s have a look at seven brain-busting steps that will enable you to create value in your organization through digital transformation. Continue Reading →

If you let your imagination run wild in the world of automatic speech recognition (ASR) and natural language understanding (NLU), and you throw in a little fear, uncertainty and doubt (FUD), you can come up with several illegal uses for systems such as Alexa Voice Service, Google Home, Siri, and Cortana that will give you pause. Just for fun, let’s play pretend in our world of infinite possibilities. Continue Reading →

The superstar of CES® 2017 was not a car, or a robot, or even a TV; it was Alexa Voice Service (AVS), the software that allows you to control compatible devices with your voice. Various reports estimated there were 700–1,100 Alexa-controllable products at the show. I can't verify the number, but "and it works with Alexa" was the running gag at CES. The familiar Amazon/Alexa logo seemed to be everywhere. Continue Reading →

Shelly Palmer talks about the technology required for WestWorld to be real with Teresa Priolo and Antwan Lewin on Fox 5 NY. Original Airdate: December 6, 2016 Continue Reading →

Because the velocity of data is increasing and will always increase, the need for data literacy is increasing and will always increase. This does not mean that to be successful executive you have to become a data scientist -- quite the contrary. It means that in order to be a successful executive, you need to understand how data is turned into action, be familiar with the methods of data science and data scientific research, and be able to think strategically about how to use data to create value for your business. All other things being equal, there is a significant difference between being literate and being fluent. Continue Reading →

Tay is a combination chatbot and AI system designed by Microsoft to "engage and entertain people where they connect with each other online through casual and playful conversation." It was specifically "targeted at 18 to 24 year olds in the U.S., the dominant users of mobile social chat services in the U.S." If the words "designed" and "targeted" are off-putting, then you're really not going to care for one of the system's recent, now infamous, tweets ... but, there is much, much more to learn from Microsoft's mistake. Continue Reading →