Intelligent Automation Radio

In this episode, we’ll learn that whatever jobs are lost due to digital transformation will be more than replenished by new positions including many that don’t currently exist, why every business that wants to remain viable must become a digital business, and how a college student studying art history might be just as qualified to become an AI expert as a computer science major.

In this episode, Theresa Kushner share with us some of the unexpected ways predictive analytics can be used, how a new occupation called “Business Scientist” might be the key to alleviating the drastic shortage of data scientists, and what the single most unrealistic expectation is plaguing the field of predictive analytics.

In this episode, Naor breaks down for us why cyber security professionals should view automation as an asset in their never-ending struggle against bad actors, what metrics IT security executives should focus on when evaluating the effectiveness of automating security operations, and why automation is one of only two realistic ways to mitigate the cyber security talent shortage.

In this episode, Matt shares some of the fascinating use cases he’s seen companies deploy, as well as where he thinks conversational AI will go over the next 3-5 years.

In this episode, Dr. Ahmed El Adl shares his far-reaching insights with us, and clarifies whether AI will ultimately have a bigger impact as a tool for automation or worker augmentation, whether machine learning will ultimately eliminate the need for data science altogether, and the most important background to consider when hiring an AI professional.

In this episode, Dave shares his insights about the most powerful tool for succeeding with automation in your enterprise.