INTELLIGENT AUTOMATION RADIO

Are you passionate about using automation to digitally transform how work gets done, and improve people’s lives?  Do you have valuable insights on how enterprises can increase productivity by automating away repetitive, time-consuming, error-prone tasks?  Then our audience would love to hear from you!

Intelligent automation radio is THE #1 PODCAST for IT executives seeking insights on the impact and opportunities for innovation that automation is delivering to businesses around the world. Featuring thought leaders in AI, machine learning, orchestration and automation.

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Podcast episodes

We publish new episodes bi-weekly, providing a great opportunity to share your knowledge with our tens of thousands of listeners, & establish yourself as a thought leader in the world of digital transformation.

Intelligent Automation Radio

Episode #15: Leveraging Predictive Analytics to Transform IT from Reactive to Proactive – Business Data Leadership’s Theresa Kushner

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.

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Intelligent Automation Radio

Episode #14: How Automation Can Reduce the Risks of Cyber Security Threats – Toast’s Naor Penso

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.

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Intelligent Automation Radio

Episode #12: How Cognitive Digital Twins May Soon Impact Everything – Accenture’s Dr. Ahmed El Adl

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.

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