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Three AI Insights from the First Three Episodes of “More Intelligent Tomorrow,” a DataRobot Podcast

September 8, 2020
· 2 min read

The first three episodes of More Intelligent Tomorrow, an exploratory AI podcast featuring conversations with experts and thought leaders across industries, are live. You can find the full-length audio wherever you listen to podcasts and the shorter video versions here on our site. The initial conversations with these AI movers and shakers have brought up a wide array of topics: everything from autonomous war to J.A.R.V.I.S. to accidental illegal car dealing. 

Listeners of More Intelligent Tomorrow will get a peek behind the curtain into some of the most pressing and controversial issues facing AI innovators today. In co-host Ari Kaplan’s words, “By bringing together some of the industry’s most thoughtful and innovative leaders, we’re hoping to demystify this powerful technology and inspire our listeners to transform their own AI destiny.”

It’s hard to choose just one takeaway from each episode, but below are some of the highlights. 

1. You have to pin the rose on someone. 

Advancement of any kind doesn’t happen by accident; if your organization is committed to staying at the forefront of advancements in artificial intelligence, you’d better be sure that there’s someone whose job it is to monitor what’s happening in the industry. Michael Kanaan, author of the new book T-Minus AI, said, “You have to pin the rose on somebody to evangelize a charge. You have to inspire other people to pay attention to it.” 

In the discussion, Michael also touched on autonomous war, Black Mirror, and the inevitable inflection point of AI. 

2. AI — just like medicine — has to be people-first.

Dr. Zain Khapley knows a thing or two about humanizing processes that can easily feel sterile. As Chief of Cardiothoracic Surgery, Chief Medical Artificial Intelligence Officer, and Director of Heart & Vascular Institute at Northwest Medical Center, he makes a point to discuss a patient’s life and family with his team pre-surgery so they remember what’s at stake. “[In surgery], if you don’t do it right, the stakes are high. You don’t pressure yourself to paralysis. You pressure yourself to innovate, to do better.”

He said that a similar mindset applies to the technological innovations his teams pursue—it’s all about the humans on the other side of the processes. 

3. Know when to hide your AI in the background.

No, we’re not talking about black box algorithms and shady ethics. We’re talking about knowing when to highlight your AI’s tech specs, and knowing when to let the solution speak for itself in terms of business value. Tyler Hall, CEO of Drivably, described how he pitched his company’s platform to early design partners not by presenting not how the tech creates a solution, but how the solution leads to business impact. 

Listen to the full audio of each episode:

About the author

Value-Driven AI

DataRobot is the leader in Value-Driven AI – a unique and collaborative approach to AI that combines our open AI platform, deep AI expertise and broad use-case implementation to improve how customers run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with your existing investments in data, applications and business processes, and can be deployed on-prem or in any cloud environment. DataRobot and our partners have a decade of world-class AI expertise collaborating with AI teams (data scientists, business and IT), removing common blockers and developing best practices to successfully navigate projects that result in faster time to value, increased revenue and reduced costs. DataRobot customers include 40% of the Fortune 50, 8 of top 10 US banks, 7 of the top 10 pharmaceutical companies, 7 of the top 10 telcos, 5 of top 10 global manufacturers.

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