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Inevitably Transhuman - Human Nature’s Momentum Beyond Itself - with Neuroscientist and Philosopher Nayef Al-Rodhan

Artificial Intelligence in Industry with Daniel Faggella

Release Date: 06/07/2015

A Framework for Long-Term and Near-Term AI ROI - With David Carmona of Microsoft show art A Framework for Long-Term and Near-Term AI ROI - With David Carmona of Microsoft

Artificial Intelligence in Industry with Daniel Faggella

This week, we spoke with David Carmona, the GM of Artificial Intelligence at Microsoft, about his approach to AI ROI with the enterprise clients of Microsoft. The biggest takeaway from this episode comes right at the beginning. David talks about how to think about artificial intelligence ROI in the long-term and the near-term. That is to say, how are we going to see a relatively near-term return with AI that might be able to improve our condition while keeping in mind the longer-term disruption in our industry?

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Bonus Episode: Electrical Considerations for Artificial Intelligence Solutions - With Robert Gendron of Vicor show art Bonus Episode: Electrical Considerations for Artificial Intelligence Solutions - With Robert Gendron of Vicor

Artificial Intelligence in Industry with Daniel Faggella

It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change. GPUs and AI hardware are tremendously power-intensive, and this week we speak with Robert Gendron of Vicor Corporation, a company focused on powering AI systems. Vicor is in partnership with Kisaco Research, which is putting on the 2019 AI Hardware Summit September 17 and 18 in Mountain...

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Bonus Episode: Software Defined Compute - Possibilities and Advantages in Machine Learning - With Jonathan Ross, CEO and Founder at Groq show art Bonus Episode: Software Defined Compute - Possibilities and Advantages in Machine Learning - With Jonathan Ross, CEO and Founder at Groq

Artificial Intelligence in Industry with Daniel Faggella

This week, we have a bonus episode.  We spoke with Jonathan Ross, CEO and founder of Groq, an AI hardware company, about software defined compute. Groq is in partnership with the AI Hardware Summit happening n Mountain View, California on September 17 and 18.  Software defined compute is a way of thinking about how compute can be optimized for machine learning functions. Ross talks about some of the pros and cons of GPUs and where software defined computer might make its way into future machine learning applications.

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Pitfalls to Avoid for the ROI of AI - With Dr. Charles Martin of Calculation Consulting show art Pitfalls to Avoid for the ROI of AI - With Dr. Charles Martin of Calculation Consulting

Artificial Intelligence in Industry with Daniel Faggella

This week, we speak with Dr. Charles Martin of Calculation Consulting. He's a bit of a mentor of mine when it comes to AI knowledge. Charles speaks to us about the pitfalls in getting to ROI, particularly the cultural elements within enterprises that make it so hard to get a return from AI projects. Charles and I tend to go off in a variety of directions when we talk—he's an animated guy—so be prepared for that. But I think this is an awfully fun episode of the podcast. For more on the fundamentals of getting started with AI in business, learn more about our newest report: Getting Started...

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Bonus Episode: Processing AI at the Edge - Use-Cases and AI Hardware Considerations - With Moe Tanabian of Microsoft show art Bonus Episode: Processing AI at the Edge - Use-Cases and AI Hardware Considerations - With Moe Tanabian of Microsoft

Artificial Intelligence in Industry with Daniel Faggella

We have a bonus episode this week. We spoke to Moe Tanabian, General Manager of Intelligent Devices at Microsoft, who is speaking at the AI Hardware Summit in Mountain View, California on September 17 and 18. Tanabian discusses how to think about and reframe business problems to make them more accessible for AI, as well as AI at the edge, which involves doing AI processing on individual devices rather than in the cloud. The edge could open up new potential for business problems to be solved with AI. Tanabian also provides representative use cases of intelligent devices.

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How to Measure the ROI of AI - With Sankar Narayanan of Fractal Analytics show art How to Measure the ROI of AI - With Sankar Narayanan of Fractal Analytics

Artificial Intelligence in Industry with Daniel Faggella

This month, we focus on the ROI of AI, and our guest this week is Sankar Narayanan, Chief Practice Officer at Fractal Analytics, a global AI & analytics firm headquartered in New York City. In this episode, Narayanan discusses how to measure the ROI of AI in ways that aren't just financial return. In addition, he provides examples from his hands-on experience implementing AI to provide business leaders with ways of thinking about success when it comes to AI projects. For more on measuring the ROI of AI, learn about our newest report Getting Started With AI: Proven Best Practices of AI...

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Getting Started with AI, Best-Practices - With Daniel Faggella of Emerj show art Getting Started with AI, Best-Practices - With Daniel Faggella of Emerj

Artificial Intelligence in Industry with Daniel Faggella

This is the final episode in the month-long series on getting started with AI. In this episode, Emerj CEO Daniel Faggella breaks down the key insights from all four of this month's interviews, distilling them into core best-practices for getting started with artificial intelligence in business. In addition, Daniel discusses insights from our newest report: Getting Started with AI: Proven Best-Practices for AI Adoption

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Misconceptions About AI Adoption, and How to Overcome Them - with Jan Kautz of NVIDIA show art Misconceptions About AI Adoption, and How to Overcome Them - with Jan Kautz of NVIDIA

Artificial Intelligence in Industry with Daniel Faggella

This week we interview Jan Kautz, Vice President of Learning and Perception Research at NVIDIA. Kautz talks about what people underestimate when they start an AI initiative. In addition, he emphasizes the critical value of data storage. Kautz dives into the importance of getting started with an AI project when you already have a barometer of success. Essentially, he talks about why it's important to select a first AI project in an area where you already have a way of measuring success. Learn more about AI adoption in our full report, Getting Started With AI: Proven Best Practices for AI...

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Scaling AI Best-Practices in the Enterprise - with Jan Neumann of Comcast show art Scaling AI Best-Practices in the Enterprise - with Jan Neumann of Comcast

Artificial Intelligence in Industry with Daniel Faggella

This week, we speak with Jan Neumann, Senior Director of Applied AI Research at Comcast. Comcast is an enormous company; it has lots of data, lots of application areas for AI, and a lot of opportunity for confusion about AI. As such, Neumann speaks with us about scaling AI expertise in the enterprise. Neumann talks about a very strong distinction between software and AI and how to think through problems to determine whether or not it's a software problem or an AI problem. He also talks about scaling the problem-solving abilities of business experts in the organization. Lastly, Neumann talks...

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Critical Questions to Ask Before Adopting Artificial Intelligence - With David Carmona of Microsoft show art Critical Questions to Ask Before Adopting Artificial Intelligence - With David Carmona of Microsoft

Artificial Intelligence in Industry with Daniel Faggella

This week we speak with David Carmona, General Manager of AI at Microsoft. Carmona discusses how redefining a business process is a very different kind of AI adoption project than working on something that is horizontal. He discusses how to attack both of these scenarios, which to handle first, and why.  In addition, Carmona talks about proprietary data and things that are close to your own IP. How do you take advantage of the real strategic data value within your own organization? How should you be thinking about that differently? Carmona poses three different questions to determine...

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Dr. Al-Rodhan spent decades studying the human mind, and it helped him form a theory of humanity, its nature, and its technological future. Namely, that our very nature will inevitably bring us to go beyond nature - not merely in the extension of our capacities through devices - but through a literal enhancement and extension of our bodies and minds.

 

In his belief, human beings are emotional creatures with a moral compass that exists for their own egotistical needs. Our desire for power, profit, pleasure, pride and permanency - says Neyef - will drive us beyond the bounds of our physical condition, and it's the role of governments (not corporations) to regulate that process of enhancement and experimentation for the good of humanity. If you're interested in human motivation and the next 20 years of enhancement technology, this is an interview you won't want to miss.