SAS Chief Operating Officer Oliver Schabenberger - Ep. 88
SAS Chief Operating Officer Oliver Schabenberger spoke with us about how organizations can use AI and related technologies.

SAS Chief Operating Officer Oliver Schabenberger spoke with us about how organizations can use AI and related technologies.
The path to self driving vehicles is usually marked by six milestones, or levels, from level 0, or no automation, to level 5, or full autonomy. Jianxiong Xiao, CEO of of startup AutoX, has his sights set on level 4, defined by the National Highway Traffic Administration as “a car capable of performing all driving functions under certain conditions."
Sticky. Kind. Chronic. Reefer. Forget the dated slang. These days the word is ‘opportunity.’ The market for legal cannabis in the United States was estimated at $12 billion last year, up 30% year over year from 2017, and it’s projected to grow to $44 billion by 2020. Our guests this episode is Vincent Harkiewicz, is CEO and co-founder of Boulder, Colorado-based Grownetics, a startup that sits at the intersection of agtech, marjijuana, data analytics and artificial intelligence.
Tara Chklovski is CEO and founder of Iridescent, a non-profit that provides access to hands on learning opportunities to prepare underrepresented children and adults for the future of work. She’s been called everything from the “pioneer empowering the incredible tech girls of the future,” to a “CEO science superstar hero.” Tara is here to talk about a bunch of things, including the UN’s AI for Good Global Summit this May in Geneva, and the AI World Championship, part of the AI Family Challenge, ...
Good news: astronomers are getting new tools to let them see further, better than ever before. The bad news: they’ll soon be getting more data than humans can handle. To turn the vast quantities of data that will be pouring out of these instruments into world-changing scientific discoveries, Brant Robertson, a visiting professor at the Institute for Advanced Study in Princeton and an associate professor of astronomy at UC Santa Cruz, is turning to AI.
In 2015 today's guest penned an article called "Robot Propaganda" for Wired magazine. It contained this then bold prediction: "we are likely to see versions of these bots deployed on U.S. audiences as part of the 2016 presidential election campaigns." Well we all know how that turned out. Sean Gourley, founder and CEO of Primer, joined us to talk about bots, propaganda and fake news and how they relate to the work his own company is doing in natural language understanding and generation.
Robots can do amazing things. Compare even the most advanced robots to a three-year old, however, and they can come up short. UC Berkeley Professor Pieter Abbeel has pioneered the idea that deep learning could be the key to bridging that gap: creating robots that can learn how move through the world more fluidly and naturally. We caught up with Abbeel, who is director of the Berkeley Robot Learning Lab and cofounder of Covariant AI, a Bay Area company developing AI software that makes it easy to...
UC Berkeley's Gerry Zhang talks about his work using deep learning to analyze signals from space for signs of intelligent extraterrestrial civilizations. And while we haven't found aliens, yet, the doctoral student has already made some extraordinary discoveries.
Not sure who will win the NBA playoffs? Looking for coaching when putting together your fantasy football team? Swish Analytics uses AI to help you pick winners. Corey Beaumont, co-founder and head of engineering at the startup, explains how Swish Analytics takes the same kind of mathematical models lenders use to assess whether a borrower is a good risk and applies them to the $1 trillion sports betting market.
GOAT Group helps sneaker enthusiasts get their hands on authentic Air Jordans, Yeezys and a variety of old-school kicks with the help of AI. Michael Hall, director of data at GOAT Group explains how in a conversation with AI Podcast host Noah Kravitz.
You probably recognize the name Nuance from their work with speech recognition and virtual assistant technology. They’re one of the pioneers of voice recognition technology. Of course Nuance Communications has gotten into AI, but what you might not know is they’ve also gotten into using AI to chart the course of the healthcare industry and how physicians can use artificial intelligence to make people healthier and make their work better, Karen Holzberger is the vice president and general manager...
At some point in life, every man faces the same great challenge: sorting out his children's Lego pile. Thanks to GPU-driven deep learning, Francisco "Paco" Garcia is one of the few men who can say they've conquered it. Here's how.
You don't need to be an an academic or to work for a big company to get into deep learning. You can just be a guy with a NVIDIA GeForce 1080 Ti and a Generative Adversarial network. Jason Antic, who describes himself as "a software guy," began digging deep into GANS. Next thing you know: he’s created an increasingly popular tool that colors old black-and-white shots to make them look good. Interested in digging into AI for yourself? Listen and get inspired.
SoundHound made its name as music identification service. Since then, SoundHound has become much more. It's leveraged its 10 plus years in data analytics to create a voice recognition tool companies can bake into any product. Here to tell us how SoundHound has grown into a major player in voice driven Ai is SoundHoud VP of Product Marketing Mike Zagorsek.
With “Fake News” embedding itself into, well, our news, it’s become more important than ever to distinguish between content that is fake or authentic. That’s why Vagelis Papalexakis, a professor of computer science at the University of California, Riverside, developed an algorithm that detects fake news with 75 percent accuracy.
Voice recognition is one thing, creating natural sounding artificial voices is quite another. Lyrebird - a member of NVIDIA’s Inception startup program - uses deep learning to take this a step further, with a system that's able to listen to a human voices and generate speech that mimics the sound of the original, human, speaker. We spoke with Lyrebird co-founder Jose Solero about the benefits of this technology, and why he feels the need to educate the public about what's possible.
Dr. Kai-Fu Lee has been at the center of artificial intelligence for decades. dr. Lee developed the world's first speaker independent continuous speech recognition system, selected as the most important innovation of the year by BusinessWeek, and that was back in 1988. In the three decades since, Dr. Lee has led teams at Apple, Silicon Graphics, Microsoft and Google. In 2009 Dr. Lee left Google to start Sinovation Ventures, which now manages a $2 billion fund focusing on technology startups in C...
Intuit Senior Vice President and Chief Data Officer Ashok Srivastava on how the personal finance giant is using AI to help make us all smarter about our finances.
When you hear of AI and machine learning, it’s easy to think of technology companies leading the charge. Capital One is determined to change that. In a conversation with AI Podcast host Noah Kravitz, Nitzan Mekel, managing vice president of machine learning at Capital One, explained how the banking giant is integrating AI and machine learning into customer-facing applications such as fraud-monitoring and detection, call center operations and customer experience.
DOOM, of course, is foundational to 3D gaming. 3D gaming, of course, is foundational to GPUs. GPUs, of course, are foundational to deep learning, which is, now, thanks to a team of Italian researchers, two of whom we're bringing to you with this podcast, being used to make new levels for... DOOM.
What's a meme? And what makes a meme, dank? Today's guest is Lawrence Pierson, a PhD student in theoretical astrophysics at Stanford University, will answer these questions, and more. He's the author a paper detailing how he and a classmate built a neural network to generate memes. Some of them are even funny.
Robots following coded instructions to complete a task? Old school. Robots learning to do things by watching how humans do it? That’s the future. Earlier this year, Stanford’s Animesh Garg and Marynel Vázquez shared their research in a talk on “Generalizable Autonomy for Robotic Mobility and Manipulation” at the GPU Technology Conference last week. We caught up with them to learn more about generalizable autonomy - the idea that a robot should be able to observe human behavior, and learn to imit...
Any sufficiently advanced technology is indistinguishable from magic. As the years have passed what passed since the invention of the personal computer, what passes in the world of technology has changed dramatically. So what’s next? Voice computing is once answer. Voice computing is one of the hottest and most fascinating areas of today’s’ technology landscape. Peter Cahill is the CEO of Voysis, an Irish startup using AI to make voice computing more realistic, and a part of more online retail e...
Airport control towers are icons of the aviation industry. But a Canadian startup wants to use artificial intelligence to make them a relic of the past. Searidge Technologies believes AI powered video systems can do a better job.
Credit scores are a funny thing. Funny might not be the right word, but you know what we mean. You can't have a credit score unless you have a credit history. You have to use your credit to keep your score up, but if your score's not good enough, you can't get credit. But never fear, AI and machine learning are here to help. Our guest on this episode is Ajay Gopal, he's with Deserve, a startup that's using machine learning to extend credit to people who may not have a typical credit history.
NVIDIA researchers are gearing up to present 19 accepted papers and posters, seven of them during speaking sessions, at the annual Computer Vision and Pattern Recognition conference next week in Salt Lake City, Utah. Joining us to discuss some of what's being presented at CVPR, and to share his perspective on the world of deep learning and AI in general is one of the pillars of the computer science world, Bill Dally, chief scientist at NVIDIA.
Smarts are always in fashion, and our next guest has that in spades. Costa Colbert has been chasing down how brains — both real and artificial — work for 30 years. Dr. Colbert — who holds degrees in fields ranging from neural science to electrical engineering — is known for his studies of information transmission in pyramidal neurons of the mammalian hippocampus and neocortex. At MAD Street Den his team is putting modern deep learning techniques to work for retailers in a wide variety of ways — ...
NetFlix has changed the way we watch television for the better. The streaming video pioneer is much more than just an entertainment giant for the 21st century — it’s also a pioneer when it comes to using machine learning. While Justin Basilico, a research director with NetFlix, can’t share all the spoilers, he knows better than anyone how entertainment and machine learning intersect.
Think of it as like a USB port for your body. Emil Hewage is the co-founder and CEO at Cambridge Bio-Augmentation Systems, a neural engineering startup. They UK startup is building interfaces that use AI to help plug medical devices int our nervous systems. CBAS was named one of the top startups at Y Combinator’s Winter ‘17 cohort by TechCrunch and won the top prize with accelerator MassChallenge UK 2015.
Wayne Thompson was into big data, before big data was cool. Now the world — even much of our GPU Technology Conference — revolves around the kinds of challenges the 25-year veteran of analytics software developer SAS Institute has made a career of helping enterprises master. How did that happen? We asked Thomson, Chief Data Scientist of SAS Data Science Technologies to talk about the big data, big models, and big computations driving deep learning, and to give us some perspective about what make...