The most valuable commodity on earth today is data. How we make it, use it, move it & protect it. Join David McCall as he invites guests from all industries to talk about how they use data to drive their business & innovation in their market.
Adam Knobloch; Episode 144
You and I generate or manipulate data every ten minutes – that’s at least 96 times a day. And the movie, spreadsheet, TikTok, Tele-med, or whatever we interact with – lives in someone’s data center. That makes datacenters the most important part of your world that you never knew existed. Which is why I invited my good friend Adam Knobloch to come help us understand more of this hidden world. Join us for a great conversation – on the next QTS Experience.
Dr. Anna Erickson; Episode 143
One of the most important conversations we can be having today is energy. What type should we use? Its impact on the environment, the economy, its impact on politics, on our independence, and nuclear energy sits right in the middle of that discussion. Fair or unfair, it generates the most controversy.
But should it? Silicon Valley is betting on the future of nuclear energy. Our entire naval fleet runs on nuclear energy. NASA has even sent probes to space with nuclear energy. So with that in mind, I invited Dr. Anna Erickson to come and help us to understand what the conversation is about. Anna is the Associate Chair for Research and a Woodruff Professor at Georgia Tech.
She received both her M.S. and Ph.D. from M.I.T. and has spent her entire adult life in the heart of this discussion. It's an important and compelling conversation. So join me as I host Dr. Anna Erickson, as we discuss the potential and the risks of one of the most controversial discussions you can have today, nuclear energy.
About Our Guest
Anna Erickson is a Woodruff Professor at the Georgia Institute of Technology and group leader focused on creating and navigating projects in advanced nuclear reactor design, nuclear security, data analysis and machine learning. She is also the Director of the Consortium for Enabling Technologies and Innovation and a member of the Board of Directors for the American Nuclear Society. She is a strategy leader for problem formulation and execution and is an effective communicator at international conferences and invited seminars.
Phillip Koblence & Nabeel Mahmood; Episode 142
My conversation this week is with the original Digital nomads Nabeel Mahmood and Phil Koblence, the founders of The Nomad Futurist Foundation and Podcast. In this quick conversation we discuss how the coding within the U.S. Emergency alert system may have tremendous flaws, the emerging AI within Fintech, and the good work The Nomad Futurist Foundation is attempting to accomplish. Please, enjoy the conversation – on this week's episode of The QTS Experience Podcast.
About Our Guests
Phillip Koblence co-founded NYI (www.nyi.net) in 1996. Since then, he has successfully navigated through an ever-shifting infrastructure landscape and grown the company from a single data center in Lower Manhattan to a robust network with executional capabilities in key national and international markets. His leadership over a span of more than twenty years has positioned NYI as a leader in hybrid infrastructure solutions. Part of NYI’s success is due to the strong emphasis placed on building lasting relationships with clients. Through this focus on customer experience, and an ability to cut through complexity and hype, NYI has set the bar in the industry for high-touch infrastructure solutions. Phillip is a frequent speaker at industry events and has been profiled by Data Center Knowledge, TheWHIR, MSPMentor, and NJ BIZ. He has also contributed to CRN and NJ Business Magazine. He is a graduate of the University of Pennsylvania, with an engineering degree.
Nabeel Mahmood is a Technologist, Futurist, and a Keynote Speaker. His career is driven by one question – what’s next? He is passionate about the power of technology to deliver competitive and transformational change and the need to develop digital leadership that will create the enterprise of the future. He believes strongly in simplification, with a purpose.
Nabeel brings 20 plus years of experience leading large-scale global technology organizations through seasons of explosive growth via M&A, global expansion, implementing new business models, and technology innovation. His expertise include leading organizations through transformation changes, connecting IT to the needs of the business, technology innovation, Big Data, Cloud, ERP, IoT, AI, ML, RPA, Mobility, and Data Centers. He brings a unique blend of experiences spanning the entire breadth of technology from Grid to Chip. At heart he’s a true technologist and futurist, he is a proven strategist, winsome communicator, and leader with extraordinary vision and operational expertise within large, complex organizations.
Nabeel is a strategic CXO identifying opportunities that are being underpinned by emerging technologies and is an advisor to CIO’s, CTO’s and CEO’s across a number of industries. He servers on multiple boards of private and publicly traded companies, including United Security Bank.
Sergey Plis; Episode 141
It's impossible to have a conversation about A.I. or machine learning without also talking about neural networks. The thing is, most of us think we know what it is, and some of us have an opinion on what machine learning is. But very few people actually know what a neural network is; why it matters? Do these networks evolve like the human brain? What are the ethical implications of building an infrastructure like that? Are they secure? My conversation today is with Sergey Plis, a professor of computer science at Georgia State University and the director of Machine Learning at the Center for Translational Research in Neuro Imaging and Data Science (TReNDS). He and his collaborators received funding recently from the NSF and the New Age to study casual connections in the brain. Obviously, Sergey likes to keep things busy. Please enjoy this incredible and fascinating conversation on this week's episode of The QTS Experience Podcast.
About Our Guest
As an Associate Professor of Computer Science and a Director of Machine Learning at the Center for Translational Research in Neuroimaging & Data Science, I like to keep things busy. Probably for that reason, I have three kids, two cats and a dog. I travel often, moved a few times recently, and have painted rooms and houses everywhere I go.
My research focuses on developing computational instruments that enable knowledge extraction from observational multimodal data collected at different temporal and spatial scales. I believe we can provide the neuroimaging community with a more robust, reliable understanding of directed connectivity in the brain.
We can’t just poke around in living human brain to see how it works. I and my collaborators are honored to have received $1.3 million from the National Science Foundation and the National Institutes of Health (NIH), to study causal connections in the brain. Here are only a few of my other accomplishments:
Published one of the first demonstrations of the versatile potential of deep learning methods for the field in 2013 and since then my group developed a number of deep learning approaches to neuroimaging.
Developed the theories in complex time series including a number of algorithms creating a new subarea in causal research.
Developed efficient algorithms for matrix factorization.
Enabled research on federated datasets with a focus on preserving privacy, inspiring a project for creating a framework to enable research on decentralized data.
Elizabeth Hoemeke, Episode 140
Imagine you’ve been devastated by a catastrophic weather event. If you’ve experienced or survived something like this in your life time you know how hard it is to be made whole and the impact on the entire community. Obviously restoring humans to physical and emotional health is goal one – but part of that is restoring our homes, our lives. My guest this week is Elizabeth Hoemeke. Her mission is leveraging IoT, Machine Learning, AI, and other Tech to come alongside and help us restore ourselves and our communities quicker. She is currently the CIO of a FinTech Startup and has executive leadership roles in banking, big data, privacy, and others. You’re really going to enjoy this conversation and Elizabeth in particular – one of my favorite people. Please join me for the conversation on the Next QTS Experience.
Steven Beckwith; Episode 139
In my normal life, I talk about the edge, edge compute, edge networking, smart devices; you know, the edge. When Professor Steve Beckwith talks about the edge, he's considering the universe. Professor Beckwith joins me this week for an incredible conversation on how AI and machine learning through tools like the Web and Hubble telescopes are informing us about the universe and all the gory, catastrophic, beautiful and fascinating stories it has to tell us.
It informs the world we live in today, the potential impact of technology as it's evolving. Professor Beckwith should know. He is currently the director of the Space Sciences Laboratory at Berkeley and has previously served as the director of many other similar institutions here in the States and internationally, including as the Vice President for research and graduate studies for the ten campus University of California system.
About Our Guest
Steven Beckwith is a Professor of Astronomy at the University of California, Berkeley. His 40-year research career spans a many interests including the formation and early evolution of extra-solar planetary systems, the evolution of young stars, and the birth of galaxies in the early universe. In 2004, he led the team that created the Hubble Ultra Deep Field, the deepest visual image of the universe, resulting in the discovery of the most distant galaxies ever seen. He has published approximately 200 articles and won several international awards for his work. He lectures worldwide and advises organizations in the United States and Europe on research policy.He received his BS in Engineering Physics from Cornell University and his Ph.D. in Physics from the California Institute of Technology. He returned to Cornell in 1978 as an Assistant Professor of Astronomy and stayed on the faculty for 13 years. In 1991, he moved to Germany as Director of the Max-Planck-Institut für Astronomie in Heidelberg, directing the institute's scientific program and the German National Observatory in Spain. He returned to the United States in 1998 as the Director of the Space Telescope Science Institute in Baltimore, Maryland, where he was responsible for the science operations of the Hubble Space Telescope. He became the telescope's leading public spokesman after NASA announced in 2004 that it would no longer service the telescope, successfully advocating for its continued operation (NASA reversed its decision in 2006). After stepping down as Director, he became a Professor of Physics and Astronomy at Johns Hopkins University and a Distinguished Research Scientist at the Space Telescope Science Institute. In 2008, he was appointed Vice President for Research and Graduate Studies at the University of California systemwide office and a Professor of Astronomy at Berkeley. In July 2014, he left the Office of the President to resume his research at UC Berkeley.
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