I recently caught up for a morning coffee with Charles Sansbury, CEO of Cloudera. We spoke about how AI is changing how leaders view data infrastructure and the significance of organizations capable of operating at exascale. Charles shared how his conversations with Fortune 50 companies have shifted from theoretical AI applications to practical concerns about return on investment, data quality, and infrastructure. A key part of this transition is the emerging trend of ‘private AI’ - targeted models trained on proprietary company data.
All content for Between Worlds is the property of Mike Walsh and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
I recently caught up for a morning coffee with Charles Sansbury, CEO of Cloudera. We spoke about how AI is changing how leaders view data infrastructure and the significance of organizations capable of operating at exascale. Charles shared how his conversations with Fortune 50 companies have shifted from theoretical AI applications to practical concerns about return on investment, data quality, and infrastructure. A key part of this transition is the emerging trend of ‘private AI’ - targeted models trained on proprietary company data.
Algorithms, AI and the alignment problem with Brian Christian
Between Worlds
56 minutes 43 seconds
4 years ago
Algorithms, AI and the alignment problem with Brian Christian
Brian Christian is one of my favorite writers on AI, with a unique perspective that is very much at the intersection of computer science and philosophy. He is the author of the acclaimed bestsellers ‘The Most Human Human’ and ‘Algorithms To Live By’, which have been translated into nineteen languages. A visiting scholar at the University of California, Berkeley, he lives in San Francisco. His latest book, and the subject of this interview, is ‘The Alignment Problem’.
Between Worlds
I recently caught up for a morning coffee with Charles Sansbury, CEO of Cloudera. We spoke about how AI is changing how leaders view data infrastructure and the significance of organizations capable of operating at exascale. Charles shared how his conversations with Fortune 50 companies have shifted from theoretical AI applications to practical concerns about return on investment, data quality, and infrastructure. A key part of this transition is the emerging trend of ‘private AI’ - targeted models trained on proprietary company data.
