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.
Matt Hervey on navigating the legal implications of generative AI
Between Worlds
34 minutes 12 seconds
1 year ago
Matt Hervey on navigating the legal implications of generative AI
What are the new challenges that generative AI is creating for copyright law? In this episode, I speak with Matt Hervey, the head of AI law at Gowling, to explore the legal intricacies surrounding the creation of content and ideas by large language models. In our discussion, Matt sheds light on the complex landscape of AI ownership, highlighting the differences in legal frameworks across various jurisdictions, such as the UK, EU, and US.
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.
