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.
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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.
Building the digital biotech of the future with Dave Johnson, Chief Data and AI Officer at Moderna
Between Worlds
28 minutes 41 seconds
4 years ago
Building the digital biotech of the future with Dave Johnson, Chief Data and AI Officer at Moderna
Dave Johnson is Chief Data and Artificial Intelligence Officer at Moderna, where he is responsible for all enterprise data capabilities from data engineering, data integration, data science, and software engineering. Johnson holds a PhD in Information Physics and has over 15 years of experience in software engineering and data science. He has spent more than a decade working exclusively in enterprise pharma and biotech companies.
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.
