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.
Yao Morin on trust, AI world models and the future of commercial property
Between Worlds
26 minutes 32 seconds
1 year ago
Yao Morin on trust, AI world models and the future of commercial property
On a recent trip to Toronto, I caught up with Yao Morin, the global CTO of JLL, a commercial real estate company. We discussed JLL's early adoption of generative AI technology, despite the real estate industry's traditionally conservative approach to new technologies. Yao explained how JLL has implemented AI tools like JLLGPT to process vast amounts of unstructured data in multiple languages, making it easier for employees to access and utilize information from contracts, research reports, and other documents.
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.
