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.
AI Genomics. Is this the future of health? Jo Bhakdi
Between Worlds
45 minutes 40 seconds
4 years ago
AI Genomics. Is this the future of health? Jo Bhakdi
- What if within the span of the next decade, we could live for an additional ten years or more? A hundred years ago, advances in infection control and public health led to a near doubling of the human life span. For us to achieve a similar feat today, we will need more than just scientific breakthroughs. Despite the rise of AI, powerful computation platforms and new discoveries in genomics, there is still a gap between everyday medical practice and technological innovation.
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.
