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.
Pierre-Yves Calloc'h on AI-driven transformation and the future of consumer engagement
Between Worlds
39 minutes 7 seconds
1 year ago
Pierre-Yves Calloc'h on AI-driven transformation and the future of consumer engagement
I sat down with Pierre-Yves Calloc'h, Chief Digital Officer at Pernod Ricard, to discuss the company's journey in embracing AI, algorithms and automation to drive marketing effectiveness, sales performance, and consumer engagement. Pernod Ricard, known for its extensive portfolio of brands such as Absolut Vodka, Jameson, and Ballantine's, has been at the forefront of leveraging AI to make data-driven decisions and personalize consumer experiences.
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.
