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What Democratising AI Actually Means
Manage episode 507277497 series 2926374
Everyone is talking about "democratising AI," but what does it actually take to move this powerful technology from the hands of a few tech giants into the core of everyday enterprise operations? While individual AI usage is high, businesses are still struggling to move beyond experiments to monetisation at scale.
Prem Pavan, General Manager for Southeast Asia and Korea at Red Hat, joins us to discuss this critical challenge.
We discuss:
* What "democratising AI" really means for businesses on the ground.
* The key challenge: moving from proofs of concept to monetising AI at scale.
* The crucial role of open source in making new technologies enterprise-ready.
* The future of AI, including the rise of data sovereignty and agentic AI.
For CIOs, CTOs, and enterprise architects, this is an exploration into the open-source and hybrid cloud strategies needed to win in the era of AI.
Image Credit: Shutterstock
See omnystudio.com/listener for privacy information.
3764 episodes
Manage episode 507277497 series 2926374
Everyone is talking about "democratising AI," but what does it actually take to move this powerful technology from the hands of a few tech giants into the core of everyday enterprise operations? While individual AI usage is high, businesses are still struggling to move beyond experiments to monetisation at scale.
Prem Pavan, General Manager for Southeast Asia and Korea at Red Hat, joins us to discuss this critical challenge.
We discuss:
* What "democratising AI" really means for businesses on the ground.
* The key challenge: moving from proofs of concept to monetising AI at scale.
* The crucial role of open source in making new technologies enterprise-ready.
* The future of AI, including the rise of data sovereignty and agentic AI.
For CIOs, CTOs, and enterprise architects, this is an exploration into the open-source and hybrid cloud strategies needed to win in the era of AI.
Image Credit: Shutterstock
See omnystudio.com/listener for privacy information.
3764 episodes
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