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AI That Works: How Google Cloud Delivers Impact

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Manage episode 496102972 series 3321523
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI adoption is shifting from proof-of-concept to enterprise execution, and Google Cloud is helping organizations turn ambition into measurable outcomes through clarity, customization, and speed to value. In this episode, Riyaz Habibbhai, Director of Product Marketing at Google Cloud, outlines why simplicity, security, and strategic alignment are essential for scalable AI, and how platforms like AgentSpace enable companies to deploy and manage intelligent agents across workflows in one place. He explains how Google’s vertically integrated stack—from TPUs and GPUs to Vertex AI—gives customers the flexibility to combine proprietary and open-source tools, fitting AI into unique workflows rather than forcing a one-size-fits-all approach. You’ll hear how industries are seeing clear ROI in customer service and software development and why the real opportunity lies in customizing AI for specific business contexts, whether in logistics, manufacturing, or financial operations. Riyaz also shares why product marketers and business leaders need to actively use AI to communicate its value effectively, turning great products into clear, compelling stories that drive adoption. Tune in for a thoughtful, pragmatic look at how Google Cloud is helping companies move from AI experimentation to orchestration at scale, making AI a core business capability that delivers real impact.

#AIProductMarketing #GoogleCloud #AgentOrchestration #EnterpriseAI #AIInnovation #AgentSpace #AIatScale #CustomAI #AIIntegration #TechLeadership #AIinBusiness #AIAdoption #GenerativeAI #CustomerEngagement #AIWorkflow #AIandCreativity

  continue reading

123 episodes

Artwork
iconShare
 
Manage episode 496102972 series 3321523
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI adoption is shifting from proof-of-concept to enterprise execution, and Google Cloud is helping organizations turn ambition into measurable outcomes through clarity, customization, and speed to value. In this episode, Riyaz Habibbhai, Director of Product Marketing at Google Cloud, outlines why simplicity, security, and strategic alignment are essential for scalable AI, and how platforms like AgentSpace enable companies to deploy and manage intelligent agents across workflows in one place. He explains how Google’s vertically integrated stack—from TPUs and GPUs to Vertex AI—gives customers the flexibility to combine proprietary and open-source tools, fitting AI into unique workflows rather than forcing a one-size-fits-all approach. You’ll hear how industries are seeing clear ROI in customer service and software development and why the real opportunity lies in customizing AI for specific business contexts, whether in logistics, manufacturing, or financial operations. Riyaz also shares why product marketers and business leaders need to actively use AI to communicate its value effectively, turning great products into clear, compelling stories that drive adoption. Tune in for a thoughtful, pragmatic look at how Google Cloud is helping companies move from AI experimentation to orchestration at scale, making AI a core business capability that delivers real impact.

#AIProductMarketing #GoogleCloud #AgentOrchestration #EnterpriseAI #AIInnovation #AgentSpace #AIatScale #CustomAI #AIIntegration #TechLeadership #AIinBusiness #AIAdoption #GenerativeAI #CustomerEngagement #AIWorkflow #AIandCreativity

  continue reading

123 episodes

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