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IBM, agentic AI and the future of enterprise tools

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Manage episode 505327154 series 3493557
Content provided by Informa TechTarget. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Informa TechTarget 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.

As a legacy organization, IBM has long been a champion for open source, especially in the age of GenAI. In this episode of Targeting AI from Informa TechTarget, Bruno Aziza, vice president of data, AI and analytics at IBM, discusses how the vendor has had to rebrand and shift in the age of GenAI and agentic AI. Aziza shares insights on talent challenges, IBM's data strategy with Watson X, and the significance of customer-centric AI solutions.

Featuring: Bruno Aziza, vice president of data, AI and analytics at IBM

In today’s episode, we cover how:

  • The shift to agentic AI is crucial for modern enterprises.
  • Open source plays a vital role in AI development.
  • IBM focuses on enterprise AI, rather than consumer-facing solutions.
  • Talent scarcity is a significant challenge in AI innovation.
  • 99% of enterprise data remains untouched by AI.

To learn more about AI, open source, agentic AI, check out SearchEnterpriseAI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 505327154 series 3493557
Content provided by Informa TechTarget. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Informa TechTarget 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.

As a legacy organization, IBM has long been a champion for open source, especially in the age of GenAI. In this episode of Targeting AI from Informa TechTarget, Bruno Aziza, vice president of data, AI and analytics at IBM, discusses how the vendor has had to rebrand and shift in the age of GenAI and agentic AI. Aziza shares insights on talent challenges, IBM's data strategy with Watson X, and the significance of customer-centric AI solutions.

Featuring: Bruno Aziza, vice president of data, AI and analytics at IBM

In today’s episode, we cover how:

  • The shift to agentic AI is crucial for modern enterprises.
  • Open source plays a vital role in AI development.
  • IBM focuses on enterprise AI, rather than consumer-facing solutions.
  • Talent scarcity is a significant challenge in AI innovation.
  • 99% of enterprise data remains untouched by AI.

To learn more about AI, open source, agentic AI, check out SearchEnterpriseAI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

  continue reading

62 episodes

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