Description

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: 

• IBM customers assess the performance of AI agents 

• IBM to buy open source data platform and AI vendor DataStax 

• IBM targets agentic AI orchestration