#224 On AI for Deep Content Understanding with Zetta Cloud Chief Strategist George Bara

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8M ago 43:18

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George Bara, Founder and Chief Strategist of tech company Zetta Cloud, joins SlatorPod to talk about the nuances of AI technology and its applications in text analytics and multilingual data processing.

George shares insights from his career journey, including his tenure at SDL and RWS before co-founding Zetta Cloud, which focuses on building small, specialized language models rather than large, generalized ones.

The founder discusses the challenges and misconceptions clients have about AI, especially with the hype surrounding large language models (LLMs). George notes that many clients mistakenly believe LLMs can solve all their data processing needs instantly.

However, Zetta Cloud's approach allows their models to be more efficient, flexible, and deployable in customers' infrastructures, which is particularly valuable for clients in the public sector who prioritize data privacy.

George highlights the differences in AI adoption and expectations across various industries and regions. He observes that public sector clients often have a more advanced understanding of AI's capabilities compared to commercial clients.

The founder also discusses the importance of staying updated with the latest AI developments and how Zetta Cloud selectively integrates new technologies that align with their clients' needs.

George concludes by sharing his involvement in Romania's national AI strategy, stressing the importance of regulatory compliance and the potential for government grants and partnerships to drive AI innovation in Europe.

Chapters

1. Intro (00:00:00)

2. Career Journey and Co-founding Zetta Cloud (00:01:54)

3. Overview of Zetta Cloud (00:05:51)

4. Sales Cycle (00:10:22)

5. Managing Expectations Amid Hype (00:13:25)

6. Perceptions of AI Translation in the Market (00:15:35)

7. Limitations of Generative AI (00:18:10)

8. Emphasis on Product Development (00:21:22)

9. No-Code Customization (00:23:11)

10. Understanding AI Predictions vs. Technical Issues (00:26:57)

11. Issues with LLM Performance (00:28:23)

12. Multi-modal Capabilities (00:31:43)

13. Buyer Behavior Across Regions (00:34:14)

14. Importance of Security in AI Solutions (00:36:05)

15. Involvement in National AI Strategy (00:38:04)

16. Understanding AI Funding and Regulations in Europe (00:41:24)

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