
Scaling Enterprise AI Beyond the POC
Enterprise AI is easy to demonstrate. The real test begins when a promising POC meets production costs, security requirements, data movement, latency, and internal adoption.
Shimon Ben-David, CTO at WEKA, joins Amir to discuss the gap between experimenting with generative AI and operating it at scale. They explore how classical AI differs from generative AI, why production exposes problems that demos hide, and how companies with limited AI maturity can start building useful internal capability.
Practical Takeaways
• A successful POC proves that an outcome is possible. It does not prove that…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.