Industry Embraces Agentic AI For Enterprise Automation

At day one of the AI & Big Data Expo and Intelligent Automation Conference, industry speakers including Amal Makwana (Citi), Meni Meller (Gigaspaces) and others highlighted the shift from passive RPA to agentic AI that reasons, plans, and executes across workflows, stressing governance and data quality. Panels from SAP, Datadog, Oxford Robotics and Equifax emphasized retrieval-augmented generation, cloud-native analytics, safety, observability, network infrastructure and cultural adoption as deployment prerequisites.
Key Points
- 1Describe shift to agentic AI that reasons, plans, and executes workflows across enterprises
- 2Emphasize need for governance and high-quality enterprise data to prevent non-deterministic failures
- 3Advise CIOs to invest in eRAG, semantic layers, observability, networks, and cultural adoption
Scoring Rationale
Strong industry relevance and practical guidance, limited novelty since it synthesizes conference perspectives rather than announcing new technology.
Sources
Public references used for this report.
Practice with real FinTech & Trading data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all FinTech & Trading problems

