2026 & Beyond: Agentic Future in Finance @Databricks
2026 & Beyond: Agentic Future in Finance  @Databricks
Uploaded May 2026 | Updated September 2026, 2 weeks ago
Junta Nakai explores the “agentic future” of financial services, showing why success with AI goes beyond choosing the best model. Instead, it hinges on Contextual intelligence—the ability to harness and activate proprietary data to create real advantage. He frames the future around three critical questions: who will win the AI race, what risks must be managed, and what truly defines competitive edge. The key insight is clear: organizations that build AI that understand your business—grounded in secure, governed, and contextual enterprise data—will lead. Databricks enables this by unifying data and AI, turning insights into meaningful, business-specific outcomes.

Chapters-
00:00 - The Agentic Future in Financial Services
01:43 - Three Critical Questions for AI Strategy
05:31 - Shifting Paradigms: Human and AI Agents
08:12 - Assessing the Real Impact of AI on Revenue
09:22 - Building Competitive Advantage with Data Context
13:54 - Hypothetical Case Study: Detecting Fraud at Enron
20:07 - Five Pillars for Delivering Enterprise
2026 & Beyond: Agentic Future in FinanceIndustrial AI Machine Vision in Action with Databricks & CrosserIntroduction to Agent BricksLakehouse//RT, the real-time Lakehouse powered by Reyden — Reynold Xin, Co–founder & Chief ArchitectLTAP - Lake Transactional/Analytical Processing: a new data architecture that unifies OLAP and OLTPDatabricks Free Edition - The easiest way to learn & experiment with AILTAP Explained:  How Databricks Unifies OLTP and OLAPDatabricks CustomerLakeHow Suntory Turns Data into Faster Decisions with DatabricksDatabricks AI Functions: 3-5x cheaper than frontier modelsWhat’s coming next to Free EditionDario Amodei and Ali Ghodsi: Anthropic + Databricks, AI Agents in the Enterprise, AI Scaling Laws
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2026 & Beyond: Agentic Future in Finance

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