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AI in Finance Summit Fall Brings Financial Services Leaders to Hoboken for the Next Wave of AI

Swati Pai By Swati Pai
7 Min Read

RE:WORK will bring the AI in Finance Summit Fall back to the W Hoboken on 21 and 22 October 2026, gathering senior AI, data, and financial services leaders to explore how artificial intelligence is reshaping banking, insurance, and investment management. The two day summit lands as financial institutions move from AI pilots toward enterprise scale deployment inside heavily regulated environments.

Key Highlights

  • AI in Finance Summit Fall takes place 21 and 22 October 2026 at the W Hoboken in New Jersey

  • Confirmed speakers include leaders from JPMorgan Chase, BNY Mellon, U.S. Bank, Mastercard, and American Express

  • Sessions cover agentic AI, explainable AI, fraud detection, and AI in trading and investment strategy

  • Designed for Chief AI Officers, Chief Data Officers, machine learning engineers, and financial technology executives

  • Registration is now open

Scaling AI Inside Regulated Finance

The summit’s premise is direct: financial institutions cannot deploy AI the way consumer technology companies do, because every model touches compliance, risk, and customer trust simultaneously. Across two days, executives, AI practitioners, data scientists, and machine learning engineers will dig into the operating models required to deploy AI responsibly inside banking, insurance, and investment management, a challenge that has also shaped events like the Money20/20 Europe agenda on fintech innovation.

Who Is Confirmed to Speak

Confirmed speakers include Biswa Sengupta, Chief AI Technologist for the LLM Suite within CDAO at JPMorgan Chase; Sal Marraccino, Divisional Chief Data Officer at BNY Mellon; Dhivya Nagasubramanian, Vice President of AI Transformation and Innovation at U.S. Bank; Karamjit Singh, Vice President of Artificial Intelligence at Mastercard; Jaydip Mukhopadhyay, Vice President of Data Science and Model Risk at American Express; and Nishit Dhilen Mehta, Vice President of Data Analytics at JPMorgan Chase. Additional participants come from the New York City Council and other financial institutions across the region.

What the Sessions Cover

The agenda spans agentic AI and autonomous finance, AI governance and regulation, explainable AI and trust in algorithmic decisions, generative AI for financial services, AI powered fraud detection, forecasting and scenario planning, and AI’s role in trading and investment strategy. Organizers describe the goal as helping practitioners move past isolated pilots toward measurable, enterprise scale return on investment, a theme that echoes the broader push toward institutional capital committing to digital infrastructure across financial markets this year.

The event runs at the W Hoboken, 225 River Street, giving financial services professionals from across the New York metropolitan region easy access without a Manhattan venue premium. Beyond the formal sessions, attendees get executive networking time and roundtable discussions with peers wrestling with the same regulatory and technical tradeoffs.

Why Financial Services Moves Differently

Banks and asset managers cannot treat AI deployment like a typical enterprise software rollout, since every model that touches a customer account or a trading decision inherits a layer of regulatory scrutiny that most industries never face. That constraint is exactly why an event built specifically for financial services, rather than a generic enterprise AI conference, has found an audience among practitioners at JPMorgan Chase, BNY Mellon, and Mastercard. The sessions are structured around what actually blocks deployment inside a bank: model risk sign off, explainability requirements, and the audit trail a regulator will eventually ask to see.

That focus places the summit alongside a broader wave of financial institutions publicly committing capital and headcount to AI infrastructure this year, a trend our own coverage of regulated financial infrastructure providers has tracked closely as compliance and technology increasingly move in lockstep rather than in tension.

Registration and Press Details

Registration for the AI in Finance Summit Fall is open now at the summit’s official registration page. The event is part of RE:WORK’s global series of AI events connecting enterprise leaders, researchers, and technology innovators. Media inquiries can be directed to hello@rework.co.

Frequently Asked Questions

What is the AI in Finance Summit Fall 2026 about?

The AI in Finance Summit Fall will gather leaders from AI, data, and financial services to discuss how artificial intelligence is transforming banking, insurance, and investment management.

When and where is the AI in Finance Summit taking place?

The summit will take place on 21 and 22 October 2026 at the W Hoboken in New Jersey.

Who are some of the confirmed speakers at the summit?

Confirmed speakers include leaders from major financial institutions like JPMorgan Chase, BNY Mellon, U.S. Bank, Mastercard, and American Express.

Why is deploying AI in finance different from other industries?

Deploying AI in finance is more complex because it involves compliance, risk, and customer trust, which are critical in heavily regulated environments.

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Swati Pai is a senior analyst at The Central Bulletin covering institutional crypto adoption, tokenised real-world assets, Ethereum ecosystem development, and the application of artificial intelligence in financial infrastructure. She tracks institutional flows into Bitcoin and Ethereum ETFs, analyses BlackRock, Fidelity, and sovereign fund positioning in digital assets, and reports on the growing tokenisation of bonds, commodities, and private equity. Swati focuses on the convergence of traditional finance and blockchain infrastructure, with particular attention to how ETF mechanics, custodial models, and on-chain yield protocols are reshaping institutional capital allocation. She cross-references TCB's proprietary ETF Absorption tracker and DeFi Pulse Index against SEC filings, Bloomberg institutional data, and DeFiLlama on-chain analytics for every article she publishes.