AI: ROI + Governance

Devoted to Solving Fortune 500's Top Data + AI Challenges

Providing Trust, Transparency and Targeted Networking in the disruptive technology space.

May 14-15 | New York

Recent Participants Include

(Full list of participants visible to Members only)

Speakers

Gaurav Malik

Gaurav Malik

CDO, Data Leader

Bank of NY

Sandeep Mehta

Sandeep Mehta

Chief Technology Officer

The Hartford

Kate Salottolo

Kate Salottolo

Global Head of AML
and Brand Risk Management

PayPal

Wally Koscielny

Wally Koscielny

Global Head of Controls Assessment, Senior Director

BNY Mellon

Santanu Sengupta

Santanu Sengupta

Global Head of Data and AI Products

Nomura

Natasha Pekelis

Natasha Pekelis

Head of AI/ML

Chicago Trading Company

Jeneia D. Campbell

Jeneia D. Campbell

ED, AI & ML Product Management & Digital Strategy

Goldman Sachs

Koby Rosenschein

Koby Rosenschein

Ex-Managing Director

Citadel

Shah Nawaz

Shah Nawaz

CTO/VP Digital Transformation & Engineering

Regeneron

Ash Dhupar

Ash Dhupar

Chief Data & Analytics Officer

Analog Devices

Jaydip Mukhopadhyay

Jaydip Mukhopadhyay, PhD

Global Head- Model Risk, AI/Gen AI-Internal Audit Group, VP

American Express

Praveen Kesani

Praveen Kesani

SVP, Head of Enterprise Fraud Management

City National Bank

Leo de Luna

Leo de Luna

Partner

Tribeca Venture Partners

Ravi Prasad

Ravi Prasad

Head, Global Data &
AI Platforms and Services

Visa

Mohammed Kamal

Mohammed Kamal

Venture Partner

Mendoza Ventures

Ankush Jain

Ankush Jain

Managing Director

Morgan Stanley

Raakhee Miller

Raakhee Miller

President, CPO, Technologies

Sieber Financial

Alex Golbin

Alex Golbin

Managing Director - Operations and Technology Transformation

Citi

Cristian Homescu

Cristian Homescu

Director, Portfolio Analytics,
Chief Investment Office

Bank of America

Manish Mathur

Manish Mathur

AI Transformation

JP Morgan

Sameer Vanodia

Sameer Vanodia

Head of Data Governance and Capabilities

BlackRock

Julia Bardmesser

Julia Bardmesser

Adjunct Professor

NYU Stern

Arijit Bhattacharya

Arijit Bhattacharya

Head of Data Governance

Northern Trust Asset Management

Zhiyong Zhang

Zhiyong Zhang

Deep Learning Institute Ambassador

NVIDIA Deep Learning Institute

Samantha Sprague

Samantha Sprague

Expert Architect - Data, Machine Learning, and Generative AI

Discover Financial

Yuri Cataldo

Yuri Cataldo

Research Scientist

Autodesk

Richa Singh

Richa Singh

Director, Portfolio Analytics,
Chief Investment Office

Lexington Partners

Ruben Falk

Ruben Falk

Head of Generartive AI & Machine Learning, CM

AWS

Valerie Nilsson

Valerie Nilsson

Strategy & Operations

Google

Joe Talik

Joe Talik

Digital Business Transformation Leader

Verizon

Balasubramaniam Iyer

Balasubramaniam Iyer

Global Lead, Data & AI Products

Nomura

Igor Rudychev

Igor Rudychev

Customer Data Strategy,
Partnerships, and Innovations

Johnson & Johnson

Yvonne Li

Yvonne Li

Chief Data and AI Officer

Starr Insurance

Christian J.P. Kristin

Christian J.P. Kristin

Partner

Nexxus Capital

Rose Chen

Rose Chen

Head of Innovation Investments & Partnerships

Wesco

Andy Mears

Andy Mears

SM- Manufacturing Engineering

Lockheed Martin

Mohit Jain, Ph.D.

Mohit Jain, Ph.D.

Head - Applied AI Center of Excellence

BNY

Kiran Malige

Kiran Malige

Head of Technology and Product

Fiserv

Day 1 - PANELS

Latest Advances in AI/ML for time series

+

This executive panel will explore the latest breakthroughs in AI and machine learning techniques tailored for large-scale time series analysis. Attendees will discover how cutting-edge algorithms can unlock predictive insights, enable proactive decision-making, and drive tangible business outcomes across multiple industries. We will also discuss best practices for managing data quality, streamlining model deployment, and integrating new solutions into existing analytics ecosystems.


Best Performing Enterprise AI Use Cases

+

This executive panel will highlight high-level AI initiatives that have delivered meaningful impact and measurable results across the enterprise. Attendees will gain strategic insights on how data-driven strategies streamline operations, improve customer engagement, and support long-term objectives. The conversation will also address governance, cross-functional collaboration, and outcome measurement to ensure that AI investments continue to deliver lasting value.


Functional AI Roles and Readiness

+

This executive panel will explore best practices for defining, structuring, and evolving specialized roles that guide AI initiatives within large organizations. Attendees will learn how to create synergy between business, technical, and strategic teams to scale AI projects effectively. We will also discuss solutions to skill gaps and readiness challenges, ensuring sustainable growth as AI capabilities expand.


AI User Risks and Vulnerabilities

+

This executive panel will explore the critical challenges of managing AI-related risks that directly affect end users. Experts will discuss potential vulnerabilities arising from AI interactions—from susceptibility to algorithmic bias and misinformation to cybersecurity threats—and provide strategies to safeguard user trust. Attendees will gain practical insights into developing robust risk management frameworks, enhancing user training programs, and implementing proactive monitoring systems to ensure that AI applications remain secure and ethically sound.


Human-AI Collaboration & Transformation

+

This executive panel will examine how organizations can harness the synergy between human expertise and AI-driven innovation to drive transformative change. Panelists will explore strategies for integrating AI tools into everyday workflows, reshaping job roles, and fostering a culture of continuous learning. Attendees will gain insights into best practices for achieving operational excellence, maintaining agile decision-making, and ensuring that the human-AI collaboration ultimately delivers enhanced productivity and innovation.


To Bot or Not: Identifying When AI Fits-And When It Doesn't

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This executive session will focus on the critical decision-making process of determining where AI can truly add value versus where human intervention remains indispensable. Experts will share frameworks and case studies to illustrate the benefits and limitations of AI integration, providing practical guidelines for assessing its fit within different business functions. Attendees will learn how to balance potential efficiency gains with risks, ensuring that AI deployments are both strategic and sustainable.


AI Governance and Compliance Readiness

+

This executive panel will examine the evolving regulatory landscape and the frameworks required to ensure AI governance and compliance at an enterprise level. Attendees will gain insights on best practices for developing clear policies, risk assessments, and accountability mechanisms that align with industry guidelines. We will also feature real-world examples of how to integrate these frameworks into every stage of the AI lifecycle, ultimately fostering trust, transparency, and responsible growth.


Driving Productivity and Growth with Your Workforce and AI

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This executive panel will explore how strategic integration of AI can empower your workforce to drive both productivity and sustainable growth. Panelists will discuss innovative approaches to augmenting human skills with AI capabilities, ensuring employees are supported with cutting-edge tools while remaining agile and creative. Attendees will gain actionable insights into aligning AI initiatives with workforce development, fostering a culture of innovation, and leveraging technology to unlock new revenue streams and competitive advantages.


ROI on AI; Determining Value, Capabilities and Costs

+

This executive panel will focus on how large organizations measure and maximize returns from AI initiatives while aligning new technologies with strategic objectives. Attendees will gain insights from real-world enterprise use cases demonstrating tangible operational efficiencies, cost savings, and improved decision-making. We will also address best practices for managing large-scale deployments, ensuring responsible adoption, and preparing for future advances in AI.


Revolutionizing Financial Services Operations with AI

+

This executive session will dive into how AI is transforming core functions across financial institutions, delivering streamlined operations, improved risk management, and enhanced customer experiences. Attendees will discover strategies for successfully deploying advanced technologies at scale, focusing on seamless integration, compliance, and sustained ROI. The discussion will also highlight best practices for monitoring performance, controlling costs, and continuously innovating in a dynamic regulatory environment.


Mitigating AI Risks with Employee Training & Upskilling

+

This executive panel will explore how robust training and upskilling programs can effectively mitigate the risks associated with AI, ensuring employees are equipped to handle new technologies responsibly and efficiently. Attendees will learn strategies to bridge skill gaps, foster a culture of continuous learning, and align workforce competencies with evolving AI deployments. The discussion will also highlight approaches for measuring the success of these initiatives and ensuring they remain adaptable in an ever-changing business environment.


Data Readiness for AI

+

This executive panel will center on the critical steps enterprises must take to prepare and manage their data effectively before deploying AI solutions. Attendees will learn best practices for ensuring data quality, governance, and scalability across complex organizations. The conversation will also showcase real-world successes in establishing robust data foundations, resulting in reliable insights, competitive advantages, and long-term success.

Location

BCI Summit is a private event.

Located in NYC/JC

Please contact your BCI representative for all venue details and address