Leveraging Data and AI

Devoted to Solving Fortune 500's Top Data Challenges

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

June 20-21 | New York

Participants Include

(Full list of participants visible to Members only)

Speakers

JoAnn Stonier

JoAnn Stonier

Fellow of Data and AI, Chief Data Officer

Mastercard

Dimitrios Tzimas

Dimitrios Tzimas, Ph.D.

Chief Security Architect

PayPal

Wally Koscielny

Wally Koscielny

Global Head of Engineering, CSAA, Senior Director

BNY Mellon

Santanu Sengupta

Santanu Sengupta

Global Head of Data and AI Products

Nomura

Ravi Prasad

Ravi Prasad

Head, Global Data &
AI Platforms and Services

Visa

Jesslyn Dymond

Jesslyn Dymond

Director of Data Ethics

Telus

Banu Venkat

Banu Venkat

Global Head of Payment Technology

Truist

Vijay Venkatesan

Vijay Venkatesan

Chief Analytics Officer

HBCBS

Jie Yu

Jie Yu

Head of Digital & Data Science

Johnson & Johnson

Cristian Homescu

Cristian Homescu

Director, Portfolio Analytics,
Chief Investment Office

Bank of America

Diego Baez

Diego Baez

Founder

BLOX

Manish Mathur

Manish Mathur

Director - Healthcare & Lifesciences

Google

Sameer Vanodia

Sameer Vanodia

Head of Data Governance and Capabilities

BlackRock

Saurabh Bhargava

Saurabh Bhargava

Executive Director

JP Morgan

Prashanth Jeganathen

Prashanth Jeganathen

Head of Data Science, MD, GWM

UBS

Rishiraj Pravahan

Rishiraj Pravahan

CoreML Product Manager

Google

Paul Cao

Paul Cao

Global Head, Enterprise Data Platform

Wells Fargo

Dr. Satyam Priyadarshy

Dr. Satyam Priyadarshy

Chief AI Officer, Chief Data Scientist

ex-Halliburton

Eiman Ebrahimi

Eiman Ebrahimi

CEO

Protopia

Meltem Ballan, Ph.D.

Meltem Ballan, Ph.D.

Executive Fellow of Data Science

ex-General Motors

Ashot Ordukhanyan

Ashot Ordukhanyan

Global Co-Head. Equities CRB

JP Morgan

Marcelo Casas

Marcelo Casas

Chief Data Science Officer

GM Financial

Steven E. Orr

Steven E. Orr

CEO

Quasar Markets

Sandeep Mehta

Sandeep Mehta

Chief Technology Officer

The Hartford

Zhiyong Zhang

Zhiyong Zhang

Deep Learning Institute Ambassador

NVIDIA, Stanford, Nasa

Wayne Filin-Matthews

Wayne Filin-Matthews

Chief Enterprise Architect

AstraZeneca

Day 1 - PANELS

1.

Data & AI Regulations, Risks and Controls

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Join us at the forefront of the data revolution as we dive into the complex world of AI governance! Uncover the latest strategies to navigate the intricate regulatory landscape and mitigate risks with industry leaders who are shaping the future of AI compliance. Gear up to arm yourself with cutting-edge insights that will fortify your data initiatives against the ever-evolving backdrop of global regulations and controls!


2.

Leading with Responsible AI

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The panel will explore the critical balance between harnessing the power of artificial intelligence and upholding ethical standards within large corporations. Discussions will delve into the challenges of implementing AI in ways that enhance business outcomes without compromising on transparency, accountability, and fairness. Executives will share strategies for navigating the evolving regulatory landscape, ensuring that AI deployment aligns with both global standards and societal expectations.


3.

Democratizing Data and AI Strategies

+

The session will delve into the emerging challenge of democratizing access to data and AI technologies across various levels of an organization. Executives will discuss strategies to equip non-specialist staff with AI tools and data insights that support decision-making and foster innovation. The conversation will also address barriers to accessibility, such as the complexity of technology and the need for inclusive, user-friendly solutions that cater to diverse organizational roles.


4.

The Future of Work with AI

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The panel will focus on optimizing cloud spending while enhancing operational efficiency, addressing both the technical and strategic aspects of cost-effective cloud management. Discussions will cover techniques for monitoring and reducing expenditure without sacrificing service quality, including the use of automated tools for resource allocation and demand management. Experts will also explore how organizations can leverage multi-cloud environments and containerization to improve scalability and performance.


5.

Evaluating AI Risks, Opportunities and ROI

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This panel will critically examine the dual facets of AI implementation—assessing the risks and recognizing the opportunities—to better understand the return on investment that AI can offer. Experts will delve into frameworks for evaluating the ethical implications and potential biases of AI systems, alongside their capacity to drive business innovation and efficiency. Additionally, the discussion will highlight methods for quantifying AI's impact on operational costs and revenue growth, providing attendees with a comprehensive view of how AI can reshape business landscapes.


6.

AI Governance and Compliance Readiness

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The panel will address the complexities of AI governance and the importance of establishing robust compliance mechanisms within organizations. It will focus on strategies for aligning AI initiatives with existing regulatory frameworks and ethical guidelines, as well as preparing for future regulations. Attendees will learn about the challenges of ensuring transparency, accountability, and fairness in AI applications and discuss best practices for embedding compliance into the AI lifecycle to mitigate risks and enhance trustworthiness.


7.

Driving Growth and Revenues with Cloud & AI

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The panel will explore how integrating cloud and AI technologies can act as catalysts for business growth and revenue enhancement. Discussions will center on leveraging AI-driven analytics to uncover new market opportunities and improve customer experiences, while cloud infrastructure is examined for its scalability and efficiency in supporting rapid business expansion. Experts will also discuss case studies demonstrating successful implementations and the measurable impact these technologies have on driving competitive advantage.

Day 2 - WORKSHOPS

1.

AI Ethics: Implementing Responsible Practices

+

Explore the framework for embedding ethical considerations into your AI strategy, focusing on creating transparent, fair, and accountable AI systems. This workshop will guide participants through the key principles of AI ethics and practical steps to integrate these principles into their business practices.


2.

Mastering Cost Management in Cloud Deployments

+

Learn how to optimize your cloud resources to achieve cost efficiency without compromising on performance. This session will provide tools and strategies for effective cost management, including monitoring, scaling, and selecting the right cloud services.


3.

Advanced Analytics: Turning Data into Decisions

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Discover how to harness advanced analytics to extract valuable insights from your data, enabling informed top-level decision-making and strategic business moves. This workshop will cover the latest tools and techniques in data analysis to drive growth and innovation.


4.

Building a Compliance Framework for AI Technologies

+

Address the challenge of ensuring that your AI systems comply with both current and emerging regulations. Participants will learn how to design and implement a robust compliance framework that supports ethical AI use and mitigates legal risks.


5.

Strategies for Effective Multi-Cloud Management

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Tackle the complexities of managing multiple cloud environments to enhance operational efficiency and agility. This workshop will focus on strategies for integration, cost optimization, and maintaining security across diverse cloud platforms.


6.

AI for Non-Technologists: Simplifying AI in Business

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Break down the complexities of AI for business leaders with non-technical backgrounds to leverage AI technologies effectively. The session will provide a foundational understanding of AI applications and their strategic importance in business contexts.


7.

Developing an AI ROI Framework: Measures and Metrics

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Establish a clear and actionable framework for evaluating the return on investment of AI initiatives. Learn to identify key performance indicators and quantify the impact of AI on various aspects of business operations.


8.

Navigating the Regulatory Landscape of AI and Cloud

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Stay ahead of the curve in understanding and adapting to the regulatory challenges associated with AI and cloud technologies. This workshop will provide insights into global regulations, compliance requirements, and how to prepare for potential legal shifts.


9.

Leveraging Containerization for Cloud Efficiency

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Dive into the benefits of containerization technology to boost cloud efficiency, manage deployments better, and reduce overhead costs. Participants will gain practical skills in using containers to streamline cloud operations and ensure scalability.


10.

AI and Data Democratization: Tools and Techniques for Accessibility

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Explore how to democratize access to AI and data across your organization, empowering employees at all levels to make data-driven decisions. This session will focus on tools and methodologies to broaden data access and foster an inclusive data culture.


(All panel speakers visible to members only)


Location

BCI Summit is a private event.

Located in NYC/JC

Please contact your BCI representative for all venue details and address