CDO Institute: USA

Registration and networking opportunity with breakfast provided.

Got Containers? Leading Global 2000 companies are deploying containers to accelerate application development, drive AI/ML pipelines and ramp modern applications across on-prem and cloud environments.

Learn some of their best practices and how a focus on data management and data services provides the best business outcomes.

Jason Cook, AVP Worldwide Partner Sales Engineering - rubrik

In these times of rapid technological advancement, data stands as the cornerstone of innovation. As we navigate through the information age, it's evident that data residing in the cloud represents the fastest area of growth.

To maintain pace with the agility of cloud operations, it is imperative to discover and adopt strategic approaches and robust architectures.

Gather with your C-level peers to:

- Start solving the challenge of data visibility in the cloud

- Determine who in your organization should own data security (CISO? CDO? CPO?)

- Discuss how automation and agility can be accomplished through tooling or processes

Bjorn Austraat, Former SVP & Head of AI Acceleration - Truist

In this presentation, Bjorn Austraat explores a comprehensive framework for enterprise AI success, encapsulated in five essential pillars: Platform, Solution Portfolio, Communication, Talent, and Governance. Each pillar addresses a core aspect of AI deployment and management, starting with a robust AI platform that enables scalability and efficiency through advanced data assets and ModelOps. This is supported by a balanced solution portfolio that promotes upstream innovation and effective solution framing, crucial for maintaining competitive edge.

The discussion also delves into the significance of strategic communication, which sustains momentum and engages both internal and external stakeholders through innovative methods like competitions. The talent pillar focuses on creating a conducive environment for nurturing and retaining top AI professionals through continuous upskilling and incentive alignment. Finally, the presentation highlights the importance of ethical governance in AI, ensuring that AI systems are not only effective but also safe and compliant with industry standards. Join us to gain insights into creating a sustainable and successful AI strategy within your enterprise.

Buffet lunch and networking opportunity.

Arun Nandi, Sr. Director & Head of Data & Analytics - Unilever

In today's rapidly evolving technological landscape, scaling up data and AI capabilities is not just an option, but a necessity for staying competitive and agile. In this Fireside chat / “Ask-me-anything” session, we’ll be joined by Arun Nandi, Sr. Director & Head of Data & Analytics with Unilever, will dive into the crucial lessons he’s learned from pioneering AI integration and also explore forward-looking strategies that can propel businesses into a new era of digital intelligence. Furthermore, Arun will discuss how to effectively balance the acceleration of AI deployment with ethical considerations, ensuring that as we scale, we do so responsibly and sustainably.

Lakshmi Pappu, Former CTDO - US - Haleon

In the rapidly evolving landscape of business technology, artificial intelligence and data analytics stand as pivotal tools for enhancing customer experiences. This panel discussion will focus on three critical areas where these technologies can be most effectively applied to drive value and ensure security.

1. Experimenting with Data:
To harness the full potential of AI, it is essential to foster a culture of experimentation within the organization.

2. Personalization Techniques:
AI's capability to analyze vast amounts of data enables unprecedented levels of personalization.

3. Security Perspectives:
With great power comes great responsibility, particularly concerning data security and privacy.

The goal of this discussion is to equip our leadership with the insights needed to implement AI and data initiatives that not only enhance customer experiences but do so in a secure and responsible manner. By understanding these key areas, we can better navigate the complexities of digital transformation and drive sustainable growth.

Sriraman Pattabiraman (Patta) , Data Management & Reporting Lead, VP - Risk & Controls - State Street

Join this roundtable discussion, hosted by Sriraman Pattabiraman (Patta) , Data Management & Reporting Lead, VP - with State Street, where leading experts in data will delve into cutting-edge strategies that enhance data governance in the realm of the data explosion with AI and ML implementations. Participants will explore the evolving landscape of data observability ; the tools and methodologies used within organizations to leverage data observability in the context of data sets used to both train and run AI?ML models. They will explore how governance of AI/ML models, in particular, validation of such analytical models is shaping up across the Industry and how different these approaches may be from traditional model validation approaches . Through examining real-world case studies, this roundtable aims to uncover actionable insights that organizations can leverage to navigate the complexities of modern data ecosystems, ensuring more reliable, insightful, and accessible data outcomes.

Matt Lewis, CAIO - Inizio Medical

This interactive discussion focuses on the current state of enterprise adoption of generative AI using regulated industries as a case example. Outlining the reasons why to adopt, and identifying frameworks of how to adopt, the workshop lead will describe the relevance of generative AI adoption within and across large organizations, a large part of which depends upon a keen understanding of human factors, the regulatory environment and the risks of doing nothing.

A white paper co-authored by the facilitator and the Chief AI Architect of NYU’s Stern School of Business will be shared with the first 50 participants.

Dilip Nath, AVP & Deputy CIO- State University of New York at Downstate Medical Center

Esmond Kane, CISO - Steward Health Care

Paul Evangelista, CDO - United States Military Academy (USMA) - West Point

Matt Lewis, CAiO - Inizio Medical

The closing panel discussion aims to explore the anticipated changes in the composition, roles, and strategic focus of tech company boards over the coming year. This topic is particularly relevant given the rapid pace of technological innovation and shifting market dynamics influencing governance structures in the tech industry.
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The discussion will first address how tech boards are likely to become more diverse, not only in terms of gender and ethnicity but also in expertise. As technology companies face increasingly complex challenges around cybersecurity, data privacy, and ethical AI, there is an expectation that boards will increasingly seek members with specific knowledge in these areas. This shift aims to better align board expertise with the critical challenges and opportunities tech companies face.

Furthermore, the conversation will delve into the impact of regulatory changes on board responsibilities. With governments around the world tightening regulations on tech operations, from antitrust issues to data protection, the role of the board in ensuring compliance and steering company policy in lawful directions will be a focal point. This involves a likely increase in the need for board members who are adept at navigating the intersections of technology, law, and public policy.