Content Committee

Ed Soo Hoo

Chief Technology Officer

Juergen Weichenberger

Head of AI Strategy

Lambert Hogenhout

Chief Data and AI

Chris Moloney

Chief Marketing Officer

Dawn Fitzgerald

Chief Technology Officer

Ari Kaplan

Head Evangalist

Austin Walsh

Managing Director US Healthcare,
Data & AI

Rameshwar Balanagu

Chief Enterprise Architect

New York City Agenda

8:30 AM - 9:15 AM

ARRIVALS TO THE BOAT & REGISTRATION

Begin your day by stepping aboard our luxurious yacht at Chelsea Piers. As you register, enjoy a delightful spread of freshly brewed coffee and gourmet croissants while taking in the stunning views of the Manhattan skyline. The Leaders In AI Summit Cruise Ship sets sail at 10:30 AM sharp, embarking on an strategic journey of innovation and networking.

The Yacht will be docked back at Chelsea Piers at 3:00 PM.

9:15 AM - 9:30 AM

Opening Remarks

Kick off the summit with inspiring opening remarks from one of our esteemed Board Members, setting the stage for a day of innovation and collaboration. This short session will introduce the opening panel, laying the foundation for the transformative discussions and insights to follow.

Featured Sessions

9:30 AM - 10:15 AM
Opening Panel

This session dives deep into the organizational challenges of balancing AI safety with the rapid pace of AI innovation. Our expert panel will explore the critical role of executive leadership in navigating this balance, discussing the frameworks and practices necessary to ensure AI technologies are both safe and transformative within your organization.

What You Will Learn:

  • Balancing Act: Learn how organizations can strike a balance between fostering rapid AI innovation and maintaining rigorous safety standards.
  • Leadership and Ethics: Understand the paramount ethical considerations in AI development and deployment, and how executive leaders can address these.
  • Risk Management in High-Stakes Industries: Discover strategies effective in high-stakes industries like healthcare and finance to ensure AI safety is not compromised by innovation.
  • Regulatory Influence: Examine how regulatory bodies, often less knowledgeable about AI than industry experts, can shape policies and how companies can collaborate to ensure balanced regulations.
  • 10:15 AM - 10:45 AM
    Opening Keynote

    We are honored to welcome Lambert Hogenhout from the United Nations to deliver this keynote on the ethical and responsible use of emerging technologies. With over 20 years of experience, Lambert will share his profound insights into AI, data privacy, and digital ethics, emphasizing the human impact and societal benefits of responsible tech.

    TOPICS COVERED:
    • AI Governance: Frameworks and policies for ethical AI implementation and data governance.
    • Data Privacy: Strategies for safeguarding personal data in a digital age.
    • Responsible Tech: Best practices for ensuring the ethical use of technology in organizations.
    Interactive Discussions and Q&A:

    Attendees will engage with Lambert, asking questions and gaining insights into the future of AI, data governance, and responsible technology.

    Join us for this inspiring session and learn how ethical tech is not just the right thing to do, but good business, and a foundation for governance of Data and AI.

    10:45 AM - 11:45 AM

    Opening Networking Break

    11:45 AM - 12:20 PM
    Featured Panel Session

    Join us for a deep dive into the transformative power of AI as it revolutionizes various industries, driving unprecedented innovation and creating new opportunities. This high-level panel will explore groundbreaking AI initiatives, strategic integrations, and the profound impact of AI across different sectors. Discover how AI is reshaping industries such as healthcare, finance, manufacturing, and more, providing insights into the future landscape of technological advancement.

    Discussion Points:
    • Innovative AI Breakthroughs: Explore significant AI initiatives that have altered industry norms and understand how these innovations pave the way for new possibilities.
    • Strategic AI Integration: Learn about the most effective strategies for integrating AI into business models and discover how AI drives both innovation and competitive advantage.
    • AI and Workforce Transformation: Examine how AI is transforming the workforce within various industries and discuss strategies for upskilling and reskilling employees to work alongside AI technologies.
    • Leadership in AI Adoption: Discuss the role of executive leadership in fostering a culture of AI innovation and ensuring that AI initiatives align with long-term strategic visions.

    Participants will have the opportunity to engage with industry experts, ask questions, and discuss their own experiences and challenges with AI implementation. This session aims to provide valuable insights and practical knowledge to help attendees leverage AI to drive innovation and redefine possibilities within their organizations.

    12:20 PM - 1:00 PM

    Lunch Hosted By the institute for ai transformation

    Afternoon sessions

    1:00 PM - 1:30 PM
    Afternoon Keynote:

    Are people really ready to interact with AI? People are more suspicious than ever about privacy, accuracy and have always been reluctant to trust other people, let alone a system. Tactical Communications between humans has been hard enough; how can we think about AI systems so that people will embrace them with their most valuable asset? As a scientist and professional magician, David Reich, IBM’s Chief Magic Officer, knows just how to overcome skeptics and how you can view users of your systems and technologies.

    1:30 PM - 2:00 PM
    Closing Session:

    Explore the strategic dimensions of integrating AI throughout your enterprise, from initial pilot programs to robust full-scale production. This panel, led by industry experts, will dissect the essential components of developing a comprehensive AI strategy that aligns with business imperatives. Participants will gain insights into how successful organizations navigate the complexities of AI adoption, optimizing processes and enhancing competitiveness across all operational facets."

    Discussion Points:
    • Scaling AI Initiatives: Discuss the challenges of scaling AI projects from pilot to production, offering insights into how these initiatives can be aligned with overarching business objectives to drive significant value and transformation.
    • Ensuring Data Integrity: Explore strategies for maintaining high-quality data in AI applications, crucial for ensuring the accuracy and reliability of AI deployments and their successful integration into business processes.
    • Forecasting AI Impact: Examine effective techniques for forecasting AI’s business impacts and communicating these potentials to C-suite executives, demonstrating how AI initiatives can result in substantial business outcomes.
    • Collaboration Synergy: Delve into best practices for fostering robust collaboration between data science and engineering teams, ensuring that multidisciplinary groups work cohesively towards unified AI goals.
    Interactive Q&A Session:

    Engage directly with panelists in a dynamic question and answer session, where you can address your specific queries and concerns about developing and implementing an enterprise-wide AI strategy. This session is designed to provide actionable insights that help you leverage AI for strategic advantage across your organization.

    2:00 PM - 2:30 PM
    Featured Panel

    This panel will explore the transformative role of AI in driving effective change management and cultural transformation within healthcare organizations. Focused on overcoming the disconnect between IT departments and healthcare practitioners, the discussion will explore how AI can facilitate smoother transitions, enhance collaboration, and improve operational efficiency. Attendees will gain insights into strategies and real-world applications of AI that support successful change management and integration across various healthcare functions.

    Discussion Points: 
    • Human Element of AI in Healthcare: Explore the integration of human oversight in AI deployments to uphold ethical standards and sustain trust in AI systems, while balancing automation with the human touch to improve patient outcomes and care quality.
    • Facilitating Change Management with AI: Discuss strategies for leveraging AI to manage transitions in healthcare settings, from training programs and workflow adjustments to stakeholder engagement, emphasizing new AI technologies and capabilities.
    • Bridging IT and Healthcare Practitioners: Examine the persistent disconnect between IT departments and healthcare practitioners and how AI can bridge this gap. Share best practices for fostering collaboration between IT and clinical teams to ensure seamless integration of AI technologies.
    • Enhancing Communication and Collaboration: Highlight how AI tools can improve communication and collaboration among healthcare staff, leading to enhanced teamwork and better patient care. Provide real-world examples of AI applications that have improved coordination and information sharing within healthcare organizations.
    Interactive Discussions and Q&A:

    Participants will have the opportunity to engage with healthcare experts, inquire about the specifics of AI-driven change management, and discuss their own challenges and experiences with integrating AI in healthcare settings. This session aims to provide valuable insights and actionable knowledge to help attendees effectively implement AI to enhance operational efficiency and patient care within their organizations.

    2:30 PM - 3:30 PM

    Afternoon Networking Break

    Leadership Roundtables

    3:30 PM - 4:20 PM
    Leadership Roundtables Option 1:
    Unlocking Value: Measuring AI ROI in Enterprises

    Understanding the return on investment (ROI) for AI initiatives is crucial for justifying expenditures and demonstrating value to stakeholders. This roundtable will focus on methodologies and frameworks for accurately measuring the ROI of AI projects, considering both tangible and intangible benefits. Participants will discuss best practices for aligning AI investments with business goals and ensuring that AI deployments deliver measurable business value.

    Discussion Points:
    • Measuring Tangible Benefits: Techniques for quantifying direct financial gains from AI initiatives, such as cost reductions, increased revenue, and efficiency improvements.
    • Evaluating Intangible Benefits: Methods for assessing intangible benefits like improved customer satisfaction, enhanced decision-making capabilities, and innovation acceleration.
    • ROI Frameworks: Overview of various frameworks and models used to calculate AI ROI, including Total Cost of Ownership (TCO) and Value-at-Risk (VaR) assessments.
    • Aligning AI with Business Goals: Strategies for ensuring that AI projects are closely aligned with organizational objectives and key performance indicators (KPIs).
    3:30 PM - 4:20 PM

    As AI technologies continue to evolve, robust data governance and ethical AI practices are more important than ever. This roundtable will delve into the development and implementation of data governance frameworks, privacy and compliance issues, and ethical considerations in AI deployment. Participants will discuss how to ensure AI safety and build public trust through responsible AI usage.

    Discussion Points:
    • Framework Development: Learn how to develop and implement robust data governance frameworks that ensure data quality, integrity, and accessibility.
    • Privacy and Compliance: Address the complexities of data privacy and compliance, and explore strategies for maintaining regulatory standards in AI initiatives.
    • Ethical AI Deployment: Engage in discussions on mitigating biases in AI models, ensuring transparency, and promoting ethical AI practices.
    • AI Safety: Discuss best practices for ensuring AI safety, including risk management strategies and the development of safety protocols.
    3:30 PM - 4:20 PM
    Leadership Roundtables Option 3:
    Future-Proofing Your Business with AI

    Preparing your business for the future involves adopting and integrating AI technologies that can scale and evolve with emerging trends. This roundtable will focus on strategies for building scalable AI infrastructure, optimizing AI performance, and navigating multi-cloud environments. Participants will learn best practices for integrating AI across various enterprise functions to ensure long-term success.

    Discussion Points:
    • Infrastructure Optimization: Explore strategies for building and scaling AI infrastructure that can handle growing data and processing demands efficiently.
    • Performance Enhancements: Discuss methods for optimizing the performance and efficiency of AI workloads, including leveraging edge computing and hybrid cloud solutions.
    • Enterprise Integration: Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.
    • Navigating Multi-Cloud Environments: Learn how to effectively manage AI operations across multiple cloud platforms, ensuring flexibility, security, and cost-effectiveness.
    • Long-Term Scalability: Develop strategies for future-proofing AI infrastructure to adapt to technological advancements and evolving business needs.
    3:30 PM - 4:20 PM

    Join healthcare leaders in a dynamic roundtable that will explore how healthcare leaders can practically leverage GenAI for bringing transformative impact. Take a deep dive into healthcare-specific strategies, automated quality monitoring, and learn from real-world success stories on scaling GenAI initiatives, establishing Centers of Excellence (COE), and integrating cutting-edge technologies.

    4:20 PM - 4:50 PM

    Present Your executive roundTables Findings

    4:50 PM - 5:00 PM

    Closing Remarks

    5:00 PM - 6:00 PM

    Cocktail Hour on the boat

    Premium Spirits:
    Tito’s Vodka
    Balcones Whiskey
    Tequila 512
    Gosling's Rum
    Hendrick’s Gin

    Craft Beers:
    Karbach Ranch Water
    Karbach Love Street

    Elegant Wines and Champagne:
    Sauvignon Blanc: Kim Crawford
    Prosecco: Lunetta
    Chardonnay: La Crema
    Pinot Noir: Mark West
    Cabernet: Columbia Crest - Grand Estates

    6:30 PM - 9:30 PM

    Intimate Think Tank Dinner - Invite Only

    Conclude the evening with our executive invite only Think Tank Dinner session at the renowned Capital Grille for an evening of high-level discourse at one of our two concurrent Think Tank Dinners. Each dinner focuses on a pivotal theme in AI today, set against the backdrop of Capital Grilles elegant dining experience. Select the session that aligns with your interests and contributes to shaping the dialogue on the future of AI by clicking the topic.

    DINNER 1:
    The Great Balancing Act: AI Innovation vs AI Safety

    Dive into a critical exploration of AI innovation, AI safety, governance, and the ethical deployment of AI technologies. This dinner provides a platform for leaders and innovators to dissect and discuss the imperative of aligning AI's transformative potential with the need to ensure robust safety protocols. Engage with peers to champion a future where technology progresses with caution and conscientiousness.

    DINNER 2:
    Trusted AI: Driving Value With AI Innovation

    In a separate private room, join industry visionaries to discuss the integration of AI in healthcare, with a focus on enhancing patient outcomes through technological advancements. This session zeroes in on the operational efficiencies, challenges, and breakthroughs of AI applications in patient care. Together, we'll navigate the complexities of AI in healthcare and envision innovative paths to optimize care delivery.

    Select your preferred dinner and be part of a memorable evening, where the finest cuts of steak and Capital Grille's acclaimed cuisine are paired with thought-provoking conversations. Every discussion is an opportunity to influence the trajectory of AI with sophistication and insight.

    Location:

    The Capital Grille
    120 W 51st St, New York, NY 10020
    Ed Soo Hoo

    Chief Technology Officer

    Lambert Hogenhout

    Chief Data & AI

    Michael Nirschl

    Chief Data Officer

    Satish Katakam

    Managing Director of CyberSecurity Head of AI/ML

    Austin Walsh

    Managing Director of US Healthcare, Data/AI

    Dawn Fitzgerald

    Chief Technology Officer

    Jurgen Weichenberger

    Head of AI Strategy & Innovation

    Nancy Hauge

    Chief Human Resources Officer

    Saydulu Kolasani

    SVP of Enterprise IT, Digital, Data & Analytics Transformation & Operations

    Hema Retty

    Senior Executive, AI For Enterprise Technology

    Andrew Patricio

    Chief Digital and AI Officer

    Holly Mintz

    Chief Medical Officer

    Anthony Candeias

    Chief Information Security Officer

    Victor Tewari

    SVP Wealth Management & Private Banking

    Jennie Baird

    Chief Product Officer

    David Reich

    Chief Magic Officer

    Barbara Widholm

    Vice President Global Technology

    Rameshwar Balanagu

    Chief Enterprise Architect

    Yann Lecun

    Chief AI Scientist

    Priya Gore

    General Manager, Data & AI

    John Squeo

    SVP & Market Head, Healthcare Providers

    Louis Landry

    Head of Technology & Innovation

    Matthew Klos

    Senior Storage Architect

    Leaders In AI Summit
    Chelsea Piers NYC

    September 19th-20th, 2024

    Leaders In AI Hotel
    Ink 48 hotel

    September 18th-21st, 2024

    Our Strategic Partners

    Microsoft empowers our executive AI community by providing innovative solutions and cutting-edge technologies that drive transformation. Their Azure AI platform enables organizations to build and deploy AI models efficiently, enhancing decision-making and operational efficiency. Through strategic partnerships and comprehensive tools, Microsoft supports enterprises in harnessing the full potential of AI, fostering growth and competitive advantage.

    visit website

    NVIDIA revolutionizes AI transformation with its advanced GPU technology and deep learning frameworks. By accelerating computational performance, NVIDIA enables real-time data processing and complex AI model training. Their solutions empower businesses to innovate across various sectors, from healthcare to finance, ensuring robust AI capabilities that drive significant advancements and efficiencies.

    visit website

    IBM empowers our executive AI community with innovative solutions and advanced technologies that accelerate transformation. Leveraging AI platforms like IBM Watson and hybrid cloud infrastructure, IBM enables organizations to optimize operations, enhance decision-making, and drive sustainable growth. Through extensive research, industry-leading expertise, and strategic partnerships, IBM helps enterprises unlock the full potential of AI, ensuring they stay competitive in a rapidly evolving digital landscape.

    visit website

    Teradata leads in data-driven AI transformation with its powerful analytics platform. By integrating AI and machine learning, Teradata helps organizations unlock valuable insights from vast datasets, optimizing business processes and strategies. Their scalable solutions ensure seamless AI implementation, fostering innovation and informed decision-making across the enterprise landscape.

    visit website

    Lenovo accelerates AI transformation with its robust computing solutions and innovative hardware. Their high-performance servers and workstations are designed to handle the demanding requirements of AI workloads. By offering reliable and scalable solutions, Lenovo enables businesses to deploy AI applications effectively, fostering growth and operational excellence.

    visit website

    Databricks propels AI innovation with its unified data analytics platform. By combining data engineering, machine learning, and analytics, Databricks enables seamless collaboration and faster time-to-insight. Their Lakehouse architecture simplifies data management, empowering organizations to build, train, and deploy AI models efficiently, driving transformative business outcomes.

    visit website
    speaker image
    Kyle Dufresne

    AI GTM & Enablement

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    Anil Nanduri

    Head of Intel AI Acceleration Office (AAO)

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    Robert Jaggers

    Chief Executive Officer

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    Tim McGrath

    Chief Executive Officer

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    Singari Seshadri

    Head, Digital Experience Innovation

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    Antoine Holman

    Chief Development Officer

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    Chris Jones

    Senior Director ML, Data and Enterprise Platforms

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    Kalene Gomez

    VP of IT

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    Arun Nandi

    Head of Data & Analytics

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    Matthew Murphy

    Chief Data Officer

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    Carolyn Scott

    Chief Academic Officer

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    Yury Gomez

    Chief Commercial Officer, Manufacturing

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    Steven Choi

    Chief Medical Officer

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    Matthew Klos

    Senior Storage Architect

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    Rob Teel

    Chief Technology Officer

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    Louis Landry

    Head of Technology & Innovation

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    John Squeo

    SVP & Market Head, Healthcare Providers

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    Priya Gore

    General Manager, Data & AI

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    Yann Lecun

    Chief AI Scientist

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    Rameshwar Balanagu

    Chief Enterprise Architect

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    Barbara Widholm

    Vice President Global Technology

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    David Reich

    Chief Magic Officer

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    Jennie Baird

    Chief Product Officer

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    Victor Tewari

    SVP Wealth Management & Private Banking

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    Anthony Candeias

    Chief Information Security Officer

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    Holly Mintz

    Chief Medical Officer

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    Andrew Patricio

    Chief Digital and AI Officer

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    Jamal Khan

    Head of Helix

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    Hema Retty

    Senior Executive, AI For Enterprise Technology

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    Saydulu Kolasani

    SVP of Enterprise IT, Digital, Data & Analytics Transformation & Operations

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    Nancy Hauge

    Chief Human Resources Officer

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    Jurgen Weichenberger

    Head of AI Strategy & Innovation

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    Stephanie Bohn

    Former Chief Marketing Officer

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    Dr. Arun Krishnan

    Sr. Vice President, Analytics & AI

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    Amit Padalkar

    Sales Leader

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    Maxwell Williams

    VP of AI Product Management

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    Pranay Pasula

    VP of AI Research

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    Anupama Ambe

    SVP & Managing Partner

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    Arnold Kravitz

    Chief Technology Officer

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    Laura Shact

    Principal & AI Leader for Human Capital

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    Alok Agrawal

    Chief Strategy Officer

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    Anurang Revri

    Chief Enterprise Architect

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    Allan Mclennan

    President / CAO

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    Dawn Fitzgerald

    Chief Technology Officer

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    Supriya Thorbole

    Managing Director Data & Analytics

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    Lawana Jones

    Chief Technology Officer

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    Aditya Tahilramani

    Vice President of IT

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    Ashley Page

    Senior Vice President, Chief Compliance Officer

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    Megan K. Clarke

    Chief Information Officer

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    Michael Payne

    Head of AI, Data and Analytics Engineering

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    Justin Molavi

    Director, Commercial Strategy and Insights

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    Austin Walsh

    Managing Director of US Healthcare, Data/AI

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    Manisha Gupta

    VP, Products, AI/ML Analytics on People Intelligence

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    Corinne Stroum

    Head of Emerging Technologies

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    Jie Yu

    Head of Digital & Data Science

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    Michael R. Boone

    Trustworthy AI Product Manager

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    Nina D’Amato

    Chief Information Officer

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    Katie Heupel

    VP, Technology Strategic Initiatives

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    Satya Choudary

    VP of Data/Analytics & Global Head of Cloud

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    Satish Katakam

    Managing Director of CyberSecurity Head of AI/ML

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    Kris Crichton

    Deputy CTO

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    Michael Nirschl

    Chief Data Officer

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    Rob Neville

    Chief Executive Officer

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    Sandeep Puri

    Vice President, Enterprise Technology & Architecture

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    Lambert Hogenhout

    Chief Data & AI

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    Rajkumar Bondugula

    Luminary AI Scientist & Digital Twins Expert

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    Bruce Monaco

    Co-Founder & Chief Operating Officer

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    Sanjay Basu

    Senior Director Generative AI

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    Stephen Erberich

    Chief Data Officer, Data Science & AI

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    Christopher Stidvent

    VP of Commercial Litigation

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    Christopher Peter Makris

    Lead Data Scientist

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    Sourav Mazumder

    Distinguished Engineer AI in Sustainability

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    Frederique De Letter

    Senior Director Business Insights & Analytics

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    Jennifer Price

    DesignOps Lead & Manager Business Platform Transformation Operations

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    Ari Kaplan

    Head of Evangelism

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    Viktoria Semaan

    Senior AI Developer & Advocate

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    Sunanda Saxena

    Global Transformation Leader

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    Lisa Patterson

    Senior Data Scientist

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    Neha Parekh

    General Counsel for Global Data Protection & Privacy

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    Bill Genovese

    CIO Advisory Partner

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    Lila Landis

    Chief Compliance Officer

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    Kelly Watt

    Digital Twin & AI/ML Programs

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    Ravi Pasula

    Head of AI/Machine Learning

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    Manoj Saxena

    Executive Chairman

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    Anne Boysen

    Lead Quality Engineer

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    Slyvia Martin

    Chief Nursing Officer

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    Shruti Pandey

    Specialist, Analytic Scientist

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    Krish Das

    VP Enterprise Data Officer

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    Arjun Srinivasan

    Director of Data Science

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    Dr Jyotirmay Gadewadikar

    Chief AI Scientist

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    Prakhar Bajpai

    Senior Data Scientist

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    Daniel Spurling

    SVP of Product Management

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    Rachini Moosavi

    Chief Analytics Officer

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    Anupam Datta

    Co-Founder/Chief Scientist

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    Shannon Chapman

    Sr Director of Enterprise Service Management

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    Shannon Smith

    CIO & Chief of Staff

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    Sree Kancharla

    Chief Information Officer

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    Phil Wiser

    Chief Technology Officer

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