Content Committee

Ed Soo Hoo

Chief Technology Officer

Juergen Weichenberger

Head of AI Strategy

Lambert Hogenhout

Chief Data and AI Officer

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

8:15 AM - 8:50 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 9:30 AM sharp, embarking on an strategic journey of innovation and networking.

8:50 AM - 9:00 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

9:00 AM - 9:45 AM
Featured Opening Panel

In today’s complex digital landscape, many organizations have found themselves navigating a multi-cloud maze, with various departments and functions utilizing different cloud providers. This panel, “Mastering The Multi-Cloud Maze: AI Strategies for Business Transformation,” will explore the strategic integration and optimization of multi-cloud environments to maximize ROI and leverage AI capabilities. Industry experts will explore how businesses can harness the advantages of a multi-cloud approach while addressing the challenges of managing diverse cloud services. The discussion will focus on practical strategies for calculating and enhancing ROI, optimizing costs, and ensuring seamless integration across cloud platforms to drive business transformation. Participants will gain insights into balancing the operational complexities with the strategic benefits of multi-cloud infrastructures, ultimately leading to enhanced efficiency, performance, and competitive advantage.

Discussion Points:
  • Leveraging AI in Multi-Cloud Strategies: Gain insights into how AI technologies can catalyze business transformation and innovation within a multi-cloud ecosystem.
  • Cross-Functional AI Applications: Investigate diverse AI use cases across different business functions, showcasing the transformative potential of AI in a multi-cloud framework.
  • Calculating ROI in Multi-Cloud Environments: Understand the critical metrics and analytical frameworks necessary for calculating and maximizing ROI in multi-cloud deployments.
  • Cost Optimization Strategies: Examine how AI-driven insights can optimize costs and resource allocation across various cloud services for improved financial performance.
Interactive Discussions and Q&A:

Opportunity for attendees to engage with experts, ask questions, and discuss their own experiences and challenges with multi-cloud environments.

9:45 AM - 10:15 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.

10:15 AM - 10:45 AM
Featured Panel Session

Dive into the transformative power of AI-driven technologies as they revolutionize 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.
  • Inter-Industry AI Applications: Examine how AI technologies developed in one industry can be adapted to others and discuss the lessons learned from these adaptations to enhance cross-industry innovation.
  • Looking Ahead: AI's Next Leap: Gain insights into the next big developments in AI that will impact industries and prepare to adapt to and capitalize on future AI advancements.
Interactive Discussions and Q&A:

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.

10:45 AM - 11:45 AM

Opening Networking Break

Leadership Roundtables

11:45 AM - 12:30 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).
11:45 AM - 12:30 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.
11:45 AM - 12:30 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.
11:45 AM - 12:30 PM
Leadership Roundtables Option 4:
AI-Enhanced Customer Experience Transformation

AI has the potential to revolutionize customer experience by providing personalized, efficient, and proactive services. This roundtable will explore how AI can enhance customer interactions, predict customer needs, and streamline support services. Participants will discuss techniques for measuring the impact of AI on customer experience and strategies for generating revenue through AI-driven customer insights.

Discussion Points:
  • Personalization Tactics: Discover advanced techniques for leveraging AI to personalize customer interactions, enhance satisfaction, and foster loyalty.
  • Predictive Analytics: Utilize AI to predict customer needs and behaviors, enabling proactive service and tailored offerings.
  • AI-Driven Customer Support: Implement AI-driven chatbots and virtual assistants to streamline customer support, improve response times, and reduce operational costs.
  • Measuring Impact: Develop metrics and KPIs to measure the impact of AI on customer experience, and calculate the return on investment from AI initiatives.
  • Revenue Generation: Explore strategies for leveraging AI-driven customer insights to identify new revenue streams and enhance overall business growth.
12:30 PM - 1:00 PM

Lunch Hosted By the institute for ai transformation

Afternoon sessions

1:00 PM - 1:30 PM
Fireside Chat

With the global birth rate declining, the population aging, new demands from the workforce and a deficit of trust in society, how will you continue to meet unprecedented business challenges with far fewer and vastly different employees? Automation Anywhere Chief Human Resources Officer, Nancy Hauge, illustrates how AI is your most valuable partner for contending with global disruptive forces. Will you be ready?

1:30 PM - 2:15 PM
Featured Panel

Join us for “Guardians of the Digital Frontier: Navigating Cybersecurity in the AI Era,” a crucial panel discussion that delves into the intricate and evolving relationship between artificial intelligence and cybersecurity. This session will take you through the transformative landscape of digital security, from its rudimentary beginnings to the complex AI-driven challenges of today. Bringing together leading experts, this panel will explore the dual role of AI as both a protector and a potential threat, examining innovative solutions, ethical considerations, and the future direction of cybersecurity in the AI era.

Discussion Points:
  • Evolving Threat Landscape: Discover how AI is reshaping cybersecurity, introducing advanced protective measures while also presenting new sophisticated threats. Understand the dynamics of this evolving threat landscape and the innovative defenses being developed to counteract these challenges.
  • Innovative Strategies and Ethical Challenges: Explore cutting-edge AI solutions for enhancing cybersecurity and delve into the ethical complexities that arise with AI’s integration into digital defense. Discuss the balance between leveraging AI for security and addressing the moral dilemmas it presents.
  • Enhancing Cyber Resilience:  Learn about the tools and practices necessary to build a robust cyber defense framework capable of adapting to the rapid advancements in AI technology. Discover strategies for maintaining resilience in the face of continuous AI-driven threats and attacks.
  • Preparing for the Future: Gain insights into how cybersecurity strategies must evolve to address AI-centric threats. Learn about the potential impact of AI on future cybersecurity policies and the proactive measures needed to stay ahead in this rapidly changing field.
Interactive Discussions and Q&A:

Participants will have the opportunity to engage with cybersecurity experts, ask questions, and share their own experiences and challenges in navigating the AI-cybersecurity landscape. This session aims to provide valuable insights and actionable knowledge to help attendees strengthen their cybersecurity measures and prepare for future AI-driven threats.

2:15 PM - 3:00 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.

3:00 PM - 4:00 PM

Afternoon Networking Break

4:00 PM - 4:45 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.

4:45 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
capital Grill

Conclude the summit with an exclusive invite-only Executive Think Tank Dinner at one of New York City’s premier high-end restaurants, Capital Grill. This intimate gathering offers a unique opportunity for high-level discourse among top executives and thought leaders in AI. Engage in deep conversations on pivotal AI themes, share insights, and forge valuable connections in an elegant setting. Details on the venue will be finalized by August 1st, ensuring a memorable dining experience that complements the transformative day aboard the yacht.

Microsoft AMIGO Communty - Invite Only

Day 2 of the Leaders In AI Summit Series is dedicated solely to the Microsoft Healthcare AMIGO Community. This exclusive summit is tailored to provide an intimate and focused setting for deep discussions, practical insights, and valuable networking opportunities specifically for members of the Microsoft Healthcare AMIGO Community. Please note that attendance is by invitation only and is limited to community members.

11:30 AM - 12:30 PM

ARRIVALS & REGISTRATION

Begin your exclusive day with arrivals and check-ins at the elegant Ink 48 Hote in the Helvetica Meeting Rooml. Connect with fellow members of the Microsoft Healthcare AMIGO Community as you settle in.

Ed Soo Hoo

Chief Technology Officer

Lambert Hogenhout

Chief Data and AI Officer

Michael Nirschl

Chief Data Officer

Satish Katakam

Managing Director of CyberSecurity Head of AI/ML

David Pierce

Expert Enterprise Architect - AI/ML & Distributed Systems

Austin Walsh

Managing Director of US Healthcare, Data/AI

Gustaaf Schrils

Chief Information Officer

Dawn Fitzgerald

Chief Technology Officer

Shadaab Kanwal

Managing Director of Data & Analytics

Juergen Weichenberger

Head of AI Strategy & Innovation

Nancy Hauge

Chief Human Resources Officer

Saydulu Kolasani

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

Przemek Praszczalek

Director, Identity Products Innovation, C&I

Hema Retty

Senior Executive, AI For Enterprise Technology

Andrew Patricio

Chief Data & AI Officer

Holly Mintz

Chief Medical Officer

Diana Contreras

Chief Healthcare Officer

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.

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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.

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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.

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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.

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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

Our partnership with the United Nations ensures that AI transforms humanity in an ethical and sustainable manner. Together, we collaborate on global initiatives that promote responsible AI development and deployment, addressing key issues such as fairness, transparency, and inclusivity.

visit website
BRUCE MONACO

Contact Us

Do you have questions, need assistance, or want to learn more about us? Feel free to reach out to us with any inquiries.

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Diana Contreras

Chief Healthcare Officer

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Holly Mintz

Chief Medical Officer

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Andrew Patricio

Chief Data & AI Officer

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Hema Retty

Senior Executive, AI For Enterprise Technology

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Przemek Praszczalek

Director, Identity Products Innovation, C&I

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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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Juergen 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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Shadaab Kanwal

Managing Director of Data & Analytics

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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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Gustaaf Schrils

Chief Information Officer

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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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David Pierce

Expert Enterprise Architect - AI/ML & Distributed Systems

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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 Product Management

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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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Rob Neville

Chief Executive Officer

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Sandeep Puri

Vice President, Enterprise Technology & Architecture

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Lambert Hogenhout

Chief Data and AI Officer

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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 and Solution Director for 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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Sylvia 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

Director of IT Service Delivery

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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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Meenal Iyer

Vice President of Data

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Terry Jabali

Chief Product Architect

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Ed Soo Hoo

Chief Technology Officer

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Amanda Hua

Senior Director of Software Engineering

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