Delve into crucial techniques for maintaining ethical standards in high-value Generative AI applications. This panel explores the importance of responsible AI deployment and offers actionable strategies for mitigating bias and ensuring transparency.

• Prioritizing explainability and transparency to understand and communicate AI decisions effectively.

• Implementing measures to measure and mitigate bias, ensuring fairness and compliance with regulatory standards.

• Fostering a culture of responsibility and accountability throughout the AI development and deployment process.

Arjun Ravi Kannan

Director, Data Science Research Decisions and Analytics
Discover Financial Services

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In an era of powerful generative AI, ensuring responsible practices is paramount. Join our expert panel to delve into the significance of ethical AI, offering actionable insights for businesses, exploring:

• Ensuring transparent AI decision-making processes, mitigating biases, and promoting fairness and accountability.

• Implementing robust data governance practices to safeguard user privacy and maintain ethical AI operations.

• Fostering interdisciplinary collaboration to incorporate diverse perspectives, aligning AI development with societal values and norms.

Dian Trabulsy

Founder & CEO
Grace May LLC

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Arjun Ravi Kannan

Director, Data Science Research Decisions and Analytics
Discover Financial Services

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Rajiv Avacharmal

Corporate Vice President, Center for Data Science and Artificial Intelligence (CDSAi)
New York Life Insurance Company

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Delve into the critical aspects of building a strong data-first foundation to deliver an impactful AI strategy for tangible business impact, covering:

• Establishing clear guardrails for your data usage – legal, employee, customer, ethical consideration.

• Tracking and managing experimentationto drive informed decision-making in the dynamic landscape of generative AI.

• Evolving data platforms, incorporating best practices and lessons to create a centrally managed, scalable infrastructure.

• Strategies for data loss prevention to protect your AI experiments and garner buy-in from security teams.

Ash Dhupar

Chief Data & Analytics Officer
Analog Devices

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Generative AI is a revolution in an already fastpaced field. As organizations large and small race to develop out internal strengths, they are finding that effective strategy is crucial for unleashing the potential of Generative AI and realizing impactful value. Particular attention will be paid to the new challenges that GenAI is making tractable such as developments in AI for Code.

This session will explore:

• Investing in metrics and observability to structure GenAI experiments and production capabilities and ensure ongoing success

• Identifying, exploring, and measuring internal use cases and moving into real, cost-effective, large scale use

• Operationalizing infrastructure,internal strength, and knowledge with rigor to drive optimal model capabilities

• Dealing with new challenges that come from new capabilities and opportunity spaces, and building a larger ecosystem around the model

Zachary Hanif

Head of AI, Machine Learning and Software Development Platforms
Capital One

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Overcoming data management & infrastructure limitations is crucial for unlocking the full potential of generative AI. This panel delves into innovative strategies for mitigating data challenges to enhance generative AI outcomes.

• Implementing synthetic data generation techniques to supplement limited datasets.

• Exploring transfer learning methods to leverage pre-trained models for new tasks.

• Enabling the successful development and deployment of Generative AI solutions.

Stavros Zervoudakis

Head of AI, Data Science, Machine Learning and Advanced Analytics
Mutual of America Financial Group

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Atena Reyhani

Chief Product Officer
ContractPodAi

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These panelists have been getting stuck into & driving into production many different use cases within the world of real estate. Explore the transformative impact of Generative AI with real world case studies & their findings through:

• Enhancing customer experience with immersive content, robots & generative AI-driven shopping malls.

• Improving operational efficiency, customer insights & documentation.

• Uncovering exciting new uses within the sector & driving them into large-scale, valuable production.

Jesse Michael

Senior Vice President, Digital Solutions
JLL

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Mindy Rohr

Senior Regional Director, National Marketing
Centennial

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Adam Schwegman

Executive Vice President
North American Properties

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Explore the critical role of strategic use case selection in maximizing generative AI’s organizational impact.

• Defining clear business objectives to guide use case selection, aligning AI applications with organizational goals.

• Leveraging data-driven insights to prioritize use cases with high impact potential for generative AI.

• Establishing cross-functional teams to evaluate and validate selected use cases, ensuring broad organizational alignment.

Harsh Singh Narula

Director, Data Analytics & AI
Merck

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Sudipto Ghose

Vice President
Equifax

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Ankita Ragarwal

Global Director - Digital Transformation & Data / Analytics
Kimberly Clark

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Leading through generative AI adoption requires a unique set of skills. This session explores the critical role of leadership in navigating organizational change.

• Develop change-ready leaders through targeted training programs focused on generative AI.

• Foster transparent communication to align leadership vision with workforce expectations.

• Encourage agile leadership, adapting strategies in response to generative AI developments.

Sami Huovilainen

Managing Director - Head of Next Gen Analytics
Citi

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Best Practices for GenAI Adoption

• How to assess the readiness and maturity of your organization for GenAI

• How to design and implement a GenAI program and strategy

• How to align stakeholders and sponsors

• How to help the enterprise prioritize GenAI use cases

• How to evaluate solution providers and partners

• How to measure and communicate the value and impact of GenAI

Best Practices for GenAI Change Management

• How to manage the cultural and behavioral changes required for GenAI

• How to develop and empower champions, advocates and stakeholders

• How to train and upskill your workforce

• How to address the ethical and social implications of GenAI

• How to foster a culture of innovation and collaboration

Paul Cielinski

Sr. Director Product Management
Syneos Health

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Embracing generative AI demands a focus on human-centric change management strategies. This panel discusses the importance of balancing innovation with

leadership considerations.

• Fostering open dialogue to address workforce concerns and enhance adaptability.

• Prioritizing comprehensive training, rewards & recognition to empower employees in navigating generative AI transformations.

• Cultivating a culture of continuous learning, experimentation & innovation to sustain human-centric approaches and increase buy-in.

Jie Yu

Head of Digital and Data Science Product Management
Johnson & Johnson

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As generative AI models scale up into full production, the importance of AI risk management becomes paramount. This session explores strategies for ensuring model safety, fairness, and compliance as AI deployment expand across the enterprise.

Rajiv will delve into:

• Implementing responsible AI practices to mitigate biases and ensure fair business models.

• Evaluating models rigorously to identify and address gaps in policies and biases.

• Establishing proper controls and monitoring frameworks to manage AI risks effectively.

Rajiv Avacharmal

Corporate Vice President, Center for Data Science and Artificial Intelligence (CDSAi)
New York Life Insurance Company

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In this session we will explore the transformative role of Generative AI in bolstering cyber security. The focus is on harnessing AI’s capabilities to fortify digital defenses, particularly in the fast-evolving financial sector.

• Application Security Testing: AI-driven dynamic code analysis improvements

• Penetration Testing: Enhanced AI simulations for system vulnerabilities

• Pre-emptive Fraud Prevention: AI algorithms predicting. fraudulent activities early.

Gaurav Dhama

Director of Product Development - AI
Mastercard

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Delve into the paramount role of robust risk management and cybersecurity in securing generative AI ecosystems, exploring:

• Fortifying data protection protocols, ensuring end-to-end encryption and secure handling of generative AI outputs.

• Conducting regular penetration testing to identify vulnerabilities and proactively address potential cyber threats.

• Establishing comprehensive risk assessment frameworks, integrating AI-specific considerations for a resilient generative AI environment.

Arvin Bansal

Chief Information Security Officer
C&S Wholesale Grocers

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Muhammad Anwar Ul Haq

Director, Avion Data
RBC

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Generative AI offers exciting opportunities for automated content generation and digital twin creation. In this session, Deanna will explore some of the ways CAE are leveraging this technology for content generation (for driving training and safety), and digital twin generation (for global environmental impact assessments).

Attend to delve into:

• Harnessing Generative AI for creating training environments and autogenerated content.

• Collaborating with game engine providers to develop digital twins for environmental impact assessment.

• Exploring diverse applications of generative AI in forecasting, revenue analysis, and disaster modelling.

• Optimizing processes and people for continued innovation and best results.

Deanna Shannon

Vice President Enterprise Architecture and Incubation
CAE

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In this session, Jyotirmay will explore Mitres journey, delving into the transformative potential of Generative AI in reshaping fundamental systems for real return on investment & value.

• Focusing on requirement and use case generation to align generative AI efforts with business objectives.

• Embracing robustness and reliability through rigorous testing and model validation processes.

• Addressing resistance and pushback with effective communication, education, and AI assurance measures.

Jyotirmay Gadewadikar

Chief Scientist for AI Integration and Systems Engineering
MITRE

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Explore the pivotal role of data access in generative AI, addressing:

• Enhancing accessibility to diverse datasets, a critical foundation for robust generative AI models.
• Simplifying data access and democratizing insights for business users through innovative generative AI applications.
• Establishing secure partnerships and leveraging cloud solutions for seamless and efficient data accessibility.
• Developing internal capabilities and protocols to streamline data access, ensuring sustained generative AI success.

Tammye Garrett-Feeley

Chief Data Officer
UT Southwestern Medical Center

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Robin Patra

Head of Data
ARCO Construction Company

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Ishita Majumdar

Data and AI Tech Executive
eBay

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In such a dynamic AI landscape, keeping up with the progress & ensuring for strategic implementation is paramount for success. Devlin is leading the Generative AI research within Vanguards applied research group, he will delve into AI Agents & how business leaders can explore:

• Forging partnerships with vendors, academia, and researchers for continuous learning.

• Investing in R&D to anticipate future AI capabilities.

• Understanding & innovating with latest in emerging AI agent technologies.

Devlin Mconnell

Senior Manager – Emerging Technology and Generative AI
Vanguard

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Delve into the imperative of adopting a holistic approach to generative AI across enterprises, fostering innovation and operational excellence. This panel illuminates strategies for integrating generative AI into

organizational policies, processes, and skillsets, ensuring comprehensive adoption and maximizing its transformative potential.

• Developing policies and risk frameworks to guide generative AI adoption and mitigate potential concerns.
• Providing comprehensive training to equip employees with the necessary skills and knowledge to leverage generative AI effectively.
• Fostering a culture of innovation by encouraging exploration of new use cases and custom models across departments.

Sajit Joseph

Chief Digital and Transformation Officer
Tides

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Dive into the crucial process of curating a robust generative AI strategy for transformative business outcomes.

• Aligning generative AI strategy with overarching business goals for seamless integration and impactful outcomes.

• Collaborating across departments to gather diverse perspectives, ensuring a holistic and comprehensive generative AI strategy.

• Regularly reassessing and iterate the generative AI strategy to adapt to evolving business landscapes and technologies.

Sky Kelley

Global Co-GM, Digital Product Innovation
Nike

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Priyanka Singhal

Assistant Vice President (AI Research), AI Centre of Excellence
U.S. Bank

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Ankita Ragarwal

Global Director - Digital Transformation & Data / Analytics
Kimberly Clark

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In this talk, our CEO and Founder, Richard Smullen, will discuss how Pypestream is pioneering this next frontier in automation by merging the best of both AI technologies to deliver smarter, more adaptive customer solutions.

We'll explore how Conversational AI powers personalized, real-time engagement, while Generative AI enables dynamic content creation and decision-making at scale at large, global enterprises. Learn how Pypestream's innovative approach helps businesses drive efficiency, elevate customer experiences, and future-proof their operations through automation that’s not only reactive but proactive. 

Richard Smullen

CEO
Pypestream

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Join us to uncover Intuit’s transformative journey in shifting from scripted to generated conversational flows. This evolution highlights the critical role of adapting skills and fostering collaboration between content

and data science teams. Learn actionable steps for enhancing generative AI efforts:

• Fostering collaboration between content designers and data scientists to leverage the power of AI.

• Training content designers to transition from front-end roles to back-end roles for AI-driven conversations.

• Embracing the synergy between content creation and data science to unlock new conversational possibilities

Tina O'Shea

Director, Content Design & Design Tech
Intuit

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