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 this session we will explore a responsible AI approach to rigorously defining and operationalizing generative AI use cases. Join us to delve into the tradeoffs between organizational efficiency and system suitability and emerge with practical insights on:

• Identifying major dimensions of scope change for GenAI use cases.

• Developing a standardized strategy for expanding your GenAI use case portfolio in alignment with Responsible AI principles.

• Understanding and adapting this strategy for emerging reporting requirements.

Sabrina Shih

AI Policy Integration Lead
Responsible AI Institute

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Generative AI presents unparalleled opportunities to transform healthcare delivery and outcomes. From personalized treatment plans to drug discovery, the potential impact is immense. Join this panel discussion to

delve into how pioneers in Generative AI for healthcare are approaching, predicting & overcoming challenges in this space.

• Prioritizing data privacy and security measures for patient information.

• Fostering collaboration between healthcare providers and AI experts for innovation.

• Investing in training and recruiting AI talent to drive generative AI initiatives.

Nadia Wood

Senior Machine Learning Engineer
Mayo Clinic

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Petrina Kamya

VP, and Global Head of AI Platforms and President (Canada)
Insilico Medicine

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Joe Siryani

Professor of Data Science & AI
George Washington University

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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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Alessya Visnjic

CEO & Co-founder
WhyLabs

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Your early AI projects were a success, but now you've got to find ways to scale your program and accelerate AI across the business. This session will help you identify the coming challenges and the opportunities to move faster and far more efficiently. You will leave armed with new tools and ideas for your program. 

Kevin Kiley

President
Airia

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Optimizing compute in generative AI is paramount. As businesses increasingly rely on AI technologies for innovation and growth, optimizing compute resources becomes crucial not only for financial

sustainability but also for environmental responsibility.

• Distributing computing efforts strategically to maximize resource utilization and minimize wastage.

• Investing in Spotify’s Hendrix ML Platform, which streamlines AI training and serving processes for models with over 70 billion parameters.

• Collaborating with cloud service providers to access specialized hardware for efficient model training.

Avin Regmi

Engineering Manager, ML
Spotify

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The evolution from AI Assistants to Intelligent Agents marks a significant shift in computing, moving from task-specific functions to the orchestration of complex workflows. This presentation will explore what AI Agents are, their architecture, and their current state, focusing on how advancements in large language models (LLMs) have enabled these agents to integrate and manage tasks across diverse applications. Attendees will learn about the core components that distinguish AI Agents. Through real-world use cases, we will showcase their transformative potential in enterprise settings, highlighting their ability to revolutionize business processes and decision making.

Sachin Solkhan

Vice President AI Search Platform
Fidelity Investments

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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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Generative AI is entering a new phase of innovation due to the emergence of more specialized, domain-specific, and integrated solutions. Gartner believes that by 2027, over half of the Generative AI models used by enterprises will be domain-specific (industry or business function), up from 1% at the beginning of 2024. As AI models become more industry-specific, businesses will benefit from greater efficiency, improved compliance, and reduced risks. Join us to see how: 

• Enterprise Generative AI is advancing toward industry-specific, specialized applications that drive efficiency and innovation. 
• AI solutions like Leah exemplify how domain-specific applications can offer intelligence and automate complex workflows, allowing professionals to focus on strategic decision-making. 

Join this session to discover how specialized generative AI solutions can transform your industry's workflows and create new opportunities for growth and innovation. 

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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Karen Walker

Vice President – Technology Solutions
CBL Properties

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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

Former Global Co-GM, Digital Product Innovation
Nike

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Arjun Srinivasan

Head of Data Science (AI/ML/GenAI)
Wesco

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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.

Sudipto Ghose

Vice President
Equifax

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Sadananda Narayanappa

LM Fellow/Chief data scientist LM Space, IT&DE
Lockheed Martin Space

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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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Join us as we explore actionable strategies for optimizing value and return on investment from Generative AI. In this talk, Arjun will delve into how businesses seeking to leverage generative AI on a budget can

effectively drive innovation and achieve tangible results.

• Developing a business-focused technology strategy and roadmap aligned with organizational objectives.

• Democratizing AI by fostering collaboration and knowledge-sharing within the community.

• Use case prioritization - Prioritizing use cases based on effort, impact, accuracy, cost effectiveness, scalability and risk profile

Arjun Srinivasan

Head of Data Science (AI/ML/GenAI)
Wesco

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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.

Muhammad Anwar Ul Haq

Director, Avion Data
RBC

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Generative AI (Gen AI) is transforming industries, but its success hinges on the quality of the data fueling it. While the impact of data quality on traditional analytics and machine learning is well-understood, the stakes are even higher for Gen AI. Forrester's assertion that "Data Quality is Now the Primary Factor Limiting Gen AI Adoption" underscores the critical role of data in realizing the full potential of this transformative technology.Join Austin as he explores the specific challenges and opportunities posed by data quality in the context of Gen AI. From bias and fairness to accuracy and reliability, we'll delve into the key factors that can make or break a Gen AI project. Discover practical strategies and tools to help your organization navigate these complexities and move from proof of concept to enterprise-wide deployment.By the end of this session, you will have a deeper understanding of:

·       The unique data quality challenges specific to Gen AI

·       The critical role of data quality in ensuring reliable and ethical Gen AI models

·       Practical strategies for improving data quality and mitigating risks

·       Tools and techniques for effective data management in Gen AI environments

Austin Cook

RVP of Solution Engineering
Dataiku

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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.

Perry Philipp

Chief Data Officer
Entain Group

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Nadia Wood

Senior Machine Learning Engineer
Mayo Clinic

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Richard Smullen will share his journey from a frustrating customer service experience to recognizing a common challenge for businesses and consumers. He will highlight the importance of data readiness and responsible use of generative AI to transform customer engagement with personalized, efficient solutions. By offering insights on assessing data quality, setting clear objectives, starting with pilot projects, and prioritizing ethics, Richard aims to equip the audience with actionable strategies. He'll address challenges like data privacy and integration, inspiring businesses to leverage AI for innovation and success.

Paul Johns

CGO
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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