Premium Stages

View AI at Scale Stage Agenda

Embark on a strategic exploration of AI implementation and scaling at the AI at Scale Stage. This comprehensive two-day stage is designed to equip business leaders with the essential strategies and insights needed to navigate the dynamic landscape of artificial intelligence in the enterprise.

Highlighted Sessions:

Real-World Scaling Strategies from Business Leaders

Discuss key strategies for scaling AI initiatives, focusing on maximizing impact and ROI. We will explore real-world case studies, the decision between building or acquiring AI solutions, and the importance of strong partnerships with AI providers.

⚙ Fed Cohen Freue, Senior Vice President, AI & Data - Mastercard

⚙ Miguel Olarte, Global Breakthrough Innovation Lead - Diageo

⚙ Andrew Rabinovich, Head of AI and ML - Upwork

Navigating the Global AI Landscape: Striking a Balance Between Regulation and Innovation

Regulation will shape innovation and growth in the AI industry, with recent developments impacting both global and regional businesses. Global collaboration on AI must navigate geopolitical tensions and competing national interests to succeed.

⚙ Harmeen Brenner-Birk, Senior Consultant Gen AI - Citi group

⚙ Kristin Johnson, Commissioner - U.S. Commodity Futures Trading Commission

⚙ Eileen Vidrine, CEO & Founder - Vidrine Vantage (Former Department of the Air Force Chief Data & AI Officer)

View Next Generation Stage Agenda

The Next Generation Stage delves into the cutting edge of AI, focusing on the development of forward-thinking applications, infrastructure and hardware. Leading innovators will showcase latest thinking, prototypes, models in use, and recent breakthroughs through engaging use cases, demos, and technical presentations.

Highlighted Sessions:

Building AI on a Budget: Fast, Affordable, and Efficient Infrastructure ​​​​​​

Discover cost-effective strategies for AI storage, compute, and data management while optimizing performance. This session will provide expert insights into building a future-proof AI foundation without overspending.

⚙ Vanessa Lopes, ML Engineer - European Central Bank

⚙ Gaurav Tiwari, Engineering Manager - Spotify

Vision of Tomorrow: Exploring Next-Gen Infrastructure for Frontier AI

Explore the future of AI, focusing on next-generation hardware and software advancements. This discussion will cover revolutionary technologies like neuromorphic chips and quantum algorithms that will push the boundaries of AI capabilities.

⚙ Davood Shamsi, Executive Director of ML/AI - JPMorgan

⚙ Dr. Lawrence Ampofo, Strategy & Transformation Lead - Vodafone Intelligent Solutions (VOIS)

View Finance Stage Agenda

The Finance track provides a comprehensive exploration of the latest AI solutions revolutionizing key categories within the financial services sectors. A significant focus is placed on the impact of generative AI, safeguarding digital integrity, ethical development, and celebrating women leaders in the field. The track addresses the challenges and risks of AI integration, offering insights into responsibly leveraging AI opportunities.

Highlighted Sessions:

Navigating Uncharted Waters – Identifying Systematic Risks of AI in Finance​​​​​​

AI introduces unique challenges and systematic risks to the financial landscape, requiring careful regulation to safeguard system integrity. Discover how collaboration among stakeholders is crucial to mitigate these risks and shape future governance in financial services.

⚙ Benjamin Dynkin, Executive Director, Cybersecurity Client Office Group - Wells Fargo Cybersecurity

⚙ Hariom Tatsat, Vice President, AI Quant - Barclays Investment Bank

⚙ Magdalena Konig, General Counsel - AIQ

Visioning the future – AI in Financial Services

AI is expected to significantly transform banking, investment, insurance, and fintech in the next decade, driving innovation while raising concerns about the ethical use of sensitive financial data. This session highlights the need for regulatory changes to accommodate the increasing role of AI in finance.

⚙ Sreya Francis, Head, Technical Innovation - Farm Mutual Re

⚙ Dipanjan Paul, AI/ML Leader - Marsh McLennan

View Industries Stage Agenda

This industry-focused track delves into how AI significantly impacts various sectors, highlighting its role in enhancing efficiency, sustainability, personalized experiences, and innovation. It explores AI’s influence in Smart Cities, Life Science, Retail, Media and Advertising, underscoring the strategic, ethical, and secure implementation of AI to optimize industry growth and address unique challenges.

Highlighted Sessions:

Safeguarding Data and Innovation in Healthcare​​​​​​

This panel emphasizes the need to balance data ethics and security with innovation in healthcare. We will highlight the current challenges in safeguarding sensitive data, evolving threats, and the shared responsibility of stakeholders to protect privacy and integrity.

⚙ Ellie D. Norris, Director, Data & Analytics Strategy for Clinical & Real-World Evidence IT - Merck

⚙ Joanne Charles, Associate General Counsel - Gilead Sciences

⚙ Theodoros Zanos, Head, Division of Health AI - Northwell Health

Leveraging AI for Global Good: Real-world Applications Tackling Climate Change, Education and Beyond

AI is transforming global challenges through successful initiatives, while addressing ethical concerns and biases. Join as we discuss a future vision for AI's role and ways to get involved in its development.

⚙ Alexander Diaz, Head of AI for Social Good - Google

View Practitioners Stage Agenda

This stage will see practitioners from all verticals, industries and walks of the AI ecosystem come together to share insights and learn the best methodologies and practices to drive better data competencies and insights. This technical-led stage, for practitioners, by practitioners, will educate through use cases and how-to-guides to create actionable takeaways for immediate use within organizations.

Highlighted Sessions:

Data Streams and Dreams: Building the Backbone of AI​​​​​​

This session explores architectural considerations for managing large-scale data streams focus on scalability and low-latency processing. We will cover how integrating data streaming with AI frameworks enhances real-time decision-making, particularly with the growing influence of IoT and sensor data.

⚙ Sai Sharanya Faye, Principal Data Scientist | Data Science Core - Nike

⚙ Ishita Ghosh, Senior Manager Data Science - Walmart

The AI Talent Crunch: Solutions for Skill Gaps and Training Needs

Discover innovative solutions to address the talent shortage in practitioner roles and how educational institutions are evolving to meet the demand. We will highlight current AI workforce skill gaps and strategies for talent development in enterprise organizations.

⚙ Magdalena Orascanin, CEO & Founder - Magnate