AI & the Future of Work
Presented by IBM Watson and The New York Times. Learn how AI is playing a role in re-envisioning work.
Key Trends in AI
Marc Lavallee, Executive Director, R&D, The New York Times
Join Marc Lavallee from The New York Times to learn about key trends in AI and how AI will impact our organizations and our lives.
Path to Managing AI
Jacques van Niekerk, Global CEO, Wunderman Thompson Data
Daniel Hernandez, VP, Data and AI, IBM
Ruchir Puri, IBM Fellow and Chief Scientist, IBM Research
Join this session to learn how Wunderman Thompson Data is experiencing increased ROI by using AutoAI with IBM Watson to create scalable machine learning models and to discover new customer insights.
AI in Customer Care
Sara Hines, Strategic Innovation Director, Humana
Michael Meyer, Chief Risk and Innovation Officer, MRS BPO
Lakisha Hall, Director, Data and AI Expert Labs and Learning, IBM
Yuval Saban, Associate Partner, Cognitive, Big Data and Analytics, IBM Services
Learn how Humana and MRS BPO are transforming customer service by adopting Watson technologies to better serve their customers with greater speed and agility, across any channel.
How to Scale AI
Tom Haslam, Managing Director, Data & Analytics, Strategy & Innovation, KPMG
Brian Mullaney, Chief Revenue Officer, Crushbank
Sara Hines, Strategic Innovation Director, Humana
Ritika Gunnar, VP, Data and AI Expert Labs and Learning, IBM
Key ingredients to scale AI include data, process, and culture. Learn how KPMG, CrushBank, and Humana are embracing cultural shifts to scale AI.
5 Lessons in Analytics
Gary Corrigan, SVP, Sales & Account Management, QueBIT
Janine Sneed, CDO & VP Customer Success, IBM
Ed Weber, Global Sales Executive, IBM
Matt Chalmers, NA Sales Lead, IBM
Discover how clients are transforming their performance management and BI with IBM Planning Analytics and Cognos® software. Learn how these cutting-edge tools are using AI to transform user experience and results.
Virtual Summit: AI & the Future of Work
Learn how clients are transforming customer and employee experiences, managing AI workflows, and scaling AI across use cases.