Agenda
"AI Woodstock"
Reception
Main Stage
Keynotes
Industry-Specific
Tracks
Lightning
Talks
Investors, VCs, & AI Startups
GenAI Leadership Summit Conference 2024
Hear from enterprise AI leaders who are achieving meaningful ROI with their GenAI initiatives and learn how you can drive your GenAI efforts forward. Our conference focuses on practical GenAI applications, compelling case studies, a robust business case playbook, and insights from leading GenAI entrepreneurs, scientists, and pragmatic academics from Harvard and MIT.
PRE-CONFERENCE
Sunday, Oct 6th
5:00 pm: AI Woodstock Conference
7:00 pm: End of Day
AGENDA AT A GLANCE
DAY ONE: General Sessions
Monday, Oct 7th
7:30 am: Registration
8:00 - 9:00 am: Breakfast
9:00 - 9:20 am: Harnessing GenAI for Transformative Value: Lessons from 2024 & Predictions for 2025/2026 with Prof. Shikar Gosh on Exponential Technologies in Business.
Paul Baier, John Sviokla, Shikar Gosh
9:20 - 10:20 am: Stories from the Front Line: Top Leaders Share Transformative GenAI Journeys and AI-Driven Successes in Payments, Insurance, and Healthcare.
Melissa Smith, John Spottiswood, Bill Fandrich
10:20 - 10:40 am: Making it Real: Using our WINS Framework to Assess Your Firm’s Susceptibility to GenAI’s Economic and Mastering Prompt Engineering.
John Sviokla, Adam Rappaport
10:40- 11:05 am: Break & Networking
11:05- 11:10 am: Cognitive Robot Demo: Selection of Impressive Co-Intelligence Agents
11:10:- 11:35 am: The Future of Co-Intelligence – How Digital Humans and Humans Will Collaborate: And What It Means for Your Talent Strategy.
Tom Davenport, Jen Stave, Mary Purk, Paloma Shelton
11:35- 11:55 am: What are the Important Value Trends for Individuals and Investors?
UBS representatives (Moderator TBD)
11:55- 12:00 pm: Morning Wrap Up, Implications, Questions.
Paul Baier or John Sviokla or Jeffrey Rayport or Shikar Gosh
12:00- 1:00 pm: Lunch & Topic Tables: Peer to Peer Conversations on Key Issues
1:00- 2:00 pm: Breakouts (see breakout tracks below)
2:00- 2:30 pm: The View From Key Suppliers: NVIDIA, Google, MSFT, AWS, A21: What’s Here and What’s Coming
Ted Shelton, Sri Elaprolu, Andy Roberts, Kevin Shatzkamer, Yasmina Benkhoui
2:30- 2:40 pm: Guarding Your Key Intelligence Assets in the Time of AI
Ted Shelton, Ann Stemlar, Andy Fanning
2:40- 3:00 pm: Enterprise AI/GenAI Buying Trends
Toby Redshaw, Pat Condo, Igor Jablokov
3:00 - 3:20 pm: Break
3:20- 4:00 pm: Breakouts (see breakout tracks below)
4:00- 4:30 pm: How Will We Reach Our Customers? The Coming SEO Bloodbath
David Edelman, Pete Blackshaw
4:30- 4:40 pm: Trends, Implications, Questions from the Day
Paul Baier and John Sviokla
4:40- 6:30 pm: Reception: AI Enabled Music and Art
Breakout Track 1: Healthcare/Life Sciences
1:00- 1:20 pm: Transforming Provider Care from Top to Bottom, A Portuguese Story
Jose Pedro Almeida
1:20- 1:40 pm: AI in Healthcare: How Knowledge On Demand is Changing Care Delivery
Margin, Badri, Inizio
1:40- 2:00 pm: Remaking a 160 Year Old, World Leading Healthcare Organization
Tom from Mayo Clinic
3:20- 4:00 pm: Advanced AI in Production in Healthcare:
Ryan Vega and Andy Fanning
Breakout Track 2: Business: Sales/Customer Service
1:00- 1:20 pm: Reinventing Weather Intelligence
Dan Slagen
1:20- 1:40 pm: Leveraging AI to Empower Clients for Growth, Finance and Talent
Vinay Gidaway
1:40- 2:00 pm: Reinventing Business Education and Research at the Harvard Business School
Jen Stave
3:20- 3:40 pm: Managing the Board of Directors about AI
Nina Grooms Lee, Jeffrey Rayport
3:40- 4:00 pm: How to Organize to Take Advantage of Data and AI
Randy Bean
Breakout Track 3: Financial Services and Learning
1:00- 1:20 pm: The 6 Disciplines Companies Need
Tom Davenport
1:20- 1:40 pm: Reinventing Financial Services at Scale Perspectives from the C-Suite
Chris McKay and TBD
1:40- 2:00 pm: Practitioners in FS Making it Real:
Kjersten Moody
3:20- 3:40 pm: Learning how to Teach and Research with GenAI
Usama Fayyad
3:40- 4:00 pm: GenAI use and Training on the Ground
DAY ONE: Breakout Sessions
Monday, Oct 7th
DAY TWO: General Sessions
Tuesday, Oct 8th
9:00- 9:10 am: Welcome: Summary of Day 1 Preview of Day 2
Paul Baier, John Sviokla
9:10- 9:30 am: Making Decisions Inside the Tornado: A Case Study
Jeffrey Rayport
9:30- 9:50 am: Promise or Peril? Investing in the AI Wave from a Venture Capital Perspective
Scott Kirsner, Chip Hazard, Rudina Seseri
9:50- 10:10 am: Transforming Existing Firms: A Private Equity Perspective
Jeffrey Rayport, Ian Robertson, Erik Oken
10:10- 10:25 am: Teaching the Giant to Dance: The Art of Agility
Sheila Jordan
10:25- 10:30 am: Prompts and Startups
Picture and title TBD
10:30- 1:50 pm: Breakouts, Lunch, Breakouts
1:50- 3:00 pm: Risk Frontiers: Ownerships, Liability, Responsibility and Regulation
John Sviokla, Sandeep Sacheti, Anne Stemlar, Thomas Kingsley
3:00- 3:20 pm: Break and Networking
3:20- 3:40 pm: Time to Reimagine the World, Co-Workers and Co-Intelligence: A Robot Demonstration
Tom and the Robots
3:40- 4:00 pm: How to Foster an AI Ecosystem: The Massachusetts Plan
John Werner and Yvonne Hao
4:00- 4:15 pm: Implications of What You’ve Heard and Thoughts for 2025
Paul Baier, John Sviokla
DAY TWO: Breakout Sessions
Tuesday, Oct 8th
Breakout Track 1: General
8:00- 9:00 am: Women in AI Breakfast
Sponsor: TBD
11:00- 11:20 am: Breaking the Back of Bureaucracy: Reinventing Ensemble Health
Pieter Schouten
11:20- 11:40 am: From Data to Insight: What Oracle Sees Happening in Healthcare
Chris Broone
11:40- 12:00 pm: TBD (WEKA, Honeywell, etc.)
1:00- 1:20 pm: Challenges with Implementing AI in Healthcare
Sahar Hashmi
1:20- 1:40 pm: How to Choose Successful AI Project: The PRISM Framework
John Sviokla
Breakout Track 2: Business: Sales/Customer Service
11:00- 11:20 pm: AI In The Academy
Mary Purk
11:20- 11:40 pm: The View From the CEO Perch
Chris McKay
11:40- 12:00 pm: TBD
1:00- 1:20 pm: The Market Map for AI and Its Use
Phil Fersht
1:20- 1:40 pm: Workshop Employee Training
Paul Baier
Breakout Track 3: Financial Services and Learning
11:00- 11:20 am: Teaching an Old Law Firm New Tricks
Anne Stemlar
11:20- 11:40 am: TBD
11:40- 12:00 pm: TBD
1:00- 1:20 pm: Building an Enterprise LLM in 5 Minutes
1:20- 1:40 pm: GenAI Sales Training for Busy Professionals
General Session Topics
-
Harnessing GenAI for Transformative Value: Lessons from 2024 & Predictions for 2025/2026 with Prof. Shikar Gosh on Exponential Technologies in Business
-
Stories from the Front Line: Top Leaders Share Transformative GenAI Journeys and AI-Driven Successes in Payments, Insurance, and Healthcare
-
Making it Real: Using our WINS Framework to Assess Your Firm’s Susceptibility to GenAI’s Economic and Mastering Prompt Engineering.Cognitive Robot Demo: Selection of Impressive Co-Intelligence Agents
-
The Future of Co-Intelligence – How Digital Humans and Humans Will Collaborate: And What It Means for Your Talent Strategy
-
What are the Important Value Trends for Individuals and Investors?
-
The View From Key Suppliers: NVIDIA, Google, MSFT, AWS, A21: What’s Here and What’s Coming
-
Making Decisions Inside the Tornado: A Case Study
-
Promise or Peril? Investing in the AI Wave from a Venture Capital Perspective
-
Transforming Existing Firms: A Private Equity Perspective
-
Teaching the Giant to Dance: The Art of Agility
-
Prompts and Startups
-
Risk Frontiers: Ownerships, Liability, Responsibility and Regulation
-
Time to Reimagine the World, Co-Workers and Co-Intelligence: A Robot Demonstration
-
How to Foster an AI Ecosystem: The Massachusetts Plan
-
Implications of What You’ve Heard and Thoughts for 2025
-
Guarding Your Key Intelligence Assets in the Time of AI
-
Enterprise AI/GenAI Buying Trends
-
How Will We Reach Our Customers? The Coming SEO Bloodbath
-
Trends, Implications, Questions from the Day
Explore Industry-Specific Tracks with Case Studies
Life Sciences & Healthcare
CASE STUDY:
How One Major Hospital System Is Building Their Own LLM
CASE STUDY:
Drug Discovery with AI and GenAI
CASE STUDY:
How GenAI Is Transforming the Patient Experience from Education to Diagnosis, Product Selection to Adherence
Sales & Customer Service
CASE STUDY:
Our Lessons: Does the CSR Always Have to Be “In the Loop”?
CASE STUDY:
Redesigning Dialogue with GenAI - How We Reduced Costs and Increased NPS
CASE STUDY:
Monitoring AI Model Accuracy and Model Drift in Customer Service GenAI Production System
Financial Services
CASE STUDY:
Turbocharging Risk Assessment and Fraud Detection
CASE STUDY:
Transforming Customer Relationships
CASE STUDY:
Refining Business Strategy for Insurance in the AI Age
Full agenda coming soon - Stay tuned for the detailed agenda!