Health 3.0 – Bringing the Data Together | Kisaco Research

From siloed data streams to seamless integration, Health 3.0 is here and it’s reshaping how fitness, clinical, and lifestyle data come together to drive healthier living. We’ll explore how unified platforms and AI are generating predictive insights, enabling real-time coaching, and empowering members with visibility and ownership of their health journey. Walk away with a blueprint to turn fragmented data into personalized experiences, stronger outcomes, and scalable business value.

Session Topics: 
Data
AI
Digitalization
Consumer Behaviour
Women's Health
Speaker(s): 

Author:

James LaValle

Chief Science Officer
Life Time

James LaValle

Chief Science Officer
Life Time

Author:

Jarett Smith

Vice President Digital, Data & Retail
24 Hour Fitness

Jarett Smith

Vice President Digital, Data & Retail
24 Hour Fitness

Author:

Mark Williams

Digital Director
David Lloyd Clubs

Mark is the Digital Director for David Lloyd Clubs, Europe’s leading wellness operator, responsible for improving digital experiences for 800,000 members across 135 clubs in Europe.

With extensive experience in delivering digital strategy across retail, hospitality, and leisure, Mark has spent the past six years at David Lloyd Clubs creating personalised digital experiences and is currently leading AI, Machine Learning and Wearable initiatives to further enhance member and club experiences.

 

Mark Williams

Digital Director
David Lloyd Clubs

Mark is the Digital Director for David Lloyd Clubs, Europe’s leading wellness operator, responsible for improving digital experiences for 800,000 members across 135 clubs in Europe.

With extensive experience in delivering digital strategy across retail, hospitality, and leisure, Mark has spent the past six years at David Lloyd Clubs creating personalised digital experiences and is currently leading AI, Machine Learning and Wearable initiatives to further enhance member and club experiences.

 

Time: 
9:00 AM - 9:50 AM
Agenda Track No.: 
Track 3
Session Type: 
Track
Session Stage: