Use Cases for Artificial Intelligence in the Product Experimentation Lifecycle
Details
Join us for an enlightening keynote talk on “AI Integration in the Product Experimentation Lifecycle”!
Discover how artificial intelligence is revolutionising product experimentation from start to finish. Our expert speaker, Nils Stotz, will share groundbreaking insights from his research, which includes interviews with 36 industry experts. Learn about numerous innovative AI use cases and uncover the key benefits and challenges of integrating AI into your experimentation processes.
This talk will delve into how AI can enhance every step of your workflow, from idea generation and hypothesis formulation to experiment design, execution, data analysis, and the implementation of learnings. Plus, you will be able to gain practical strategies for overcoming common AI challenges and hear real-world experiences of successful AI integration.
Don’t miss this opportunity to explore the future of product experimentation with AI. Be part of the conversation and take your experimentation to the next level!
The event is free; however, registration is required for organisational purposes.
Some refreshments will be provided.
ABOUT THE EVENT
Use Cases for Artificial Intelligence in the Product Experimentation Lifecycle
Date: 27.11.2024
Time: 18:00 - 20:00 CET
Agenda:
- 18:00 - Arrival & networking
- 18:20 - Welcome note ProductTank Heidelberg
- 18:25 - Sponsor presentation (Springer Nature)
- 18:30 - Keynote presentation & Q&A
- 19:20 - Closing words & networking (optional)
ABOUT THE VENUE
Springer Nature
Europaplatz 3; Floor 3
69115 Heidelberg
OUR SPONSOR
Springer Nature
Springer Nature advances discovery by publishing trusted research, supporting the development of new ideas and championing open science. They are committed to playing their part in accelerating solutions to address the world’s urgent challenges.
https://www.springernature.com/gp
ProductTank Heidelberg Organisers
Anja Riedel
Ivelina Todorova
Swanand Marulkar
Use Cases for Artificial Intelligence in the Product Experimentation Lifecycle