09/25/2024 10:00 AM - AWS Offices Barcelona
AWS and Pleasepoint Event in Barcelona
Event content overview.
- AWS, culture, and artificial intelligence.
- Live demo of generative artificial intelligence.
- Practical use cases and ROI calculation.
- Success story: The Condis experience.
Register for the AWS and Pleasepoint event on September 25 in Barcelona. Spaces are limited.
Predictive Marketing and Generative AI with the best experts from Amazon Web Services and Pleasepoint.
Talks focused on ROI, live demonstrations based on generative AI, and a catalog of use cases for immediate application.
The best use cases.
Activate customer data and generate incremental sales.Live demonstrations.
Personalize the experience with AI from any point.Generative AI in AWS.
Innovate faster with new capabilities and more profitably.These are the contents of the event of predictive marketing and artificial intelligence organized by AWS and Pleasepoint.
The event will be held at the Amazon Web Services (AWS) offices in Barcelona. Registration is mandatory and spaces are limited.
- 1. AWS, CULTURE AND GENERATIVE AI.
- 2. LIVE DEMO OF AWS GENERATIVE AI.
- 3. REAL-TIME PERSONALIZATION (USE CASES).
- 4. PERSONALIZATION IN THE CRM (USE CASES).
- 5. SUCCESS STORY: THE CONDIS STORY.
- 6. USE CASE CATALOG AND IMPLEMENTATION.
Don't miss the upcoming Pleasepoint events!
Join our events and discover the best AI use cases. Learn from experts, participate in live demos, and access success stories that will drive your business.
Amazon Web Services (AWS) Software Partners (ISV).
We are ISV (Independent Software Vendor) partners of Amazon Web Services (AWS) and have been selected for the ISV-Accelerate program.
"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."
Josep Jarque
Digital Project Manager & IT Architect"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."