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World AI Cannes Festival 2026

Join Reply at the World AI Cannes Festival and discover how AI is transforming industries and accelerating value creation.

 

Info
February 12 – 13, 2026
Palais des Festivals, Cannes
French

Harness the Potential of AI at WAICF 2026: Where Innovation Meets Impact, with Reply

The World AI Cannes Festival (WAICF) is the leading international event for AI leaders, innovators, and decision-makers. Reply will showcase how enterprises can industrialize AI across software delivery and business processes, generating measurable impact and accelerating decision-making.

What You’ll Experience:

  • Discover how AI drives innovation, efficiency, and competitive advantage

  • Interact with Reply’s AI-powered and agent-based solutions

  • Learn how to integrate AI into your business processes and decision-making

  • Gain insights from real customer success stories

  • Connect with Reply experts and expand your professional network

Visit Booth J19 for live demos, expert guidance, and a first-hand look at the future of business. 

try out
come visit our booth to experience G1 and Digital Frame in action—see AI come to life and interact with you in real time!
discover
how we turn technology into tangible business value through real-world success stories featuring our customers.
connect
with our experts to uncover opportunities, address challenges, and shape a forward-looking digital strategy.

panel discussion (Mediterranee Room, february 12th at 10:25)

Are world models the next big leap for AI ?

World models are emerging as a promising step toward more general and autonomous AI systems. In this panel discussion, Hédi Aloui, Partner at Data Reply FR, alongside Nikhil Malhotra, CIO of Tech Mahindra, Bijit Ghosh Managing Director at Wells Fargo and James Massa, Senior Executive Director at JP Morgan Chase, will explore how they reshape reasoning, planning, and real-world interaction — and whether they signal a new AI paradigm.

World models refer to a system’s internal representation of its environment, enabling it to predict outcomes, simulate scenarios, and make decisions with greater autonomy. However, their universality remains limited: trained on specific data and experiences, they may struggle to generalize to entirely new situations.

They also raise safety and reliability questions: can we trust AI systems to act autonomously when their understanding of the world is inherently incomplete?

Demo Sessions

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Accelerate your Intelligent Enterprise !