Join us for Reuters Momentum AI 2024
The unrivaled AI Summit where 500+ senior leaders in business, technology, and policy gather together to shape an AI roadmap that balances unprecedented innovation with the unwavering responsibility demanded by the high-stakes game.
![](https://cdn.prod.website-files.com/6436aca7069acc764910d397/666204926e3d2b918cc62113_reuters-momentum-about.webp)
Join Gustavo Sapoznik on Day 1
Title: Scaling with Generative AI: A Team Sport
Date & Time: July 16 @ 10:40am PST
In today’s technological landscape, enterprise organizations face increasing demands for advanced solutions, with generative AI at the forefront. Generative AI offers unprecedented opportunities, but leveraging it effectively requires a strategic approach beyond traditional methods. Rapid development necessitates close collaboration between organizations to pilot and scale AI-driven solutions, ensuring they meet business needs and deliver exceptional value.
A fireside chat with Jay Persaud, EY Global Leader of Emerging Technology Ecosystem, and Gustavo Sapoznik, Founder and CEO of ASAPP, will highlight the importance of these collaborations. They will discuss the transformative impact of generative AI on global businesses and the significance of strategic partnerships. The conversation will explore innovative solutions in generative AI, big data, and cybersecurity, showcasing their revolutionary impact on industries and enterprises.
Meet the
Speakers
![](https://cdn.prod.website-files.com/6436aca7069acc764910d397/6662098a3e963b713a1c24a7_gustavo.webp)
![](https://cdn.prod.website-files.com/6436aca7069acc764910d397/66630afcaaf9c8194c943656_jay-ey.webp)
Exclusive dinner at Rollati Ristorante, San Jose
Tuesday, July 16th at 7:30PM
![](https://cdn.prod.website-files.com/6436aca7069acc764910d397/66620acf6127616bdc1a209c_reuters-restaurant.webp)
What can ASAPP do for you?
ASAPP builds vertical AI products to help enterprises transform and elevate customer experience. We elevate human capabilities with our Generative AI solutions and tackle the most complex problems in data-rich customer service environments where automation can save costs and improve customer experiences.