Join us for an in-depth conversation with Dr. Zuhair Khayat, CTO and co-founder of Lucidya, a groundbreaking AI company revolutionizing customer experience in the Middle East. From his journey through academia at KAUST to pioneering Arabic language AI solutions, Dr. Khayat shares invaluable insights on building technology for Arabic markets. Discover how Lucidya is tackling unique challenges in Arabic language processing, managing customer experience across dialects, and leveraging AI for brand management in the MENA region.

Learn how Lucidya is transforming social listening and customer intelligence through advanced AI. From sophisticated sentiment analysis to real-time brand monitoring across multiple dialects, discover the future of customer experience management.

Learn more: http://go.aws/47yubYq

Lucidya Website: http://go.aws/4846zeH

Dr. Khayat's Research: https://scholar.google.com/citations?...

Chapters:

00:00 - Introduction

02:27 - Lucidya's Origin Story

05:20 - AI startup vision before GenAI

07:30 - From Saudi Arabia to the world.

08:11 - Lucidya’s Long Term Mission

08:59 - What is Customer Experience ?

10:55 - Lucidya’s Value Proposition

12:18 - Use Cases : Brand Managment

17:20 - Use Cases : Customer Support

19:14 - Use Cases : Market Research

20:43 - Use Cases : Marketing Optimization

21:52 - Building Products in GenAI Era

25:58 - Keeping up with the AI innovations

26:45 - Product bundles from Research to Support

28:50 - Evolution of Challenges for Building AI Models

30:18 - ASAD - Arabic Sentiment Analysis Data

31:22 - Navigating Ambiguity in Human Communications

33:40 - Managing Biases in Data with agents

38:02 - Arabic Dialects Support

40:41 - Split Learning, Collaborative Training on Private Data on the Cloud.

47:10 - Opportunities for Split Learning in Regulated Industries

49:35 - U shape Learning as a Collaborative Framework for Privacy

50:12 - a CTO’s advise for AI startups

53:20 - Choosing the right architecture on AWS for your team

55:45 - The Future of AI.

58:06 - Closing Remarks