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Saed Khawaldeh is a distinguished technology leader and AI expert with a strong focus on leveraging artificial intelligence and data science to drive innovation and digital transformation. He is known for his work in building AI communities, fostering tech talent, and his contributions to the AI ecosystem in the Middle East. Saed has extensive experience in software engineering, machine learning, natural language processing, and product development. He is passionate about ethical AI and its potential to solve complex global challenges, and often shares his insights through speaking engagements and online platforms.
Saed Khawaldeh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded and leads LXT, a company specializing in AI training data, significantly contributing to the development and accuracy of AI models for global clients.
Actively involved in fostering the AI and tech community in Jordan and the broader Middle East, including organizing events, mentorship programs, and workshops.
Recognized as a key voice promoting AI adoption, research, and development within the MENA region, bridging the gap between technology and business needs.
Frequently speaks and writes about the importance of high-quality, diverse, and ethically sourced data for building robust and unbiased AI systems.
Previously held leadership roles, including Director of the Innovation Center at Microsoft in Jordan, driving technology adoption and innovation initiatives.
University of Oxford
Universitat de Girona
Indiana University - Kelley School of Business
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
DESAISIV is an enterprise AI solutions company focused on helping businesses leverage the power of generative AI and data analytics to transform data into actionable insights. They guide organizations through their AI adoption journey, emphasizing responsible AI practices to drive innovation and efficiency across various industries.
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