Spotlight on Applied AI
A Series Featuring Real-World AI Experts
By Invitation Only
Join us on a journey at the forefront of technology as we focus on the practical applications of AI through the eyes of top business leaders, entrepreneurs, and researchers.
Omaxn's exclusive series, ‘Spotlight on Applied AI,’ features experts who bring AI to life by translating complex concepts into practical business strategies.
Each episode in this series is designed to showcase the real-world impacts of AI in the business world, from strategy development to hands-on execution. We highlight the individuals shaping, building, and protecting AI in today's digital landscape.
Upcoming Events
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Implementing GenAI: A Blueprint for Business Transformation
May 14, 4 p.m. - 5 p.m. CT
Discover the power of AI through success stories of companies that transformed their business with cutting-edge applications. Learn about the strategy, operational model, and architecture that make the AI journey fruitful. Discover various solution archetypes and real-life examples of businesses that scaled from pilots to market-ready products with Responsible AI at the helm.
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Generative AI in Retail: Real-Life Examples and Best Practices
June 4 | 4 p.m. - 5 p.m. CT
The introduction of generative AI presents an exciting opportunity to transform the retail industry by achieving better business outcomes and improving productivity across the board, from shopping experiences to store associate workflows and supply chain operations. In this session, we will explore real-life examples of how retailers have successfully implemented GenAI, from proof of concept to enterprise-scale solutions.
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Optimizing Data Supply Chains from End-to-End
July 16 | 4 p.m. - 5 p.m. CT
Morningstar is one of the world’s leading providers of financial data. In this fireside chat, we will discuss how Morningstar is pursuing a human-powered and AI-enabled data mesh operating model. We will cover some of the methods and tools required to pursue primary data collection from structured and unstructured sources through modern metadata management best practices and culminate with inference generation at scale.
