Eleodor Sotropa

Experienced Machine Learning, Artificial Intelligence, Data Strategy, Information Technology, and Shared Services Executive Things that matter:  • five largest ML models created at P&G, with over 10,000 pipeline runs/year • initiated and operated THE data labeling platform and services for ML at P&G, with 300+ projects and millions of annotations on the platform • Generative AI strategy for the Global Business Units Shared Services for the Brand, R&D, Manufacturing, Supply Chain, Master Data + eComm functions • Product Management leadership for enterprise-wide Cloud applications combining data and AI Education Harvard Business School Executive Education: Artificial Intelligence (Competing in the Age of AI). Northwestern University: Executive Strategies to Unlock Enterprise Value in Artificial Intelligence University of Bucharest: Master of Computer Science from the Faculty of Mathematics CIIM - Master of Business Administration (MBA) with a focus on Finance Key Certifications: AWS Certified Machine Learning – Specialty Azure ML Artificial Intelligence Certification Data Camp Certified Data Scientist (Python Track)

Generative AI: A “How to Get Started” Guide for Functional Leaders

by

Beyond Traditional AI: The Power of Generative AI Generative AI is rapidly transforming the technological landscape, offering capabilities that extend far beyond traditional AI models. For CEOs, understanding and harnessing the potential of generative AI is essential for future success. Strategizing for Generative AI Success Generative AI demands a holistic approach, moving beyond isolated experiments … Read more

Harnessing Generative AI in Business: A Deep Dive

by

The Dual Facets of Generative AI Applications Generative AI applications can be broadly categorized into two distinct types. The first encompasses applications that utilize foundation models with minor customizations, enhancing user experience and output quality. The second, and arguably more transformative, involves applications that deploy fine-tuned foundation models, tailored for specific use cases. This fine-tuning … Read more

Exploring the Generative AI Ecosystem: A Comprehensive Guide

by

The Hardware Behind Generative AI Generative AI demands vast amounts of data to generate content. For instance, OpenAI’s GPT-3 was trained on a staggering 45 terabytes of text data. Traditional computer hardware falls short in handling such workloads. Instead, these tasks necessitate large clusters of GPUs or TPUs equipped with specialized accelerator chips. While the … Read more