AI Models as Data Products Challenging the Common Perspective About the AI Economics

Start Date : 28/4/2025 12:00 AMzAprEnd Date : 28/4/2025 12:00 AMzApr
Location : online Category : Webinar
 

Description: 

As "Agentic AI," the next generation of "Generative AI," will become mainstream in 2025, most enterprises worldwide are currently investigating how to capitalize on its powerful impact and the power of the different well-known types of "Generative and Discriminative AI Models."

However, many enterprises face some roadblocks. The current common perspective on "AI Economics" discourages the majority from taking the first step. Although this common perspective is realistic, challenging it may open the doors for innovation to overcome these roadblocks. Here comes the value of dealing with "AI Models as Data Products." This webinar will introduce the "Data Products" concept and its impact on the "Economics of Enterprise AI," providing strategic insight to move forward during 2025 with a better-informed competitive enterprise AI strategy.

Speaker Info:
•Dr. Ahmed S. ELSHEIKH
•Dr. Ahmed, R&D Manager at ITIDA-SECC, helps executives and decision-makers shape their strategies in the disruptive digital economy using broad exposure to a wide range of strategies, business models, methodologies, frameworks, and technologies such as "AI, Data Analytics, FinTech, Metaverse, Business & Enterprise Architecture, Blockchain, Lean Six Sigma, TOGAF, CMMI, and Agile." Furthermore, he helped them to realize these strategies using strategy governance frameworks such as "Balanced Scorecards," "COBIT," and "Objectives & Key Results - OKRs." He obtained his "Executive Doctorate of Business Administration" dual degrees from the SKEMA Business School & iaeLyon School of Management —France. Previously, he obtained an MBA from Warwick Business School—UK and an MSc from AAST—Egypt. He has diversified work experiences as an R&D Manager, Advisor to C-Suite levels, Business & Enterprise Architect, and Executive Coach.
 
Please click here to register
Register