Free Webinar: Machine Teaching: AI with Explainable Skills & Behavior
Topics to be covered:
Machine learning and deep learning have had a great impact on the AI field by enabling AI models to learn from data with explicit rules programming. However, explaining its decisions may become challenging and costly. Here comes the value of the "Machine Teaching" approach, which enables the designer to equip AI systems with skills and behaviors that are easy for humans to understand.
This webinar will introduce the "Machine Teaching" concept and its power to build AI systems that can have explainable skills and behavior by design, even the complex ones, providing insight to move forward towards better waves of the AI systems.
Speaker’s Info
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..
Fees & How To Apply
- This webinar is for Free
- To apply: Fill in the registration form here Register Now ...
