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Join us for an engaging discussion on Generative AI (Gen AI) and its transformative potential in various domains with IBM's Mash Zahid as our speaker!

Delve into the complexities of Gen AI adoption through live coding sessions and model demonstrations. Our discussion will encompass crucial topics including:

- Data Collection and Quality:

Explore the significance of high-quality data in training Gen AI models. How do we ensure data integrity and quality in AI projects?

- Explainability and Interpretability:

Unravel the challenges of understanding Gen AI model decisions. Gain insights into assessing model transparency and interpretability for deploying them effectively.

- Bias and Ethics:

Delve into the ethical considerations surrounding Gen AI adoption. Learn about strategies for mitigating biases and upholding ethical standards in data governance and AI practices.

Indulge in an assortment of pastries, snacks, and refreshments during the event. Kindly RSVP to assist us in arranging adequate refreshments.

Speaker: Mash Zahid

Mash is an AI strategist with a passion for turning cutting-edge technology into practical solutions. As Associate Partner and Gen AI Practice leader at IBM Consulting, he's led the development of AI systems that have saved energy companies millions and helped improve operations efficiency by double-digit %.

His expertise lies in using AI for predictive analytics, algorithmic optimization, and personalized experiences. Previously, he held leadership roles at KPMG, Amazon, and The Home Depot where his data-driven approach was featured in a Harvard Business Review cover story. Mash has an MBA in Analytic Finance and Accounting, with PhD coursework in Behavioral Finance, from The University of Chicago Booth School of Business.

Event Details: 

Date: March 2nd, 2024

Time: 10 am - 11:30 am

Location: AI Center, Wolfson Campus



See you soon!


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