Open Data Science NY (Hosted by ODSC)

To access this webinar, please register here: https://hubs.li/Q02y4Xjd0

Topic: "Designing AI for Trust - How To Create Value While Setting The Right Guardrails"

Speaker: Cal Al-Dhubaib, Head of AI & Data Science at Further

Cal Al-Dhubaib is a globally recognized data scientist, entrepreneur, and innovator in responsible artificial intelligence, specializing in heavily regulated sectors such as healthcare, energy, and defense. He leads AI and Data Science at Further, a privacy-first data, analytics, and AI company servicing over 100 of the Fortune 500. Cal founded and scaled Pandata, known for responsible AI design and development. Under his guidance, Pandata worked with high-profile clients including Cleveland Clinic, Progressive Insurance, and Parker Hannifin, leading to its acquisition by Further in March of 2024.

Cal frequently speaks on topics including AI ethics, change management, data literacy, and the unique challenges of implementing AI solutions in regulated industries. His insights have been featured in noteworthy publications such as Forbes, Nasdaq, VentureBeat, CDO Magazine, and Open Data Science. Cal has been recognized by Crain’s Cleveland as a Notable Immigrant Leader, Entrepreneur, and Technology Executive.

Abstract:
As AI becomes integral to business strategy, many organizations are navigating the complex interplay between technical innovation, creating business value, and managing risk. In many cases challenges arise with human adoption, alignment with business values, risk management processes, and unexpectedly costly data curation efforts.

With a focus on business and technical leaders responsible for bringing AI solutions to life, we will draw from best practices in designing and deploying AI solutions across mission-critical sectors such as healthcare, energy, and financial services, where trust is critical.

Participants will walk away with some practical tools to lead their organizations in developing and deploying AI solutions that are not only technically sound but also widely trusted.

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