Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale AI, data, analytics, and cloud platforms for prominent companies such as TIAA, McKinsey & Company, American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption. As an adjunct professor at various universities and a member of Arizona State University's Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field. John holds two master’s degrees in engineering and statistics, a Doctor of Business Administration with focus on Machine Learning and has over 40+ patents filed. He has received several awards throughout his career for his contributions to the technology industry.
Human-in-the loop and traditional AI standards can only take us so far. In order to ensure large-scale, sustainable production and implementation of Generative AI, we need to be able to rely on our models
to ensure company data is safe & hallucinations are completely avoided. Join this session to understand how business leaders can explore:
• Implementing policies and guardrails for safe scalability from a human-in-the-loop perspective.
• Exploring augmented AI solutions to enhance data protection and ethical decision-making.
• Fostering & preparing for sustained, safe, large scale generative AI through responsible AI practices.
Check out the incredible speaker line-up to see who will be joining John.
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