The benefits of AI are pervasively accepted, and yet a paradox exists between AI's potential and its success: Research shows that up to 90% of AI/ML initiatives fail adoption; 70% of AI/ML models don't evolve; less than 20% of enterprise functions use AI, and 50% of CDOs fail within the first year. These staggering statistics illuminate organizations' tendency to prioritize artificial intelligence's technological challenges over context, relevancy, and experience. Mindful AI framework is designed to address these challenges and has been successfully implemented to help enterprises accelerate their AI journey with measurable outcomes.

Bio: Ahmer Inam is the Chief Data and Artificial Intelligence Officer at Relanto, a global business process transformation and enterprise resiliency firm. Ahmer has more than 20 years of experience driving organizational transformation with intelligent digital solutions. His experience includes leadership roles at firms like Nike, PwC, and Wells Fargo. Ahmer is a member of the healthcare brain trust at XPRIZE where he is responsible for designing incentives based moonshot innovation competitions. Additionally, Ahmer serves as a Data & AI expert with International Institute for Analytics, and he is on the joint World Economic Forum and Responsible AI Institute task force that is designing the world’s first responsible AI certification program. Ahmer is also on the Forbes Technology Council and an advisor to a number of healthcare startups. Ahmer holds two masters degrees, one each in Industrial Engineering and Economics and a bachelor degree in Mechanical Engineering.