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What makes an Outstanding Contribution to AI Award Winner?
The Outstanding Contribution to AI Award will recognize a USA based individual who has made a sustained and significant contribution to the AI industry over a period of 10 years or more by the entry eligibility deadline of October 30, 2024.
Click below to view this year's winner!
The AIconics are a benchmark for industry excellence, recognizing the achievements of individuals instrumental in breakthrough innovation and cutting-edge application of artificial intelligence in business.
Participation in these awards positions you and your organization as a thought leader in the AI domain, and serves to acknowledge and celebrate the outstanding contributions of and you and your peers.
Sundar, with 12+ years of experience in AI/ML/Data Science, created the popular "XuniVerse" Python package for variable selection in machine learning, downloaded over 750,000 times. He authored "Applied Data Science using PySpark" and is recognized as a Top 1% mentor on Topmate.io. Sundar's blogs on AI and data science have amassed 650K views, contributing significantly to knowledge-sharing in the field.
2024 OUTSTANDING CONTRIBUTION TO AI AWARD SHORTLIST
Anjanita has over two decades of experience in AI, focusing on Responsible AI and Generative AI. She prioritizes explainability and transparency in AI/ML outputs, advocating for responsible AI use with proper governance. Anjanita sees AI as an augmentation tool rather than a replacement. She emphasizes fostering the right mindset in younger generations to advance AI and Gen AI, and uses AI to enhance efficiency while encouraging human creativity for innovative solutions.
Brennan, a pioneering figure in AI and cybersecurity for over a decade, leads the development of CADDIE, a Retrieval-Augmented Generation platform for cybersecurity and GRC. He co-authored the influential 2019 Wharton AI Risk and Governance White Paper and has implemented cutting-edge AI technologies for cyber defense and risk management at major financial institutions. Brennan's work focuses on balancing AI power with necessary risk mitigation strategies.
Dhagash has pioneered several areas in AI for finance, including similarity learning for trading and risk management, investor behavior modeling, and hybrid RAG for LLMs. With over 100 published articles and 2600+ citations, he serves on editorial boards of multiple journals and is recognized as one of the top 10 AI minds on Wall Street. Dhagash's work spans theory and applications of AI in quantitative finance and wealth management.
Eugenio, recognized as a Forbes 30 Under 30 and Fortune 40 Under 40, has informed policy recommendations for the White House and UN. He teaches at Columbia University and is a bestselling author on AI. Eugenio has led projects in kidney disease detection and COVID-19 prediction using AI. He serves on advisory boards for Meta's Open Loop Program and the UN's AI for Health Focus Group.
Neil, an IBM Master Inventor and UN AI Advisor, co-founded the UN's AI for Good initiative, promoting AI applications for sustainable development. He champions AI ethics and governance, developing frameworks for transparency and fairness. Neil's work spans multiple industries, and he actively mentors entrepreneurs. He's recognized for his role in shaping AI applications and fostering responsible AI development across various sectors.
Sundar, with 12+ years of experience in AI/ML/Data Science, created the popular "XuniVerse" Python package for variable selection in machine learning, downloaded over 750,000 times. He authored "Applied Data Science using PySpark" and is recognized as a Top 1% mentor on Topmate.io. Sundar's blogs on AI and data science have amassed 650K views, contributing significantly to knowledge-sharing in the field.
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