Toronto Machine Learning Society (TMLS)
Ajinkya Kulkarni is a seasoned professional in AI and cybersecurity, currently serving as Director at Independent Venture since October 2023, delivering essential services to public sector clients. With a strong background in analytics, Ajinkya has held significant roles including RVP of Global Services at Dataiku, where achievements encompassed establishing professional services across the Americas, and as Director of Advanced Analytics at PayPal, impacting the retention and growth of over 20,000 merchants. Previous expertise includes leadership positions at Scotiabank, RBC, and TELUS, driving AI strategies, developing analytics solutions, and building high-performing teams. Ajinkya also contributes as a Steering Committee Member for the Toronto Machine Learning Series and holds degrees in Communications and Biomedical Engineering as well as a Master of Management in Innovation from the University of Toronto.
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Toronto Machine Learning Society (TMLS)
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TMLS is a series of deep learning seminars, bi-monthly micro-summits and a 2 day conference. TMLS is an initiative to accelerate the growth of ML/AI in Canada. We have gathered the top insights, expertise from our community of over 5,000 professionals to create a bi-monthly Toronto Machine Learning Summit (TMLS).The goal is to showcaseCanada’s research accomplishments while offering innovative solutions to real business problems faced by ML and AI practitioners.What to expect at TMLS;Business Leaders, including C-level executives and non-tech leaders, will explore immediate opportunities, and define clear next steps for building their business advantage around their data.Practitioners will dissect technical approaches, case studies, tools, and techniques to explore challenges within Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more.Researchers will have the opportunity to share with their peer's cutting-edge advancements in the field.Machine Learning in Canada; Machine learning, deep learning, and AI are some of the fastest growing and most exciting areas for knowledge workers - simultaneously, they are the key to untapped revenue sources and strategic insights for businesses. Firms are using AI to create unprecedented business advantages that are reshaping the global - but more specifically Canadian - economic landscape. Practitioners are leveraging and expanding their expertise to become high-impact global leaders.Despite the vast opportunities that lie within our data, there are also explicit challenges to revealing their potential. Furthermore, transitioning to a career in practicing AL/ML, or managing ML and AI-driven businesses, are less than straightforward.