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Deploying Distributed AI and Machine Learning in Financial Services

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the potential of AI and Machine Learning in the Financial Services industry through this 30-minute conference talk by Dmitry Baev at the Toronto Machine Learning Series (TMLS). Discover how financial institutions can leverage their vast data reserves to transform their businesses using advanced ML and AI applications. Learn about the challenges of deploying and managing ML applications in large-scale distributed environments, particularly in light of industry regulations. Gain insights into real customer use cases for AI and ML in Financial Services and strategies for overcoming deployment challenges in distributed Big Data environments. Understand how to utilize existing Big Data investments to deliver cutting-edge data science using H2O, achieving transformational business results and faster time-to-value. Find out how Financial Services organizations are extracting tangible business value through the implementation of AI and ML technologies.

Syllabus

Dmitry Baev - Deploying Distributed AI and Machine Learning in Financial Services

Taught by

Toronto Machine Learning Series (TMLS)

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