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Trustworthy AI for MLOps

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

MLOps Courses Data Science Courses Machine Learning Courses Risk Management Courses Trustworthy AI Courses Ethical AI Courses AI Governance Courses

Course Description

Overview

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Explore the critical aspects of implementing trustworthy AI in MLOps through this comprehensive conference talk from MLOps World: Machine Learning in Production. Delve into the challenges businesses face when deploying AI projects and learn strategies to overcome operational hurdles, skill gaps, and tooling issues. Discover how to address trust and transparency concerns that are crucial for turning AI into a genuine business advantage. Join IBM experts Courtney Branson, Jonathan Messihan, and Daniel Fleck as they share insights on monitoring and tackling these issues, drawing from their extensive experience in data science, AI implementation, and client solutions across various industries. Gain valuable knowledge on best practices for monitoring risk and compliance in data and machine learning models, particularly in the financial sector.

Syllabus

Trustworthy AI for MLOps


Taught by

MLOps World: Machine Learning in Production

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