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How to Effectively Manage AI/ML Projects

Data Science Conference via YouTube

Overview

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Explore the complexities of AI project management in this 26-minute conference talk from DSC EUROPE 24 in Belgrade. Ana Stojkovic Knezevic dives into specialized frameworks needed to align AI initiatives with organizational goals, introducing Data Driven Scrum (DDS) - a methodology specifically tailored for AI/ML projects. Learn strategies for balancing technical and business requirements while enhancing efficiency through flexibility and iterative learning. Gain practical steps for implementing DDS, stay updated with current AI trends, and acquire tools to drive successful outcomes in AI project management. This presentation from November 22nd equips participants with actionable insights for effectively managing artificial intelligence and machine learning initiatives.

Syllabus

How to effectively manage AI/ML projects | Ana Stojkovic Knezevic | DSC EUROPE 24

Taught by

Data Science Conference

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