Build a successful Data Science
and AI practice in 7 steps

AI Practice

Introduction

Assess your
level of maturity
in data
valuation

Identify projects
with high value
to your
organisation

Define the
feasibility of a
Machine Learning
project

Prioritize
Machine
Learning projects
framework

Scope a
project

Necessary
profiles to build
your team

Key to success in
implementing a
data science
practice

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