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5 Proven Tips to
Improve Your AI
Maturity
AVOID AI PROJECT FAILURE:


According to Accenture,
AI maturity comes down to mastering a set of key capabilities in the right
combinations — not only in data and AI, but also in organizational strategy,
talent,
and culture.”!
Dataiku’s AI maturity model — a five-step journey for organizations
interested in improving their AI maturity — is meant to equip analytics and
AI leaders with a guiding framework for their AI strategy. Note that not all
organizations will move at the same speed from one stage of maturity to
the next. If you’re not sure where you are currently, take our AI Maturity
Survey to find out.
This flipbook will help any organization interested in extracting more value
out of its investments, navigating key challenges on the way, and reducing
costs associated with analytics and AI projects.
1
https://www.accenture.com/cn-en/insights/artificial-intelligence/ai-maturity-and-transformation


BUSINESS
VALUE
TIME
Explore what AI is and means for the organization,
evangelize the need to leverage AI, and find early adopters.
Experiment with the value of AI with first projects and
build awareness.
Establish tangible value from a few initial use cases and lay
the foundations to scale.
Expand usage of AI across the organization and accelerate
business value, building on foundations previously laid
out to spread to all departments and functions.
Embed AI in every single activity (i.e., all processes and
operations) throughout their business.
AI will be created (or, at the very least, leveraged one way
or another) by everyone within the organization and,
ultimately, will impact every process.
Dataiku’s AI Maturity Model










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5 Proven Tips to Improve Your AI Maturity
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