Solve your most common
business challenges with
machine learning
Machine learning has moved beyond the hype to become
a meaningful driver of value for many organizations.
Over two thirds of the businesses that have fully
embraced artificial intelligence (AI) say the technology
has created a better customer experience, improved
decision-making, increased their productivity and
allowed them to innovate while achieving cost savings.
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While it's clear that machine learning is an essential part
of business transformation, many organizations struggle
to understand where to apply machine learning for the
most impact. Selecting the right machine learning use
case requires you to consider a number of factors.
First, you need to find a balance between optimal
business value and speed. A proof of concept built by
a siloed data scientist is not likely to generate much
enthusiasm for machine learning in an organization.
What is more apt to attract the needed commitment and
funding is showing how machine learning can address
the practical issues your organization currently faces.
Furthermore, you'll want to find something that can
be accomplished in 6–10 months so that you don't lose
momentum. This is especially true if this is your first
foray into machine learning.
Second, you'll want to find a use case that is rich in data
that you already have. A good business use case with no
data leads to frustrated data scientists.
Lastly, you'll want to evaluate whether your business
problem actually requires machine learning for success
and whether machine learning will result in better
outcomes than your traditional approach. These
outcomes might be realized as cost reduction, increased
employee productivity, or improved experiences for your
end customers.
The best way to satisfy all of these criteria is to ensure
that technical experts and domain experts are working
hand in hand on your machine learning project.
Technical experts can conduct feasibility assessments,
and domain experts will ensure the solution is solving a
real business problem and will have a real impact.
1 https://www.pwc.com/us/en/tech-effect/ai-
analytics/ai-predictions.html
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