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Empower your startup
with machine learning
With the use cases in this eBook, your startup can leverage the many advantages
of ML—boost productivity, make smarter use of data, meet customer demands more
effectively and efficiently, enhance customer experiences and satisfaction, make better
decisions faster, and reduce the frequency and impact of fraud.
We chose to highlight these seven use cases because startups like yours are achieving
success with them today—and because they fulfill all the requirements you should look
for when identifying a suitable application for ML. Your team can complete these use
cases in a matter of months, solve real business problems, increase performance, reduce
costs, and improve customer experiences. They lend themselves to the inclusion of
technical and domain experts, and—when properly executed—generate results that can
accelerate the innovation and business growth of your startup.
The business potential of ML goes far beyond these seven use cases. With the broadest
and deepest set of AI and ML services available today, AWS can help you apply ML in a
wide variety of ways to transform your startup—allowing you to push innovation to new
heights and reimagine the possibilities of what your startup can achieve.
Learn more about AWS ML for startups ›
