Market pressures, like the transition to remote work and the need for
greater online collaboration, are disrupting workflows and challenging
today's startups to do more with less—and continue to grow in the face of
uncertainty. Emerging technologies help startups maintain control, bringing
their people together to respond to modern challenges with innovation and
data-driven intelligence.
With its ability to intelligently predict outcomes and produce more accurate
results over time, machine learning is helping startups realize the exact
advantage they need. Startups across nearly every industry are leveraging
machine learning to reduce costs, boost productivity, create better
products, and get to market faster than their competitors.
AWS provides machine learning services for every use case—so startups of
any size can launch immediately. AWS is among the top rated on Stanford's
Solve business challenges with
machine learning
2020 deep learning benchmark, DAWNBench, for the fastest training time,
lowest cost, lowest inference latency, and deepest set of security features.
1
Startups also choose AWS for its proven experience and reliability. More
machine learning happens on AWS than anywhere else, and AWS is the
home of 89% of deep learning projects in the cloud. And AWS allows
startups to experiment with and customize machine learning algorithms
using popular frameworks—91% of PyTorch and 92% of TensorFlow
projects in the cloud happen on AWS.
2
Machine learning can give your organization the advantage it needs to
capitalize on big opportunities and thrive in today's challenging startup
environment. With AWS machine learning, you can spend less time on
manual, repetitive tasks and guesswork—and more time creating irresistible
customer experiences that set your organization apart.
1
https://dawn.cs.stanford.edu/benchmark/
2
https://aws.amazon.com/startups/machine-learning/
2
INTRODUCTION
