Machine learning, a foundational mechanism
enabling artificial intelligence (AI), is one of the most
empowering fields within IT today. However, a lack
of trained and certified machine learning talent has
become a barrier to the widespread adoption of the
technology. In this eBook, we'll review the promise of
machine learning and how innovations in training and
certification give developers and data scientists an
advantage by equipping them with the skills to help
their organizations achieve success.
While machine learning—and AI for that matter—is hardly new,
advancements in compute and the virtually unlimited data capacity of the
cloud are accelerating its potential to drive successful business outcomes
through increasingly accurate and self-optimizing predictive models. Today's
businesses are using cloud-based machine learning to solve business and
technology issues across a range of important areas, including internet
search, spam filtering, and user recommendations.
Extracting meaningful insights from data
with machine learning technology
"There's nothing new to AI per se. It was deployed in the
1950s. But now with cloud computing and the elasticity
it provides, we can suddenly take massive amounts of
data, throw it at the neural network, and actually get
insights out of what is statistically difficult to engineer."
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Olivier Klein,
Head Emerging Technologies for AWS, APAC
