Create New Possibilities
in a Connected World
with Machine Learning on AWS
Get an Executive Summary of an IDC White Paper, titled Streamlining the Development of Deep Learning Applications in an AI-enabled World sponsored by AWS, January 2019. It provides an overview on machine learning (ML) and deep learning (DL), an emerging area of technology. According to the Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide, IDC projects spending on ML and DL in Asia will rise from US$3.6 billion in 2018 to US$15.5 billion in 2022 with a compound annual growth rate of over 49%. It also highlights how data scientists and developers, with the help of AWS Machine Learning and AI Services, can quickly and easily build, train and deploy models to deliver significant impact to the business.
Read the full White Paper* for a deep dive into how machine learning and deep learning are helping businesses to increase sales, reduce costs, streamline business processes and driving new innovations in an AI-enabled world.
AWS customers use machine learning to improve the quality of healthcare, fight human trafficking, provide better customer service, and protect you from fraud. With the broadest and deepest set of machine learning and AI services, they are creating new insights, enabling new efficiencies, and making more accurate predictions. That's why more than 10,000 customers have chosen to use AWS for machine learning.
Sunday Insurance uses machine learning algorithms to provide customers with a broader range of insurance policies, covering properties and possessions, and highly customized premiums that deliver greater value to customers.
BGL brings Deep Learning to Super Funds with AWS. The financial sector is adopting artificial intelligence personal assistants. More than 80% of queries against 300 million transactions were returned in less than 10 seconds.
Build & Deploy ML Models Quickly & Easily with Amazon SageMaker, featuring 21st Century Fox
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. This session dives deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
Deep Learning for Developers: Introduction, featuring Samsung SDS
Artificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. This session explains what deep learning is and how you can use it in your applications to unlock new and exciting capabilities for your customers and business. Also hear from Samsung SDS about how it developed a deep-learning model for cardiac arrhythmia detection using Apache MXNet, an open-source deep-learning framework. By the end of the session, understand how to leverage deep learning in your applications and get started with it.