We chose AWS because of their relentless focus on innovation, their broad array of machine learning services, and proven experience in supporting large sports organizations and enterprises around ...

We are pleased to find a like-minded company in AWS who, with Amazon HealthLake, is now taking the next step in using machine learning to help make sense of health data in a secure, complaint, and ...

The Lake Formation service also applies machine learning to de-duplicate the data, and lets users build their own ML Transforms using Glue to customize the transformation. The service also applies ...

AWS filled a lot of governance capabilities inside of our data lake capability, inside of Lake Formation. We’ve got services like Control Tower, which help you set up parameters. Part of ...

Amazon Web Services is using its cloud and machine learning capabilities to expand its reach into healthcare and help providers and ... (AWS) data lake and automatically normalizes this ...

On the second day of Amazon Web Services (AWS) re:Invent, Swami Sivasubramanian, vice president of AWS Data and Machine Learning (ML) revealed the latest innovations during his keynote. To start ...

The way AWS helps is of course putting all this data to work with its machine learning toolset. AWS’s VP of artificial intelligence, Matt Wood, says that having all this data is a huge advantage ...

This week at its re:Invent conference, AWS launched new services and features across its storage, compute, analytics, machine learning, database, and security services, and made a foray into ...

• AWS Lake Formation: ... The Future Of Data Analytics And Machine Learning With The Data Lakehouse. Integrating the data lakehouse setup marks a big step forward in how we handle and analyze data.

AWS offers over 165 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile ...