AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and...
Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of...
Amazon DynamoDB is ideal for applications that need a flexible NoSQL database with low read and write latencies and the ability to scale storage and...
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step...
Enterprises often need to communicate effectively to a large base of customers, partners, and stakeholders across several different languages. They need to translate and...
ENGIE—one of the largest utility providers in France and a global player in the zero-carbon energy transition—produces, transports, and deals in electricity, gas, and...
Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine...
Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes. Data underpins ML and AI use cases and is a strategic asset to an organization. As data is growing at an exponential rate, organizations are looking to set up an integrated, […]
Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage the instance type, instance size, lifecycle management, pausing, resuming,...
