Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists

Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times Many data scientists love the R project, an Read more about Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists[…]

Scaling Ad Verification with Machine Learning and AWS Inferentia

Amazon Advertising helps companies build their brand and connect with shoppers, through ads shown both within and beyond Amazon’s store, including websites, apps, and streaming TV content in more than 15 countries. Businesses or brands of all sizes including registered sellers, vendors, book vendors, Kindle Direct Publishing (KDP) authors, app developers, and agencies on Amazon Read more about Scaling Ad Verification with Machine Learning and AWS Inferentia[…]

Decoding the Social Effects Of Media with Machine Learning

What if media were optimized to benefit people? This thought-provoking question is at the core of Harmony Labs‘ mission. A nonprofit organization headquartered in New York City, Harmony Labs strives to better understand the impact of media on society, and build communities and tools to reform and transform media systems. As Brian Wanieswki, Executive Director Read more about Decoding the Social Effects Of Media with Machine Learning[…]

Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics

In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract valuable insights from customer conversations with a single API call. Each Read more about Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics[…]

Paging Doctor Cloud! Amazon HealthLake Is Now Generally Available

At AWS re:Invent 2020, we previewed Amazon HealthLake, a fully managed, HIPAA-eligible service that allows healthcare and life sciences customers to aggregate their health information from different silos and formats into a structured, centralized AWS data lake, and extract insights from that data with analytics and machine learning (ML). Today, I’m very happy to announce Read more about Paging Doctor Cloud! Amazon HealthLake Is Now Generally Available[…]

Amazon CodeGuru Reviewer Updates: New Java Detectors and CI/CD Integration with GitHub Actions

Amazon CodeGuru allows you to automate code reviews and improve code quality, and thanks to the new pricing model announced in April you can get started with a lower and fixed monthly rate based on the size of your repository (up to 90% less expensive). CodeGuru Reviewer helps you detect potential defects and bugs that Read more about Amazon CodeGuru Reviewer Updates: New Java Detectors and CI/CD Integration with GitHub Actions[…]

Amazon SageMaker Named as the Outright Leader in Enterprise MLOps Platforms

Over the last few years, Machine Learning (ML) has proven its worth in helping organizations increase efficiency and foster innovation. As ML matures, the focus naturally shifts from experimentation to production. ML processes need to be streamlined, standardized, and automated to build, train, deploy, and manage models in a consistent and reliable way. Perennial IT Read more about Amazon SageMaker Named as the Outright Leader in Enterprise MLOps Platforms[…]

Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data

With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured data across your data warehouse, operational databases, and data lake. Now that AQUA (Advanced Query Accelerator) is generally available, you can improve the performance of your queries by up to 10 times with no additional costs and no code Read more about Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data[…]

Decrease Your Machine Learning Costs with Instance Price Reductions and Savings Plans for Amazon SageMaker

Launched at AWS re:Invent 2017, Amazon SageMaker is a fully-managed service that has already helped tens of thousands of customers quickly build and deploy their machine learning (ML) workflows on AWS. To help them get the most ML bang for their buck, we’ve added a string of cost-optimization services and capabilities, such as Managed Spot Read more about Decrease Your Machine Learning Costs with Instance Price Reductions and Savings Plans for Amazon SageMaker[…]

Amazon CodeGuru Reviewer Updates: New Predictable Pricing Model Up To 90% Lower and Python Support Moves to GA

Amazon CodeGuru helps you automate code reviews and improve code quality with recommendations powered by machine learning and automated reasoning. You can use CodeGuru Reviewer to detect potential defects and bugs that are hard to find, and CodeGuru Profiler to fine-tune the performance of your applications based on live data. The service has been generally Read more about Amazon CodeGuru Reviewer Updates: New Predictable Pricing Model Up To 90% Lower and Python Support Moves to GA[…]