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[…]

AWS DeepRacer League’s 2021 Season Launches With New Open and Pro Divisions

As a developer, I have been hearing a lot of stories lately about how companies have solved their business problems using machine learning (ML), so one of my goals for 2021 is to learn more about it. For the last few years I have been using artificial intelligence (AI) services such as, Amazon Rekognition, Amazon Read more about AWS DeepRacer League’s 2021 Season Launches With New Open and Pro Divisions[…]

Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs

Today, the Amazon Lex team has released a new console experience that makes it easier to build, deploy, and manage conversational experiences. Along with the new console, we have also introduced new V2 APIs, including continuous streaming capability. These improvements allow you to reach new audiences, have more natural conversations, and develop and iterate faster. Read more about Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs[…]

New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling

Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides Read more about New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling[…]

Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions

Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a Read more about Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions[…]

New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects

Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in Read more about New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects[…]

re:Invent 2020 Liveblog: Machine Learning Keynote

Follow along as AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts liveblog the first-ever Machine Learning Keynote. Swami Sivasubramanian, VP of Amazon Machine Learning will share the latest developments and launches in Amazon ML/AI, as well as demos of new technology, and insights from customers. Join us here from 7:45-10 Read more about re:Invent 2020 Liveblog: Machine Learning Keynote[…]