Category: Artificial Intelligence

Launched at AWS re:Invent 2017, HAQM Transcribe is an automatic speech recognition (ASR) service that makes it easy for AWS customers to add speech-to-text capabilities to their applications. At the time of writing, Transcribe supports 31 languages, 6 of which can be transcribed in real-time. A popular use case for Transcribe is the automatic transcription of […]

Editor’s Note: We have been closely monitoring the situation with COVID-19, and after much consideration, we have made the decision to cancel re:MARS 2020. Our top priority is the well-being of our employees, customers, partners, and event attendees. Over the course of the coming weeks, we will explore other ways to engage the community. To […]

While re:Invent 2019 may feel well over, I’m still feeling elated and curious about several of the launches that were announced that week. Is it just me, or did some of the new feature announcements seem to bring us closer to the Scifi worlds (i.e. AWS WaveLength anyone? and don’t get me started on HAQM […]

2/10/2025 update: ICD-10-CM link updated, as CDC’s website is being modified to comply with Donald Trump’s Executive Orders. HAQM Comprehend is a natural language processing (NLP) service that uses machine learning to find insights in unstructured text. It is very easy to use, with no machine learning experience required. You can customize Comprehend for your specific […]

Today, we’re extremely happy to launch HAQM SageMaker Studio, the first fully integrated development environment (IDE) for machine learning (ML). We have come a long way since we launched HAQM SageMaker in 2017, and it is shown in the growing number of customers using the service. However, the ML development workflow is still very iterative, […]

Today, we’re extremely happy to announce HAQM SageMaker Debugger, a new capability of HAQM SageMaker that automatically identifies complex issues developing in machine learning (ML) training jobs. Building and training ML models is a mix of science and craft (some would even say witchcraft). From collecting and preparing data sets to experimenting with different algorithms […]

Today, we’re extremely happy to announce HAQM SageMaker Model Monitor, a new capability of HAQM SageMaker that automatically monitors machine learning (ML) models in production, and alerts you when data quality issues appear. The first thing I learned when I started working with data is that there is no such thing as paying too much […]

Today, we’re extremely happy to launch HAQM SageMaker Processing, a new capability of HAQM SageMaker that lets you easily run your preprocessing, postprocessing and model evaluation workloads on fully managed infrastructure. Training an accurate machine learning (ML) model requires many different steps, but none is potentially more important than preprocessing your data set, e.g.: Converting […]