The new updates, announced at the annual AWS extravaganza re:Invent, are designed to transform Amazon SageMaker into a more comprehensive, fully integrated platform for artificial intelligence ...

Pacific, one of the fastest-growing technology markets worldwide. Its recent partnership with South Korea’s AI startup ...

With SageMaker Training Compiler, AWS today launched a new feature that can accelerate the training of deep learning models by up to 50% through more efficient use of GPU instances.

AWS has reiterated its commitment to invest in SA, with a focus on technology skills development and AI solution adoption.

AWS hopes that its new offering, Amazon SageMaker Data Wrangler, is that better way. According to Jassy, the new offering uses machine learning to recognize the type of data that a user has, and ...

SageMaker Studio Notebooks is one of several AI development tools that AWS provides as part of SageMaker. With today’s updates, AWS is also enhancing several other components of the platform.

Additionally, AWS said that it was adding geospatial capabilities to SageMaker to allow enterprises to increase its use or role in training machine learning models.

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, “Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers.” ...

There was some integration between the environments previously, but SageMaker Studio users could only access EMR directly if they were in the same account. AWS has also introduced templates, which is ...