The plan is to ensure that the service goes to thousands of applications.
With Outposts, customers can now put AWS into their own datacenters using the AWS hardware.
Amazon Comprehend Medical uses natural language processing to simplify the process of using machine learning to extract pertinent information from unstructured medical text, such as medical notes, prescriptions, interview transcripts, and pathology and radiology reports.
"This is big as it moves AWS away from just a cloud service into the server hardware and services space", Rob Enderle, principal analyst with The Enderle Group, told eWEEK in an email.
Variant 2: Through AWS native variant available in AWS Outposts, customers can use same APIs and control plane which they used to run in the AWS Cloud, but now on-premises.
"Many healthcare customers are exploring new ways use the power of ML to advance their current workloads and transform how they provide care to patients, all while meeting the requirements of HIPAA", AWS concluded.
While tech giants are busy developing Machine Learning (ML) and Artificial Intelligence (AI) models to deliver enhanced customer experiences, retail giant Amazon's Cloud arm Amazon Web Services (AWS) is busy dealing with a large task - democratising ML for all and protecting it from "bad actors".
With the machine learning service, the cancer center was able to drastically reduce the time required to index patients who may be eligible for clinical trials based on their conditions and medical histories.
The new SageMaker updates include SageMaker RL, which was created to make it easier for developers to build, train and deploy machine learning tools, including low cost, automatic data labeling and reinforcement learning (RL).
A year ago, AWS launched image recognition camera DeepLens, which allowed developers to build several applications based on image recognition, and led the company to try and solve the issues related to autonomous driving.
AWS Outposts initially will come in two flavors. Unfortunately, labeling data is a job that's often time-consuming, because it generally has to be done by hand. Along with this broad range of services and devices, customers are working alongside Amazon's expert data scientists in the AWS ML Lab to implement real-life use cases.
One of the products that the company will offer is called Amazon Quantum Ledger Database or QLDB. Those who know how much capacity they will need well in advance can book ahead and pay less for downlink time.
"Trend Micro is quick to leverage new features in AWS Marketplace to simplify and accelerate secure customer application migrations".
On the somewhat lighter side, AWS also announced the AWS DeepRacer, which is now under pre-order.
The inaugural DRL event took place at this year's AWS re:Invent conference in accelerated form over a duration of 22 hours.
AWS Lake Formation also provides a centralised, customisable catalogue which describes available data sets and their appropriate business use.