Amazon Web Services’ (AWS) artificial intelligence (AI) portfolio is a collection of machine learning (ML) and AI solutions for the data science market.
Seattle-based AWS has about 50,000 employees, working on cloud-based solutions such as AI in various regions around the globe.
AWS reported $106.3 million in artificial intelligence revenue in 2019, according to an 2020 report by IDC.
See below to learn about the broad set of AWS’ ML and AI offerings:
Amazon SageMaker offers fast methods for training deep learning models and data sets, using data parallelism and model parallelism.
SageMaker Model Monitor is a fully managed service that continuously monitors machine learning models during their production phase.
SageMaker Autopilot eliminates a portion of the heavy lifting that goes into building ML models and automatically builds, trains, and tunes ML models based on available data.
SageMaker Ground Truth is Amazon’s fully managed data-labeling service. It allows users to train ML models using accurately labeled and semi-labeled objects and data points.
SageMaker Ground Truth supports various data types, including 2D images, 3D models and point clouds, videos, images, and text.
SageMaker JumpStart provides a set of solutions that kickstarts ML model development. It supports one-click deployment for the most popular open-source ML models.
There are numerous ways SageMaker JumpStart can be used, such as:
SageMaker Data Wrangler is a cloud solution that reduces the time it takes to aggregate and prepare data for training ML models from “weeks to minutes.”
SageMaker Feature Store is a fully managed repository to store, update, retrieve, and share ML model features.
It offers a unified storefront for features during real-time training and keeps services updated as new data gets generated.
SageMaker Clarify provides model and training data visibility to machine learning developers to identify and minimize bias.
SageMaker Debugger continuously monitors how system resources are utilized and collects data to optimize ML models in real-time during productivity loss. It monitors CPUs, GPUs, and network and memory usage.
SageMaker Studio is a centralized web-based visual interface that allows users to perform all primary ML development procedures. It offers complete access, control, and visibility in each step required to build and deploy ML models.
See more: Artificial Intelligence: Current and Future Trends
Amazon SageMaker Partners is AWS’ partnership program for ML experts, where they work on accelerating the process of solving complex AI business problems using ML solutions.
They offer two types of SageMaker partnerships: The Consulting Partners program offers consulting services for Amazon SageMaker. The ISV Partners program offers exclusively vetted and validated solutions that have demonstrated technical proficiency and customer success.
One of AWS’ AI clients is Zendesk.
With nearly 100,000 paying customers in over 150 countries and territories using Zendesk products, they needed a way to scale up operations without sacrificing quality.
“Amazon SageMaker will lower our costs and increase velocity for our use of machine learning,” says Davis Bernstein, director of strategic technology at Zendesk.
“With Amazon SageMaker, we can transition from our existing self-managed … deployment to a fully managed service.
AWS’ AI portfolio and SageMaker line score high ratings on a number of third-party review websites.
G2: 4.2 out of 5
TrustRadius: 8.1 out of 10
Gartner Peer Insights: 4.7 out of 5
Amazon SageMaker was named the Outright Leader in Enterprise MLOps Platforms in 2021 by Omdia, after launching in 2017.
“Across almost every measure, the company significantly outscored its rivals, delivering consistent value across the entire ML life cycle,” said Bradley Shimmin, chief analyst at Omdia.
AWS holds the fifth largest share of the AI software market (3.1% in 2019), according to a 2020 report by IDC.
In comparison, IBM holds the largest share of the AI software market in the report (8.8%), and SAS ranks third (4.4%).
The AI software market was worth an estimated $3.5 billion in 2019, IDC says.
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