AWS - Machine Learning

  • Machine Learning
  • 1 Product
  • 3 Case Studies
Putting machine learning in the hands of every developer

Sep 25

Football tracking in the NFL with Amazon SageMaker

With the 2020 football season kicking off, Amazon Web Services (AWS) is continuing its work with the National Football League (NFL) on several ongoing game-changing initiatives. Specifically, the NFL and AWS are teaming up to develop state-of-the-art cloud technology using machine learning (ML) aimed at aiding the officiating process through real-time football detection. As a […]

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Oct 21

Using Amazon SageMaker inference pipelines with multi-model endpoints

Businesses are increasingly deploying multiple machine learning (ML) models to serve precise and accurate predictions to their consumers. Consider a media company that wants to provide recommendations to its subscribers. The company may want to employ different custom models for recommending different categories of products—such as movies, books, music, and articles. If the company wants […]

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Oct 21

Time series forecasting using unstructured data with Amazon Forecast and the Amazon SageMaker Neural Topic Model

As the volume of unstructured data such as text and voice continues to grow, businesses are increasingly looking for ways to incorporate this data into their time series predictive modeling workflows. One example use case is transcribing calls from call centers to forecast call handle times and improve call volume forecasting. In the retail or […]

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Oct 21

Performing batch fraud predictions using Amazon Fraud Detector, Amazon S3, and AWS Lambda

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, Amazon Fraud Detector is designed specifically to detect fraud. Amazon Fraud Detector combines your data, the latest in ML science, […]

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Products and Case Studies
AWS - Machine Learning - Amazon SageMaker

Machine learning for every developer and data scientist.

Case Study : Zocdoc Builds Patient Confidence Using Tensorflow

Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.

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Case Study : Formula 1 - Aws Fuels Analytics Through Machine Learning

Formula 1 Accelerates Cloud Transformation by Moving to AWS

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Case Study : Zendesk Enables Faster Customer Service Using Deep Learning

Speeding Development through Faster Deep-Learning Modeling

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Roybi - Oct 21 - Blog Post:
App Update for Enhancing Connectivity and Parent Engagement

At ROYBI, we believe that engaging children in self-guided learning at an early age can encourage them to become lifelong...

Kyndi - Oct 21 - Blog Post:
Does Your Company Have a Reading Problem?

By Avery Hua, Kyndi Product Manager With new stories every day about how Artificial Intelligence is transforming the way businesses...

Unbabel - Oct 21 - Blog Post:
6 Ideas to Optimize Customer Service Operations and Scale Teams

Optimize the three rings of customer service operations with these tips on quality, scale, and language

Databricks - Oct 21 - Blog Post:
Faster SQL: Adaptive Query Execution in Databricks

Earlier this year, Databricks wrote a blog on the whole new Adaptive Query Execution framework in Spark 3.0 and Databricks......

Abe Ai - Oct 21 - Blog Post:
Questions From Our Last Meeting – “Do We Need Live Chat or Other Technology B...

In this installment of “Questions From Our Last Meeting,” we cover a common question that we receive from financial institutions...

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