Remove APIs Remove Big data Remove Blog Remove Engineering
article thumbnail

Deploy a Slack gateway for Amazon Bedrock

AWS Machine Learning

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. We will cover this in a later blog post. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 105
article thumbnail

How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

Our initial ML model uses 21 batch features computed daily using data captured in the past 2 months. This data includes both playback and app engagement history per user, and grows with the number of users and frequency of app usage. The processing infrastructure is needed only for the duration of the computations. Real-time inference.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What’s All This Fuss About Composability?

ConvergeOne

The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. I mentioned open APIs and microservices. This is where we can currently apply some of the remaining components such as AI, machine learning, automation, big data, and analytics.

APIs 79
article thumbnail

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

article thumbnail

Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning

In this blog post, we will share some of capabilities to help you get quick and easy visibility into Amazon Bedrock workloads in context of your broader application. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics 119
article thumbnail

How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. gpt2 and predictor.py

APIs 96
article thumbnail

Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0