Generative Data Intelligence

Tag: Amazon API Gateway

Build a news recommender application with Amazon Personalize | Amazon Web Services

With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers,...

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Detect anomalies in manufacturing data using Amazon SageMaker Canvas | Amazon Web Services

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable...

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....

Integrate QnABot on AWS with ServiceNow | Amazon Web Services

Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent to triage an issue,...

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention | Amazon Web Services

This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large...

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination...

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock | Amazon Web Services

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large...

Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas | Amazon Web Services

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration...

Automating product description generation with Amazon Bedrock | Amazon Web Services

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. It can be the decisive factor that turns...

Moderate your Amazon IVS live stream using Amazon Rekognition | Amazon Web Services

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let...

Implement real-time personalized recommendations using Amazon Personalize | Amazon Web Services

At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to...

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models | Amazon Web Services

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits...

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions | Amazon Web Services

Purina US, a subsidiary of Nestlé, has a long history of enabling people to more easily adopt pets through Petfinder, a digital marketplace of...

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