AWS Machine Learning Blog
Category: HAQM Kinesis
Implement serverless semantic search of image and live video with HAQM Titan Multimodal Embeddings
In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that may occur in these locations. From fire hazards to broken equipment, […]
Implement real-time personalized recommendations using HAQM Personalize
February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. 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 elevate their customer experience. This approach allows businesses […]
Use streaming ingestion with HAQM SageMaker Feature Store and HAQM MSK to make ML-backed decisions in near-real time
August 30, 2023: HAQM Kinesis Data Analytics has been renamed to HAQM Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products […]
Generate actionable insights for predictive maintenance management with HAQM Monitron and HAQM Kinesis
Reliability managers and technicians in industrial environments such as manufacturing production lines, warehouses, and industrial plants are keen to improve equipment health and uptime to maximize product output and quality. Machine and process failures are often addressed by reactive activity after incidents happen or by costly preventive maintenance, where you run the risk of over-maintaining […]
Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games
Face-off Probability is the National Hockey League’s (NHL) first advanced statistic using machine learning (ML) and artificial intelligence. It uses real-time Player and Puck Tracking (PPT) data to show viewers which player is likely to win a face-off before the puck is dropped, and provides broadcasters and viewers the opportunity to dive deeper into the […]
Redact sensitive data from streaming data in near-real time using HAQM Comprehend and HAQM Kinesis Data Firehose
August 30, 2023: HAQM Kinesis Data Analytics has been renamed to HAQM Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. Near-real-time delivery of data […]
Build a predictive maintenance solution with HAQM Kinesis, AWS Glue, and HAQM SageMaker
Organizations are increasingly building and using machine learning (ML)-powered solutions for a variety of use cases and problems, including predictive maintenance of machine parts, product recommendations based on customer preferences, credit profiling, content moderation, fraud detection, and more. In many of these scenarios, the effectiveness and benefits derived from these ML-powered solutions can be further […]
Translate, redact and analyze streaming data using SQL functions with HAQM Kinesis Data Analytics, HAQM Translate, and HAQM Comprehend
August 30, 2023: HAQM Kinesis Data Analytics has been renamed to HAQM Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. You may have applications that generate streaming data that is full of records containing customer case notes, product reviews, and social media messages, in many languages. Your […]
The Intel®3D Athlete Tracking (3DAT) scalable architecture deploys pose estimation models using HAQM Kinesis Data Streams and HAQM EKS
This blog post is co-written by Jonathan Lee, Nelson Leung, Paul Min, and Troy Squillaci from Intel. In Part 1 of this post, we discussed how Intel®3DAT collaborated with AWS Machine Learning Professional Services (MLPS) to build a scalable AI SaaS application. 3DAT uses computer vision and AI to recognize, track, and analyze over 1,000 […]
Automate a shared bikes and scooters classification model with HAQM SageMaker Autopilot
February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. HAQM SageMaker Autopilot makes it possible for organizations to quickly build and deploy an end-to-end machine learning (ML) model and inference pipeline with just a few lines of code or even without […]