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Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack | Amazon Web Services

Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP)...

Build an image search engine with Amazon Kendra and Amazon Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the...

Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon 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...

Import data from over 40 data sources for no-code machine learning with Amazon SageMaker Canvas

Data is at the heart of machine learning (ML). Including relevant data to comprehensively represent your business problem ensures that you effectively capture trends...

Accelerate time to insight with Amazon SageMaker Data Wrangler and the power of Apache Hive

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon...

Rising Public Cloud Adoption Is Accelerating Shadow Data Risks

Public cloud spending and adoption is growing fast. Analysts predict that organizations will spend $591.8 billion on cloud infrastructure and services in 2023, up...

SCIKIQ Accelerates SCIKIQ-Control, a Data Management Solution to Streamline Data Governance and Compliance

Monroe NJ, Mar 1, 2023 - (ACN Newswire) - SCIKIQ, a leading provider of data management solutions, accelerates SCIKIQ-Control, aimed at helping businesses streamline Data Governance and Compliance....

Market Data Firm QUODD Acquires Competitor Xignite

QUODD has agreed to acquire fellow market data company Xignite.Combined, the two companies will serve more than 2,200 firms, ranging from large banks...

Monitoring Lake Mead drought using the new Amazon SageMaker geospatial capabilities

Earth’s changing climate poses an increased risk of drought due to global warming. Since 1880, the global temperature has increased 1.01 °C. Since 1993,...

Use machine learning to detect anomalies and predict downtime with Amazon Timestream and Amazon Lookout for Equipment

The last decade of the Industry 4.0 revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more...

­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. As feature...

Prepare data from Amazon EMR for machine learning using Amazon SageMaker Data Wrangler

Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of...

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