How AI Can Help You Create Actionable Items for Your Call Recordings
Discover how to transform call recordings into actionable insights using AWS’s powerful AI and ML services.
Discover how to transform call recordings into actionable insights using AWS’s powerful AI and ML services.
Explore hierarchical time series forecasting for university course enrollments using machine learning and statistical methods.
Puneet Punj recounts his journey in achieving every AWS Certification, sharing insights into each with preparation tips and exam experiences.
In this blog, Rene Essomba provides an exploration of vector databases, a type of NoSQL database designed to handle large and complex data types effectively.
Saisha Hardikar covers real-world examples of how startups have harnessed the power of data analytics, machine learning (ML), and AWS as a Software-as-a-Service (SaaS) platform to maximise their potential.
This blog explores and compares Amazon Rekognition and Amazon SageMaker to discover the right fit for your business needs.
In this post, Roopa Venkatesh compares Snowflake and Databricks data analytics platforms to uncover the right fit for your business.
In this post, Roopa Venkatesh discusses how AWS SageMaker can be used to streamline financial crime analytics to streamline machine learning at scale.
Change data capture (CDC) on Amazon MSK and ingesting data using Apache Hudi on Amazon EMR can be used to build an efficient data lake solution. In this post, we’ll build a Hudi DeltaStramer app on Amazon EMR and use the resulting Hudi table with Athena and Quicksight to build a dashboard.
This post covers some of the take-aways from the Infrastructure Keynote with Peter DeSantis at re:Invent 2020.
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