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Cloud Data Science News – Beta #4

Data Science 101

Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. It is based upon this article: Preparing and curating your data for machine learning. We will have to wait and see. Announcements.

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Modular functions design for Advanced Driver Assistance Systems (ADAS) on AWS

AWS Machine Learning Blog

Identification of relevant representation data from a huge volume of data – This is essential to reduce biases in the datasets so that common scenarios (driving at normal speed with obstruction) don’t create class imbalance. To yield better accuracy, DNNs require large volumes of diverse, good quality data.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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Discover the universe of Gamma AI for better protection

Dataconomy

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft.

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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Here are the First Speakers for the AiX Business Summit This Fall

ODSC - Open Data Science

Most recently, Gaurav served as VP of Product at Neural Magic — innovators in software acceleration for deep learning utilizing sparse model architectures. Alex Watson | Co-Founder | Gretel AI Alex has been a trailblazer in the technology sector, focusing on data security and innovation.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. SageMaker Studio is the first fully integrated development environment (IDE) for ML. If you’re familiar with SageMaker and writing Spark code, option B could be your choice.

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