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Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and…

ODSC - Open Data Science

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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All of the Free Virtual Sessions Coming to ODSC Europe 2023

ODSC - Open Data Science

If you are unable to join us at the Tobacco Dock this June, we’ll be hosting lots of engaging training sessions, workshops, and talks on our virtual platform. Check out our confirmed sessions below.

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Pictures and Highlights from ODSC Europe 2023

ODSC - Open Data Science

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. We’re a few weeks removed from ODSC Europe 2023 and we couldn’t have left on a better note. Keynotes Our main keynote sessions were held on the virtual side of the conference.

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Watch the Top ODSC Europe 2023 Virtual Sessions Here

ODSC - Open Data Science

AI and Bias: How to Detect It and How to Prevent It Sandra Wachter, PhD | Professor, Technology and Regulation | Oxford Internet Institute, University of Oxford In recognition of the extensive biases and inequality that are present in training data, there has been much work done to test for bias in machine learning and AI systems.

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Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. km/h with a distance to goal of 20.61

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Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS

AWS Machine Learning Blog

To ensure real-time updates of ball recovery times, we have implemented Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a central solution for data streaming and messaging. Additionally, the ball recovery times are sent to a specific topic in the MSK cluster, where they can be accessed by other Bundesliga Match Facts.

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.