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Posts with tag "Machine Learning"

Feb20

Nauto: Achieving Consistency in an Eventually Consistent Environment

Today we feature a guest blog by Rohit Saboo, Machine Learning Engineering Lead at Nauto. Rohit has spoken at multiple Scylla Summits, and in 2018 his work at Nauto was awarded the Scylla User Award for More Interesting Technical Use Case. How we build trips consistently in a distributed system Early on, I noticed that one of our services would often have errors in retrieving data from the database. Upon investigation, we discovered that some of the queries were being run with full consistency, which in this case was the equivalent of enforcing that if any single node in a […]

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Nov1

Q&A with SmartDeployAI’s Timo Mechler and Charles Adetiloye on Simplifying the Creation of ML Workflow Pipelines

As we prepare for Scylla Summit 2019, we are producing a series of blogs highlighting this year’s featured presenters. And a reminder, if you’re not yet registered for Scylla Summit, please take the time to register now! Today we are speaking with Timo Mechler, Product Manager, and Charles Adetiloye, Machine Learning Platform Engineer, both of SmartDeployAI, who will be co-presenting the session Simplifying the Creation of ML Workflow Pipelines for IoT Application on Kubernetes with Scylla. Machine Learning, workflow pipelines, IoT, Kubernetes… That’s quite a buzzword compliant title! You sure you can fit all that into a single Scylla Summit […]

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Oct24

Q&A with Augury’s Daniel Barsky on Real-Time Insights for the Industrial IoT

Today we are speaking with Daniel Barsky, Senior Data Scientist at Augury. His presentation at Scylla Summit 2019 is entitled Augury: Real-Time Insights for the Industrial IoT.

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