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Machine Learning Engineer
Chief Evangelist Alexa and Echo
DevOps Tooling Specialist & SME
Head of AI – Computer Vision
NPD, eBay Inc.
Chief Data Officer
Software Development Engineer
Senior Research Engineer
Senior Principal Research Scientist
Mitsubishi Electric Research Labs
Chief Programme Owner
Distinguished Data Scientist
Traditional application development has been enhanced by the idea of DevOps, which forces operational considerations into development time, execution, and process.Read More
Having parsed millions of images, Flickr’s deep learning algorithm has learned to recognize 1,000 different objects in images. It does this by passing them through a series of layers, each of which transforms the original image and performs progressively more and more complex computations on it.Read More
More than 80 per cent of the TV shows people watch on Netflix are discovered through the platform’s recommendation system. That means the majority of what you decide to watch on Netflix is the result of decisions made by a mysterious, black box of an algorithm.Read More
The adoption of machine learning is being used more & more to improve DevOps practices. Examples include: troubleshooting and triage analytics; preventing production failures; ensuring application delivery; managing production and alert storms.
Discover best practices when implementing ML tools to DevOps, including the preparation & monitoring phases, to ultimately deliver more value to your business through better automation, more efficient problem solving, reduced operational complexity, and increased collaboration.
A unique opportunity to interact with industry leaders, developers, data scientists, DevOps specialists & IT decision makers leading the ML revolution. Learn from & connect with 200+ industry innovators sharing best practices to implement machine learning into DevOps.
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