IBM open-sources Kubeflow Pipelines on Tekton for portable machine learning models

Source:-https://siliconangle.com IBM Corp. said today it’s hoping to provide a standardized solution for developers to create and deploy machine learning models in production and make them portable to any cloud platform. To do so, it said it’s open-sourcing the Kubeflow machine learning platform on Tekton, a continuous integration/continuous development platform developed by Google LLC. It’s popular with developers who use Kubernetes to manage containerized applications, which can run unchanged across many computing environments. IBM said it created Kubeflow Pipelines on

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How GitHub Got MLOps Right

Source:-https://analyticsindiamag.com After productive and informative Day 1, ADasSci’s Deep Learning Developers Conference is live again. Day 2 of DLDC2020 too, had an interesting lineup of speakers along with a full-day workshop on deep learning with Keras. In an hour-long talk, speakers Pulkit Agarwal and Vinod Joshi of Github discussed the various challenges of setting up an ML pipeline. Pulkit, who is part of the product team at Github, began by defining what MLOps is really about and what makes it

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UNDERSTANDING MICROSOFT AZURE’S RESPONSIBLE MACHINE LEARNING MODEL

Source:-analyticsinsight The Microsoft Azure Machine learning with the help of AI opens up the opportunity for interpretability, accountability and fairness. With the advent of COVID 19 outbreak, the aviation sector had to stop its operations, thus having a halt in flight travels. Many airlines felt the burden of this unprecedented situation, however Scandanavian airline (SAS), felt another threat looming over their head. The SAS has a loyalty program EuroBonus, which provides points to the airline’s customers every time they travel.

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HPE Extends Data Fabric Across Multiple Kubernetes Clusters

Source:-containerjournal.com Hewlett Packard Enterprise (HPE) has extended the capabilities of a rechristened container platform to now include support for a data fabric spanning multiple Kubernetes clusters that can be physically located in data centers in different geographies. Now known as the HPE Ezmeral, the data fabric is based on technology it gained from HPE’s acquisition of MapR Technologies last year. The data fabric creates a global namespace that is accessible via application programming interfaces (APIs). Containerized and non-containerized applications can

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BRINGING AI AND MACHINE LEARNING ACCESSIBLE TO ENTERPRISES CREDIT TO CLOUD

Source:-analyticsinsight.net Machine learning has a tremendous offering to the enterprise-but how? Machine learning, a sub-component of artificial intelligence, is not new to the enterprise. But with techniques like deep learning, emulating human brain actions, increasingly gaining traction, businesses are identifying new and potentially transformative deployments of digitally disruptive technologies. According to Algorithmia’s 2020 report, the main use cases for machine learning translate to customer service (i.e. chatbots) and internal cost reduction. But machine learning has applications far and wide. Dynamic

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Continuous Delivery Foundation adds Screwdriver to incubation toolkit

Source:-devclass.com The Continuous Delivery Foundation has recruited its first incubation project since its birth just a year ago, in the shape of container focused build service Screwdriver. Screwdriver was originally spawned at Yahoo as “simplified interfacing” for Jenkins, before it was open sourced in 2016 and “completely rebuilt to handle deployments at scale along with CI/CD goals.” According to the CDF, the project “ties directly into DevOps teams’ daily habits. It tests pull requests, builds merged commits, and deploys to

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From DevOps to MLOps: The evolution of DevOps

Source:-itproportal.com Luca Ravazzolo explains how the evolution of DevOps is likely to continue, with potential far beyond its current form. The introduction of DevOps has had a profound effect on developers and the IT industry, completely changing mindsets with concepts like continuous integration and continuous delivery now much more commonplace. Over the last few years, DevOps has matured, becoming more mainstream and widely adopted, and this has led to a gradual evolution of the approach. During this time, DevOps has

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