Systems | Development | Analytics | API | Testing

Build/Buy in MLOPs for R&D Does "off-the-shelf" exist yet?

What kind of tools and infrastructure does a company need in order to build, train, validate and maintain data-based models as part of products? The straight answer is - “it depends.” The longer one is: “MLOps.” It is far too early to determine the “best” patterns and workflows for Data-Science, Machine- and Deep-Learning products. Yet, there are numerous examples of successful deployments from businesses both big and small.

Comprehending ClearML and MLOps - Enabling the New A-Z (ODSC East '21)

ClearML is an industry leading MLOps suite, fully open source and free in the best sense. Designed to ease the start, running and management of experiments and orchestration for every day practitioners, we will also see how it provides a clear path to deployment. Starting with a high level overview of the parts built into ClearML, we will then journey into what is and also, importantly, what is not part of ClearML's mandate. Along the way we will demonstrate how-to integrate into your PyTorch code, as well as the capabilities of reporting and possible workflows that could be made easier by pipeline usage.

[MLOps] The Clear SHOW - S02E10 - Everything You Wanted To Know About Model Stores*

Ariel (ft. G. Raffa) discusses the reasoning behind model stores, why you might want to build one, and reviews a model store library vs. ClearML to understand what needs to be built "on top" of our open-source MLOps Engine. + Operator AI ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.

Community Creations: Bitrise Open Source & the API - Introducing the Bitrise Wall mobile app

Being able to extend the functionality that Bitrise provides, by writing your own Apps that exploit the openness of the API is an added value feature of Bitrise. And, good use of this possibility has already been made by existing Bitrise users. A case in point is Bitrise Wall, created by Jas Manigundan. This is an app for both iOS and Android that allows you to monitor the activity of your builds and even download the latest app version directly from your mobile phone.

A Complete Guide To Use Git For Beginners

Writing code might be complex but it is easier to control with the right support tool. How do you know a new build of your software has shipped successfully? How do you know a single feature added to your website is working as you want it to? To ease the pain of tracking down all the issues, version control systems are useful tools that help you keep monitoring the changes that you make to your code.

Automotive Industry Trends 2021: What Software Developers Need to Know

The automotive industry has been experiencing a great deal of change within the past several years. More software is being added to vehicles, along with a greater number of electric and autonomous vehicles are in production and on the road. By learning about the emerging trends, you will be more capable of keeping pace with them. Read along or jump ahead to the section that interests you the most.

Appian Community Edition is Here!

Appian is excited to announce the launch of Appian Community Edition! Appian Community Edition is our free version of the Appian Low-Code Automation Platform for Appian Community members who want to learn how to build business applications or improve their skills. Appian Community Edition provides hands-on experience for everyone, including developers, IT professionals, automation professionals, university students, prospective customers, current Appian customers, and Appian partners.

3 Reasons Extract, Load & Transform is a Bad Idea

Extract, Load, Transform (ELT) technology makes it easy for organizations to pull data from databases, applications, and other sources, and move it into a data lake. But companies pay for this convenience in many ways. ELT solutions can have a negative impact on data privacy, data quality, and data management.