Systems | Development | Analytics | API | Testing

Pulno - The Ideal Website Evaluator

If you’ve been working with SEO for some time, you’d know that although it’s a reliable way of improving your website’s searchability, it’s often marred by the downside of being very time-consuming. Moreover, manual SEO strategies could easily fail to achieve the desired results because of the ever-increasing level of competition. In such a scenario, an automated tool that helps you enhance your SEO efforts can prove to be a boon.

Get a Complete View of Salesforce Data with MongoDB

Teri will show you how you can incorporate Salesforce (relational data) into a MongoDB collection (non-relational data) to give your customers a unified customer experience. The webinar will focus on the piece of the puzzle where we read Salesforce data and format it into the shape needed to go into a Mongo collection (a collection is the term MongoDB uses for a data set like a table in a relational database). We’re showcasing the ability to go back and forth from NoSQL to SQL for a unified customer experience.

A Beginner's Guide To Test Automation With Javascript(Nightwatch.js). Part 3.

Welcome to the “A beginners guide to test automation with Javascript(Nightwatch.js)” blog series part 3! If you have missed out on the previous parts, make sure to read part 1: Introduction to Nightwatch.js and part 2: The most useful Nightwatch.js commands in our blog. In this article we will look at callback functions and command queue in Nightwatch.js, and as always – feel free to skip to any part you are the most interested in.

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.