What if I want to serve a Huggingface model on ClearML? Where do I start? In general, machine learning engineers know by now that a good model serving engine is invaluable when serving models in production. These days, NVIDIA’s Triton inference engine is a popular option to do so, but it is lacking in some respects.

Is your small business struggling with inflation? Not sure whether to cut costs or optimize spend? We’ve analyzed 55 small businesses in an attempt to help you solve this dillemma.

In its 2022 Magic Quadrant™ for Data Integration Tools report, Gartner® observes that “organizations are increasingly seeking a comprehensive range of improved data integration capabilities to modernize their data, analytics and application infrastructures.”

A token is a value that goes securely through the network to process payments without exposing actual card data. Tokenization aims to replace or represent specific sensitive information without compromising its security. The 16-digit payment card account number is replaced with a unique digital identifier, or the “token,” for mobile and online transactions. The tokens are randomly assigned, so it’s near impossible to reverse-engineer or compromise a token.

In the first blog of this series, I used the metaphor of a bridge connecting two towns to illustrate the importance of establishing purposeful connections between your shift left and shift right testing initiatives. Modern product organizations that fail to engineer a bridge to link the two “towns” (shift left and shift right) will, at a minimum, suboptimally utilize precious human and machine testing resources.

There are a number of things to consider when automating your mobile app tests, but first and foremost is to decide which tests should be and can be automated. This means understanding the business goals that are most important to your organization, as well as the risks you want to manage and mitigate. Mobile app testing is ultimately about managing risk, and the only way to do that is to align testing practices with the most critical business processes and goals you need to cover.

Selenium is a popular automation testing framework, and we all know about it. Its features and performance metrics have garnered positive reviews from testers ranging from freshers to veterans. If we talk about its working by considering a small task of handling iFrames in Selenium, as soon as we execute the script, the browser opens and starts to find out its target based on locators. This is how we generally do almost all the tasks in Selenium.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

How long do users stay on your website? 50+ experts spill their secrets on how to improve your average session duration and what numbers to aim for.

The modern enterprise taps into over 400 different data sources to extract the insights that sharpen its competitive edge. The complexity, though, does not stop at the origin, where data is generated. To get valuable insights from raw data enterprises must extract data from its source, transform the data (clean and aggregate it), and finally load the data into a data warehouse or BI tool, where it is served to data scientists for analysis.