The Zsh shell is a powerful and versatile command-line interface that enhances user productivity with its advanced features and customization options. Among the essential commands in any shell environment is the ‘ls’ command, which lists directory contents. However, users often seek alternatives to the default ‘ls’ command to overcome its limitations and enhance their workflow.

As technology evolves, the skills gap within IT departments continues to widen. New technologies are being adopted more quickly to keep pace with business changes, necessitating a constant update of skills. Yet, fully outsourcing these skills isn’t always the solution, as they are a core part of any IT organization. To effectively address this issue, we need a strategy that focuses on continually closing the skills gap.

Many business processes involve communicating with external parties such as suppliers, logistics providers, insurance providers, and government institutions. Unlike internal communications, these inter-organizational communications usually have to follow various regulations and standards, and could introduce delays if one party doesn’t comply. Therefore, effective business-to-business (B2B) integrations are a key part of most digital transformation projects.

In the insurance industry, the claims process can often feel like a complex maze of manual processes for both customers and agents. However, new and advanced technologies are paving the way for smoother, more efficient claims handling. Claims processing automation at insurance companies can streamline routine tasks, reduce risk of errors, and enhance customer satisfaction. In this blog, we’ll explore three key areas to focus on for effective automation.

Continuous integration (CI) pipelines are an important part of building and deploying reliable software. Whether it's building a Docker image, running tests, or even just doing code linting, CI pipelines help you automate repetitive tasks and ship better code even faster. GitHub Actions lets you create pipelines to build containers, test source code, and publish software.

‍ They started in awe, which soon turned into desperation to keep up, and it is only now that we have started realizing the utility and business value of our Artificial Intelligence (AI) goals. I like this stage of our industrial revolution, where we are no longer expecting magic from AI but are integrating it nevertheless for all the wonders it can still do for our businesses. This was the same space where our DevOps efforts started yielding enterprise-level transformations.

Business leaders find themselves involved in a range of high-priority tasks, most of which require making critical decisions. Let’s say you’re the sales head of a global organization. You’re ready to make an important decision about next quarter’s sales strategy, but you must first look at the right data set. You know it exists somewhere in your organization’s databases, yet it’s not within the arm’s reach.

Let’s be real – client reporting often feels like the marketing world’s equivalent of doing taxes—tedious, time-consuming, and to be honest, not the reason you got into this field. Adding to the frustration is the fact that, more often than not, many clients don’t even understand their reports. That’s why marketers often talk about how reporting feels like a necessary evil. But what if we looked at reporting as a tool for client retention?

One method that developers use to submit code modifications for evaluation is known as pull requests (PRs). We discussed the advantages of testing PRs in software development in a previous post but before merging into the main branch, they give team members a chance to talk about the changes, make suggestions, and accept or reject the code. To keep code quality high and make sure that the team reviews all changes, this approach is essential.

BigQuery data preparation is an AI-first solution that streamlines and simplifies the data preparation process as part of Gemini in BigQuery.