The command-line interface (CLI) can be a powerful tool for developers. You can use it as part of your development workflow to add new features to your application and to perform tasks in a production environment. Laravel allows you to create "Artisan commands" to add bespoke functionality to your application. It also provides a Process facade that you can use to run OS (operating system) processes from your Laravel application to perform tasks such as running custom shell scripts.

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML, the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake.

In this post, the first of a two-part series, we'll cover how Elixir applications can be traced using OpenTelemetry and how macros can make this process super easy and streamlined. First, we'll talk about tracing and OpenTelemetry in Elixir. Then we'll improve our custom tracing layer step-by-step until we get an easy and seamless tool to trace our application. Let's get started!

Effective data visualization is an important aspect of creating impactful and actionable reflections of key metrics in today’s business environment. Our five key takeaways are: This piece explores data visualization best practices and core principles, from integration to analysis, and the skills you need to create stunning dashboards, breathe life into your KPIs, and discover the secret to designing data visuals that shine.

With advancements occurring at a rapid rate, it becomes extremely crucial to ensure the overall safety & quality of healthcare solutions in this MedTech's dynamic landscape. Just as technology has taken the entire world by storm, it is playing an extensive role in the advancement of the healthcare industry, which further enhances the significance of Quality Assurance (QA) and software testing services.

Today’s IT teams are struggling to make sense of organizational data that has been compiled piecemeal and often stored within disparate storage solutions. Often this information needs to be aggregated and presented in a unified format, yet pulling data from multiple data sources and displaying it in a coherent way can be onerous and error-prone. The challenge is compounded when the data resides in different databases, and possibly within different clouds.

In recent years, cybersecurity has faced increasingly sophisticated threats, making it crucial for organizations to develop robust systems for threat detection and response. One emerging technology that holds promise in this domain is ChatGPT, an advanced natural language processing model developed by OpenAI. In this blog post, we will explore how ChatGPT can be leveraged to enhance threat detection and response in cybersecurity.

This is the third in a series of posts on adding an in-game chat room with React. In the first post, we added a chat room to a game of tic-tac-toe. In the second, we used Presence to add typing indicators that show us when the other person in the chat is typing. With all of that in place, this post will build on our chat app even further.

The rise of AI and LLMs in our world is revolutionizing the applications we’re building and the customer experiences we’re delivering. This is one of the pivotal moments in our industry where we cross over an intersection in our technology evolution to enter a new journey with a paradigm shift. Past intersections were the rise of mobile, the rise of the cloud, and the rise of microservices, among others. Some people may even say that AI is as revolutionary as the birth of the internet.

Ready or not, AI workflow automation is poised to transform business operations from the shop floor to the C-suite in the AI economy. The situation is a byproduct of the generative AI boom. And yet, so many companies have hardly scratched the surface of AI automation’s full potential in their business operations. The more these companies get AI workflow automation to work for them, the more agility, efficiency, productivity, and economies of scale they’ll get back for themselves.