The first secure, enterprise-grade generative AI platform We have an exciting announcement! On Thursday, May 18, we released ClearGPT, the first generative AI platform that transcends enterprise ChatGPT challenges. ClearGPT is the only secure, enterprise-grade platform offering state-of-the-art LLMs, tailored to your business data and running securely on your network, to power enterprise AI transformation. Prefer to watch the 2-minute video and see how it works? Watch now.

In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp, a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.

Cross-browser testing can help you find and fix rendering issues on your website before they impact the customer experience.

Does your version control system support your team’s proactive monitoring efforts? Perforce Helix Core customers often test the limits of scale and performance on different dimensions. Some of these dimensions include the number of files, the size of files, the number of users, and the number of concurrent transactions. As these dimensions are stressed, oftentimes server resources, such as memory and CPU, are also stressed.

Keep track of new releases for our data connectors and data models for dbt with this regularly updated list.

There are millions of data products out there, some successful and others…less so. But the truly standout data products are the ones that change users’ behavior. You know you’ve built something special when your users start forming habits around your product. The question is, how do you create something that stands out in a sea of data products? We believe it comes down to one thing: a relentless focus on delivering user value.

AutoML (Automated Machine Learning) helps organizations deploy Machine Learning (ML) models faster, by making the ML pipeline process more efficient and less error-prone. If you’re getting started with AutoML, this article will take you through the first steps you need to find a tool and get started. If you’re at an advanced stage, it will help you validate you’re on the right track.

In today's fast-paced world, businesses generate massive amounts of data every second. With the sheer volume of data being produced, it's becoming increasingly difficult to monitor, detect and troubleshoot errors in real time. That's where data observability solutions come into play. Two of the most popular tools in this space are Integrate.io and Monte Carlo.

Even the most prominent and reliable frameworks are notorious for burning out resources if not configured perfectly. In this post, we are about to take a look at how Ruby, one of the most prominent programming languages and an awesome web application alternative when combined with Rails, manages memory, and how you can make it perform even better. Ruby is a scripting language built for use in web applications and similar stuff.

Amazon Redshift is a completely managed Data Warehouse, offered as a cloud service by Amazon. It can scale up to petabytes of data and offers great performance even for complex queries. Table of Contents Its columnar nature with Postgres as the querying standard makes it very popular for analytical and reporting use cases. These days it is very common to use Amazon Redshift as the backbone Data Warehouse for highly reliable ETL or ELT systems.