Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

Integrating Artificial Intelligence (AI) in software testing is a major advancement in software development, enhancing efficiency and accuracy while handling complex scenarios. This technological leap introduces significant ethical challenges, such as concerns over data misuse and the need for algorithmic transparency. Understanding and addressing these issues is crucial for fostering responsible innovation in AI.

In the previous blog, the Yellowfin Japan team used Yellowfin's Data Transformation Flow feature to create a database of the CSV file of order history data. In this article, the team will demonstrate how to leverage the database for analysis by processing and formatting said data using native Yellowfin features, including View and Report Builder.

The traditional approach to private or internal Application Programming Interface (API) integrations, characterized by labor-intensive and error-prone manual processes, is rapidly becoming obsolete. This method, limited by its time-consuming nature and lack of scalability, is giving way to an era of automation. Automated API integrations marks a significant leap forward, offering unparalleled efficiency, accuracy, and the ability to evolve.

In the constantly changing healthcare environment, smooth data exchange is not just a luxury; it is a vital necessity. Integrating patient records from Electronic Health Records (EHRs), clinical data repositories, and other healthcare systems unlocks valuable insights, empowering providers to deliver personalized care, fuel groundbreaking research, and streamline operational efficiency.

We're thrilled to announce that Sauce Labs has been honored with the prestigious 2024 DEVIES Award in the category of DevOps: Code Testing & Quality Management. This is a testament to our relentless pursuit of transforming the software development landscape.

Generative AI was undoubtedly the most important data moment of 2023, and created a level of excitement for our industry that will certainly continue to be felt in 2024. As we welcome the new year, I am thrilled to share that Qlik is hitting the ground running on that front: today we are announcing the acquisition of groundbreaking technology from Kyndi, an innovator in natural language processing, search, and generative AI.

Looking for a managed PostgreSQL database with a free tier? We've got you covered. In this article, we'll explore the top PostgreSQL databases with free tiers to use for your applications in 2024. These free-tier options are perfect for side projects, MVPs, and learning how to use cloud databases. All these database solutions integrate with Koyeb, enabling you to seamlessly connect databases hosted by third-party providers to your applications running on the Koyeb platform.

A new BigQuery view that leverages the recent FOCUS specification to help simplify cloud cost management across clouds.

In this series, we have looked at the "musts" (databases) and "shoulds" (asynchronous jobs, websockets) of a web application. Now we turn to one of the "coulds" (that is nonetheless recommended for scaling businesses): caching. In particular, we mean caching HTML fragments and other snippets of data, as referred to in Rails Guides. We are not concerned with HTTP or SQL query caching. In this part, we'll see how to speed up our Rails app using LiteCache.