Systems | Development | Analytics | API | Testing

APIs play a crucial role in SaaS product’s ability to communicate with internal and external applications. APIs have revolutionized the ways in which applications communicate, exchange data, and how software developers and providers structure their systems and products. But managing the large flow of data and information while ensuring data protection and minimal downtime is no easy task.

Adding new features or enhancements to an app is a good thing – unless the changes trigger an unexpected problem. To protect against this risk, QA teams and developers can leverage automated regression testing, which offers a fast and efficient means of confirming that software upgrades or changes don't introduce bugs into applications.

The emergence of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) have enabled the world to immerse into the true digital experiences, blurring the lines between the physical and virtual worlds. While AR overlays digital content in the real world, VR creates entirely immersive digital environments, and MR brings together the elements of both. In the last few years, there has been a dynamic surge in the adoption of AR, VR, and MR technologies.

The focus of today’s new-car buyer centers more on the “Digital Cockpit ecosystem experience” and less on the traditional features, such as horsepower and fuel economy. The automotive industry has made it a priority to deliver that experience with fully connected in-vehicle infotainment (IVI) systems of touchscreen displays, voice commands, and integrated information and entertainment functions.

On-premises software is stored on local machines, such as desktop computers or servers, so people connected to a network can access critical features. Within an enterprise context, on-premises software almost exclusively exists on on-site servers that multiple employees can access. You might already know that many business leaders want to embrace cloud strategies.

Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth.