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.

Imagine you’ve just started a new job working as a business analyst. You’ve been given a new burning business question that needs an immediate answer. How long would it take you to find the data you need to even begin to come up with a data-driven response? Imagine how many iterations of query writing you’d have to go through. In this scenario, you also have reports that need updating as well. Those contain some of the biggest hair-ball queries you’ve ever seen.

Application Programming Interfaces (APIs) are the glue powering SaaS application connectivity. However, ensuring smooth operation of APIs requires more than just implementation; vigilant oversight and alerting can make or break your API products.

Adopting and deploying Generative AI within your organization is pivotal to driving innovation and outsmarting the competition while at the same time, creating efficiency, productivity, and sustainable growth. Acknowledging that AI adoption is not a one-size-fits-all process, each organization will have its unique set of use cases, challenges, objectives, and resources.

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.

ServiceNow is focused on making the world work better for everyone. More than 7,700 customers rely on ServiceNow’s platform and solutions to optimize processes, break down silos and drive business value. Achieving 20% year-over-year growth with a 98% renewal rate (as of Q1 2023) requires a data-driven understanding of the customer journey.

The rise of generative AI (gen AI) is inspiring organizations to envision a future in which AI is integrated into all aspects of their operations for a more human, personalized and efficient customer experience. However, getting the required compute infrastructure into place, particularly GPUs for large language models (LLMs), is a real challenge. Accessing the necessary resources from cloud providers demands careful planning and up to month-long wait times due to the high demand for GPUs.