As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

Modern business runs on software. This involves storing business data, and moving that data from place to place. In the old days, software stored the data in a siloed fashion. This meant it was only available in one place, cutoff from the rest of the world. Companies struggled to pull data from different locations. Combining it in meaningful ways was difficult. This isolated data only provided a fraction of its potential value. In modern applications, the data wants to be free.

Data migration is something that all businesses will have to deal with at some point. Maybe a high level of growth has meant that you have too much data and need a larger server. Or maybe you want to move to a new cloud-based system. Regardless of the specifics, all modern businesses will know the power of unlocking data.

With low-code tools on the rise, building an Application Programming Interface (API) is simpler than ever. Given the ease of development, it is easy to overlook potential problems. Taking a bit more time in the design phase can ensure the API is truly useful, secure, scalable, and stable. Here, we’ll discuss the top ten most common API development mistakes to avoid.

When it comes to enterprise apps vs. microapps, most distinguish microapps as “tiny processes that perform targeted actions in a larger, more complex enterprise app.” While this definition is mostly true, it doesn’t give you the bigger picture of how microapps improve how your team members interact with enterprise-scale applications. Microapps can dramatically streamline workflows across an organization.

As companies strive to differentiate themselves through speed and agility, a well-planned API strategy becomes crucial. However, as demands and customer needs evolve, an API catalogue can quickly become overwhelming. While Kong is a popular tool for organizing API development and management, there are Kong alternatives to consider that may better fit your specific needs.

About a decade ago, cloud computing became the norm in enterprise IT deployments. Infrastructure as a Service (IaaS) and Integrated Platform as a Service (iPaaS) vendors were fiercely competing to deliver the private and public cloud products that would power the next generation of app development, processing, storage, and networking. And since APIs are at the heart of cloud computing, the race was on to deliver the API that developers and sysadmins would most favor. The Cloud API War had begun.

Application programming interfaces (APIs), especially web service APIs, have completely transformed the software development industry. Surveys of CIOs and other enterprise tech leaders in the past 12 months show incredible growth in the number of API consumers, with almost all surveyed agreeing that APIs are a component of their strategies going forward.

As technology continues to evolve at a rapid pace, the importance of staying up-to-date on the latest developments in the realm of APIs becomes increasingly vital. One of the most effective ways to achieve this is by attending conferences that focus specifically on API-related topics. In the upcoming year of 2023, there are a plethora of such events being held across the globe, each offering valuable insights and opportunities for networking and professional development.