Many pharmaceutical companies have been around for decades and have to adapt to the ever-evolving, technologically driven world. However, even for pharma companies that have stayed up with technology trends, many still store their data and information in data silos and disparate systems.

APIs, or application programming interfaces, have become vital components for businesses looking to compete in the digital economy. What draws business operations toward API implementation is the fact that APIs afford businesses the opportunity to get more out of their valuable data. Considering that the worldwide API management market size is projected to reach over $13 billion by 2027, it’s clear that APIs have created a prominent place for themselves in the digital economy.

Modern smart technologies are at the heart of the fourth industrial revolution, also known as Industry 4.0, and it holds the promise to completely change the supply chain and manufacturing sectors as we know them. Even if you’re not familiar with the term Industry 4.0 yet, you’re probably aware of the components that form the basis of this new methodology. The Internet of Things (IoT), embedded software, and microservice architecture are making all of this possible.

API abuse was once one of the most infrequent vectors for cyber security attacks. It has now moved up the list to be one of the most frequently used techniques. In a time when data is a company’s competitive edge, more and more organizations are embracing APIs to integrate various databases and applications effectively. With the amount of information shared between these APIs, securing the data and user access to that information has become increasingly important.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. It’s a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. What is a data mesh, and how could it benefit your business?

Trying to determine what applications your organization needs? The application integration question can be a challenging exercise. According to a recent study, only 30% of companies succeed at digital transformation. Their lack of innovation proved one key point: companies must be agile and quick enough to implement new technologies if they wish to remain competitive.

Digital transformation is one of the hottest new business models in the enterprise today. Going through this process places digital technologies front and center in all of a company’s strategic goals. And it’s not an easy undertaking, either. You’ll need to contemplate and analyze core business functions carefully. You’ll also need to involve change management and invest time and resources, but the potential rewards are many.

The fourth industrial revolution is here! Industry 4.0 reinvents the way manufacturing companies complete day-to-day tasks by digitizing production processes. The latest technological advancements can lower operating costs, lessen product waste, reduce production line downtime, improve quality protocols, and allow manufacturers to make better use of factory resources.

The past two decades have seen enterprise IT emerge and grow, bringing many innovative technologies into the workplace. Every year that passes promises IT system upgrades rendering some systems and programs obsolete much sooner than in tech’s early days. Yet some older hardware and software remain in use. These outdated systems, known as legacy systems, put companies at a huge disadvantage compared with competitors embracing modern technology.

Every day, humans produce 2.5 quintillion bytes of data. Just to put that number into perspective, there are 18 zeros in a quintillion. Unifying data can allow you to take advantage of it and benefit your business. The vast majority of organizations have collected nearly endless amounts of data. Yet, these same organizations are starving for information that can be used to make more informed decisions. Information may be stored in databases that don’t talk to each other.