On many occasions, your mobile phone may be out of network coverage. Or you may be traveling in a remote area without network connectivity. In this digital era, don’t you think you should be given the option to pay digitally in such situations, even when there is a network issue? Being able to pay digitally is far better than the need to carry cash for payments, but that is a separate topic on which we can have a particular blog later.

In the business world, the best case scenario is a client who wants what you can provide. Having a highly engaged, informed, and active consumer means having a partner who can help make your product and market performance that much better. The gold standard in this category is a PQL, or a Product Qualified Lead. What exactly is a PQL? And why is it so beneficial to target?

Integrating Cloudflare with Moesif allows businesses to leverage Cloudflare’s robust network services along with Moesif’s sophisticated API analytics and monitoring. This integration can be particularly beneficial for understanding user interactions with your APIs and improving API performance and reliability, and is quite easy to accomplish. There are two core paths to using Moesif with Cloudflare.

It is unbelievable how AI is changing our lives by automating some of the most tedious tasks. Thanks to the fast development of AI technologies, the content marketing industry is changing on a daily basis. Here are 7 AI-driven tools that will help you improve your content quality.

As companies increasingly rely on API based systems and processes, API management becomes more and more important, serving as the linchpin for facilitating communication between internal and external applications or services. Deciding which API management solution best fits your business’ use cases is no easy feat. Picking a tool that caters to the complex needs of your organization’s digital transformation starts with understanding the market and your products’ needs.

The enterprise app market has been growing faster than ever before, due to the recent spike in demand for AI / ML workloads. These new types of apps operate over large sets of data, have increasingly higher compute demands, require strict data privacy protections, provide very sophisticated web experiences, and need to be secure at all stages of their life cycles. While such apps are being created at a very fast pace, there are two main challenges.