Financial services industry leaders overwhelmingly choose low-code platforms to manage their automation—81% of industry-leading companies say they are ahead or far ahead of competitors in adopting low-code platforms. What makes platforms so appealing to these companies? Well, many things, but not least the way they enable non-technical employees to design and manage applications and automation workflows with little to no developer support. In other words, their ability to democratize automation.
Disaster Recovery (DR) is crucial to every organization. Business continuity is important whether you live in an area prone to natural disasters or need to prepare for unseen events like a data center outage. But how do you ensure that the changes behind the scenes don’t impact the end user? Red Hat Ansible Automation Platform (AAP) is the automation tool of choice for many enterprises.
Every new software, method, or tool comes with certain growing pains and takes some time to get used to, although it’s almost always worth the adoption effort, a major part of which is testing. Test automation dramatically improves your processes, saves you time and resources, and ultimately leads to higher-quality software. But you can’t just jump into it and expect the automation to produce the results you want.
Software testing was initially a manual activity, however, due to the importance of speedy delivery, the transition to automation testing is predictable. Unfortunately, this shift can become an overwhelming voyage, especially for startups without a dedicated QA team. Suppose you are a manual tester (or developer) seeking an automation solution to speed up your project.
In the financial services industry, it is common for employees to spend significant time on manual, repetitive tasks that need to be completed with high speed and accuracy. Complex processes like customer onboarding, mortgage lending, and customer service are filled with routine tasks like data entry, invoice processing, response tracking, and reminders. Automation frees employees from rote tasks that are better suited to simple bots, resulting in both financial and opportunity cost savings.
