Customer experiences matter. And many businesses struggle to improve them. More often than not, a bad process is to blame: manual tasks, data spread across too many systems, or even just old ad hoc workflows that linger on because that’s how it’s always been done. But the cost of ignoring these issues is high.

While designers and SEO experts are united in their focus on addressing user experience and user intent when designing a website, there are some areas where they don’t always see eye to eye. These include labeling for users vs. labeling for search engines and consolidation of content vs. expansion of content. Is there a way to address the needs of both sides while creating the best possible user outcome? Absolutely.

Ruby on Rails has changed how we build web applications. Early on, the framework came with some great features to help you get started and build robust applications. However, it can still be tricky to build and handle forms. Simple Form is a great option. Let's examine what Simple Form is, why we might need it, and some real use cases.

DevOps significantly changed the software industry. From a siloed process where the focus was entirely placed on development, leaving little to no time to properly test it, to a combination of the two, simultaneously developing testing to shorten the cycle. CI/CD is the key to that innovation, and Jenkins is one of the most popular CI tools on the market. We’ll learn how to do Continuous Integration with Jenkins in this step-by-step guide.

Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.

Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?” and “Why was it created? Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability.

In the digital age of modernizing payment services and opening financial services, data is a pivotal step in transitioning the payment industry from Open Banking to Open Finance. Through Open Banking, third-party service providers have secured and permissioned access to users’ bank account information. Through Open Finance, customers can securely share non-banking data like mortgages, pensions, insurance, taxes, savings, etc. via APIs.