In 20.1, Appian introduced Intelligent Document Processing or IDP. IDP lets Appian users leverage artificial intelligence to transform unstructured data from their business documents into structured data. Many business documents such as invoices, POs, loan applications, insurance claims, etc., include forms and/or check boxes. To support such use cases 20.3 now includes the ability to recognize and extract table and checkbox data from documents.

In challenging circumstances, the UK banking sector is showing signs of greater agility and innovation than possibly ever before, say the results of a new survey. Working with FT Focus, we polled senior leaders from retail, commercial and investment banks with a presence in the UK to uncover the impact of COVID-19 on core operations. The results make for interesting reading. Some 78% of respondents said that UK banks have “surprised themselves with their adaptability during the pandemic.

In the software testing world, there are two types of testing techniques — manual and automated. Both aim to execute the test case and then compare the actual outcome with the expected result. Manual testing is a testing technique that requires significant human effort to ensure a software solution does everything that it is supposed to do. While great for specific test cases, excessive use of manual testing proved to be inefficient over time.

Although there’s no denying that manual testing will always stay relevant, there’s an increasing demand for automated testing. It brings on many benefits for companies and teams: time efficiency, extensive coverage. But how to best develop an automated testing strategy? In this article, we’ll show you some best practices in all 7 stages of your test automation strategy to maximize your experiences.

Stay tuned for improvements to Intelligent Document Processing, DevOps capabilities, and UI improvements. Information lives in silos across the enterprise, causing inefficiencies and delays for your workforce. Records can provide that single-pane-of-glass view that users look for. However, some external data sources are slow, or even worse, rate limited by the vendor hosting that data. Appian’s new feature, Synced Records, offers a solution to this problem.

With the blistering pace of digital transformation, disruption won’t wait for organizations to adapt. In fact, the most important application you write from year to year might be software you have only weeks to write. The best option for success is a software delivery methodology that delivers value fast. Which is where our newly published Appian Delivery Methodology comes in.

If there was a theme around Appian 20.3, it is building on top of an already capable platform. For example, Appian records have been a customer favorite for several years. Records are easy-to-build, and they centralize data from multiple sources into a single actionable view. In this release, we build on the power of Appian records with record-powered grids.

Recently my son asked for a new video game. I get this request fairly often, so I decided to test how badly he really wanted it. I asked for a brief write-up explaining why he wanted to buy it. Because he’s used to my strange requests and adding absurd obstacles to simple processes, he agreed. After less than an hour, I received a decently crafted document for my immediate review. But to further test his commitment, I added comments where I wanted to see more detail.