Systems | Development | Analytics | API | Testing

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.

COVID-19 and its impact have demonstrated that change can be rapid, disruptive, and non-negotiable. This is especially relevant to enterprise risk management, where the challenge can be summed up in one word: recalibration. Many financial institutions have been investing in model-driven analysis and data-anchored approaches. We know that the models themselves must adapt as situations change. But what about the processes and policy governance that surround these models?

For life sciences organizations today, COVID-19 and an increasingly complex regulatory landscape are spurring an urgent need to launch new applications–fast. Yet a number of challenges stand in the way, including complex business processes, concerns about data security and integrity, and even just knowing where to begin on the right tech solution to put in place.

The COVID-19 pandemic has forced government organizations to reassess their strategies, plans, and aspirations for digital transformation. Despite this uncertainty, IT leaders must quickly identify and act on strategies and plans that lead to positive outcomes. In many cases, governments will expand the role of digital technologies in service and program delivery.