The 22.4 release ends the year on a high note with faster Appian Portal deployment (via the Appian Designer), a stylish rebrand of the Appian Process Modeler (to keep your workflow looking good), and a time-saving automation upgrade (of the RPA agent launch process). With the last release of 2022, we want to say a special thank you to our dedicated Community of developers and engineers. Your expertise, feedback, and dedication to Appian are what keep us improving and expanding with every feature.
Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.
I recently had the privilege of attending the CDAO event in Boston hosted by Corinium. Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory.
For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Hikari Senju, Founder and CEO of Omneky. Hikari Senju is the founder and chief executive officer of Omneky, an AI platform for generating, analyzing, and optimizing personalized ads at scale.
As unpleasant as they are, errors are crucial to software development. When developing an application, we usually don't have full control over the parties interacting with a program and its hosts (including operating system versions, processors, and network speed). It's important you have an error reporting system to diagnose errors and make errors human-readable. In this post, we'll first look at the two common types of errors.
