Appian is the leader in enterprise low-code automation. We didn’t get there by being complacent, but rather from continuous, industry-leading innovations. With each release, we reinforce our commitment to helping you build apps and workflows rapidly on our low-code automation platform to help you maximize your resources and improve business results.
Appian 21.1 incorporates many highly-requested features that improve usability and productivity including updated low-code RPA and intelligent document processing (IDP) features.
In a new survey, data engineers say they’re capable of delivering more business value — but outdated processes hold them back.
The rise of operational analytics will create new roles and opportunities for data teams.
Centralize your CRM data and perfect your customer experience.
With our newly released White Labelled Reports for performance tests, you can now print the PDF reports in multiple languages. This applies to our load testing cloud tool and also for load tests using JMeter test scripts.
NodeSource is very excited to announce the addition of Worker Threads support in N|Solid, it’s an amazing new feature for our customers on their journey with Node.js. Worker Threads are a very powerful feature in Node.js that allows developers to build more complex and robust applications.
Not many areas feature as much innovation as the area of app development. Recently we explored various mobile app trends from social media to virtual experiences. App development has become more innovative over time—and we have effective technologies and platforms helping us develop, test, and release successful applications. Most companies think of creating a B2B native app without considering other options available – namely, the web app.
We’re proud to share that Iguazio has received an honorable mention in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2021. This is the second year in a row that Iguazio receives this recognition. The 2021 report assesses 20 vendors of platforms enabling data scientists and engineers to develop, deploy and manage AI/ML in the enterprise, across a wide array of criteria relating to their capabilities, performance and completeness of vision.
Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks.
