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Latest News

Continual's $14.5M Series A and General Availability

‍ Today, we’re excited to announce the general availability of Continual, the missing AI layer for the modern data stack. We’ve also raised a $14.5M Series A, led by Innovation Endeavors and joined by Amplify Partners, Illuminate Ventures, Inspired Capital, Data Community Fund, Activation, New Normal, GTMfund, and angels Tomer Shiran, the founder of Dremio, and Tristan Handy, the founder of dbt Labs.

Appian 22.2: New Look. New Approach.

In our 22.1 release, you learned about total experience—an opportunity to connect customer experience (CX), employee experience (EX), user experience (UX), and multiexperience (MX) to transform your organization from every angle. If you’re able to harness this opportunity, you will outperform competitors by 25% in satisfaction metrics for both CX and EX.

5 Intuitive Build Features in the Appian 22.2 Release

When your tools are intuitive, when they feel like a seamless extension of your capabilities, then your power to create is unlimited. In Appian 22.2, we deliver new features that continue to make development an intuitive experience, empowering you to build everything more quickly and efficiently. From guided security configurations to tracking changes across individual and team revisions, having the information you need as you build makes for a powerful app building experience.

Low-Code + Fresh Data = Better Business Decisions

Sync Records Smart Service now available in Appian 22.2 release Data is the most important part of your business. It drives your business processes, as well as your customer and employee journeys. And with data being collected and stored in various systems, it can easily become outdated and lead to inaccurate business decisions. Though 91% of businesses say data-driven decision making is important to their success, only 57% of businesses are successfully implementing this.

Anodot Named by Forrester in Future of Business Intelligence Report

It’s hard to believe enterprise BI platforms have been around for three decades. In that time, they have served the purpose of collecting and analyzing large amounts of data to help businesses make more informed decisions. But in today’s data-driven economy, analysts struggle to keep up with the myriad of business intelligence reports from traditional BI tools – which fail to effectively and efficiently analyze and interpret data in real-time.