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With the explosion of digital innovation, there has been an equal explosion in tools and techniques to wrangle the ever growing amount of data. Maybe you’ve heard of But among the hottest new trends is building a Data Fabric. A data fabric connects data across systems to create a unified view without needing to move data from where it currently lives. This provides a core capability for the composable design of business applications leveraging multiple systems.

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.

Our mission to help you improve and streamline how you operate continues. Process automation is the foundation of what we do. Appian 22.4 brings Appian Data Fabric, a wealth of new features, and a unified software development lifecycle experience that stretches across the entire platform to simplify and accelerate all your most critical business processes. If you want to learn about everything new in Appian 22.4, check out the 22.4 release webinar. Highlights from the 22.4 release.

The above definition of user experience (UX) explains why Appian continues to be a leader and innovator in process automation. We know that it’s not just providing developers with the technology they need that’s important, but it’s also how visually appealing and easy to use those tools are. And just as important is delivering the flexibility that allows you to create apps and interfaces that delight end users.

To get the most out of any technology investment, you have to be sure you're using it in the right way. Just as you wouldn't remove a lid from a jar with a spatula, you shouldn’t use robotic process automation (RPA) for a purpose it isn't well suited to. The same is true for process mining and RPA. To maximize the benefits of both, you first need to understand what these two technologies do best.

Financial services institutions are playing the long game in working toward digital transformation. Considering the rapid rate of change and innovation over just the last 10 years, leading financial organizations are realizing that digital transformation isn’t a destination. It’s a journey. While there isn’t one right way to approach digital transformation, some strategies are less effective than others.

Manufacturing companies face complex challenges in a competitive landscape. To meet these enormous challenges, manufacturers have long invested in continuous improvement methodologies like lean manufacturing. Also, increasing numbers of manufacturers are adapting and investing in Industry 4.0 technologies to tame the complexity by increasing automation, adopting smart machines, and enhancing smart factories.

Banks and financial institutions are highly regulated, where any noncompliance with strict rules and regulations can lead to heavy fines. Add to that skyrocketing customer expectations and it’s easy to see why finance is so competitive. Success in this environment requires accountability, coupled with process efficiency and the ability to optimize for continuous improvement. How do you get there? Process mining in finance is quickly becoming integral to success.

Is it enough? The data we consume in our homes and businesses continues to grow at a blistering pace. Internet of Things (IoT) device connections are also increasing exponentially, with the average number of devices per connected home more than doubling just over the past couple of years. To address all of this growth, service providers are continuously expanding their fiber to the premise (FTTP) and hybrid fiber-coax (HFC) footprint.

Processes are the heart of every organization and every workflow. But if yours are a bit of a mess, you’re not alone. Businesses everywhere are struggling with inefficiency and just can’t seem to digitize workflows fast enough. And when they do, it’s hard to tell if they've even improved the problems they set out to solve in the first place. . . or just created more chaos.