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An innovative new product idea can be genuinely exciting but it’s the execution that delivers value. How fast you can get a product or feature to market can be the difference between a solid return on investment or missing the moment because someone else got there first. With realtime experiences as a core part of almost every web and mobile based app, how well and how quickly you can deliver realtime infrastructure is a core factor in your time to market.

With the new year well underway, you might be feeling like all the new initiatives, lists of priorities, and looming project deadlines are endless—and you’re probably wondering how you’ll get it all done. Appian is here to help.

The philosophy behind continuous improvement is simple: incremental and ongoing changes to your organization result in more efficient business processes, better products, and superior customer experiences. The pursuit of excellence is familiar to many of us in our daily work, and your organization may already have a culture, goal, or process management method designed to improve performance and facilitate operational excellence.

Today, data is the lifeblood of every organization. Without it, you’re left without key insights into business processes, consumers, employees, and the overall health of your entire organization. And here’s the scariest part: most organizations are on life support due to their inability to properly manage their data and turn it into actionable insights. Data fabric technology can help in a significant way, which is why it’s been getting so much buzz recently.

Our next-generation API management platform built on a Kubernetes-native architecture on top of Envoy Proxy

Data fabrics are getting a lot of attention lately, and for good reason. But, for any topic with a lot of hype, there also tends to be a lot of confusion. If you are still trying to fully grasp where the concept of a data fabric architecture fits amongst all of the warehouses, lakes, lakehouses, and meshes of the data engineering world, let's set the record straight. What is a data fabric? A data fabric is a toolset that connects data across disparate sources to create a unified data model.

Ractor is Ruby's new Actor-like concurrency abstraction—it lets execute code in parallel without worrying about thread safety. This article is an excellent introduction to Ractors and how to begin using them in your Ruby code.

Artificial intelligence (AI) and machine learning (ML) bring significant efficiency gains to organizations and should play critical roles in any digital transformation efforts. One major use case for these technologies is AI document processing, also known as intelligent document processing (IDP). Organizations amass a large number of business documents—from invoices in billing departments to medical coding documents at hospitals.

Why do experiences matter? In turbulent economic times, organizations that can't offer high-quality digital products and services with excellent experiences cannot attract and retain customers and employees. Customers today are seeking more than just products or services. They are looking for memorable experiences that create a lasting impact and emotional connection with the organizations they interact with. And they are more than willing to pay more to have those experiences.