Working with teams limited to a geographical location, talent pool, and technology stack can undermine the possibilities of a business’s digital offerings. That is the reason services like software development outsourcing became popular. However, even with global access to talent and technology, outsourcing services must be more cohesive and often need more imagination for modern digital innovations. This is what set the stage for Global Capability Centers (GCCs).

Appian was already the scalability leader, but the Autoscale feature in our 24.4 release is taking our customers even further. Autoscale lets enterprises execute six million processes per hour. It's what today's IT teams need to handle unprecedented process volume without sacrificing agility. This blog is a technical overview of Autoscale. Appian is the process company. For more than 25 years, industry-defining organizations have turned to Appian to orchestrate their most important processes.

Federal government agencies are facing a growing workforce challenge. The looming retirement wave, particularly among experienced baby boomers, threatens to leave critical knowledge gaps in agencies that are already struggling with understaffing. To bridge this gap, government agencies must focus on appealing to a younger workforce that brings fresh perspectives, technological expertise, and a strong desire to make an impact.

In today’s data-driven world, visualization goes beyond displaying numbers — it’s about empowering users to express meaningful stories from data. Visualization is key to quickly interpreting data, uncovering patterns and trends, and enabling faster, more trusted decisions. At ThoughtSpot, we have always championed making data accessible and actionable for everyone. With our AI-powered analytics, any user can self-serve key business insights within seconds.

The Java Map interface is a powerful data structure for handling key-value pairs. Present in the java.util package, it’s ideal for managing data associations where each key maps to a specific value. Common use cases include counting occurrences (e.g., word frequency in text), grouping data (e.g., products by category), or accessing items by specific identifiers (e.g., user IDs).

After spending hours or even days manually testing your software, you may be wondering whether or not there’s a better way. The good news? There is.

Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.

Composability is a growing trend in enterprise software development. It means designing your organization to be flexible so you can adapt to change in real time. Modularity lies at the heart of composability. Modular approaches have been around for decades, such as in service-oriented architecture (SOA) and microservices. But the rise of low-code platforms, cloud computing, and modern integration tools has made it easier to implement composable architectures at scale.

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.