Systems | Development | Analytics | API | Testing

The COVID-19 pandemic and the resulting economic uncertainty forced businesses to rethink how they approach growth. This especially rang true in the financial services industry, where financial trends have the most direct impact. Curiosity, collaboration, and adaptability all became key to surviving this new climate.

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video. This makes gathering information for decision making a challenge.

Our users surprise us every day. They constantly find new and exciting ways to use our apps, and create all kinds of edge cases with their behaviour. As developers, it’s impossible to predict every single edge case. What we can do, however, is train our apps to react, and this is the core of Reactive programming, a development paradigm which has rapidly gained popularity for Swift programmers in recent years.

Think about the monotonous task of extracting data from sources like spreadsheets and emails and typing it into various systems. Repetitive tasks and manual workflows lurking inside business processes slow down teams, introduce human error, and erode employee engagement. Slow, ineffective processes can also kill an organization’s time to market and customer satisfaction.

Organizations use enterprise resource planning (ERP) programs to meet the needs of an always-on culture in which a business's ability to pivot efficiently is important. Our five key takeaways about ERP integration and its business potential are.

An application programming interface (API) defines a set of rules and protocols that allow different software entities to communicate with one another. Open or public APIs offer free access to everyone with little or no restrictions. These public APIs allow developers to build innovative solutions and extend existing ones covering a variety of use cases. In this article, we cover some of the best open APIs from different categories.

The payments industry is evolving rapidly, fueled by technological advancements, changing consumer behaviors, and a growing appetite for real-time transactions. As this transformation unfolds, new standards have been introduced to ensure the payments ecosystem's safety, security, and efficiency.

For data engineers, the Generative AI (Gen AI) era is a transformative shift in how we approach data architecture and analytics. Professionals at the forefront of this shift will be gathering in San Francisco, at the Data+AI Summit June 10-13. Attendees will be exploring tools that integrate with Databricks Intelligent Data Platform that decrease data management costs and improve data's impact on business outcomes.

We're thrilled to announce the general availability of Kong Gateway Open Source (OSS) 3.7. This latest version features cutting-edge AI Gateway updates with new streaming plugins, as well as performance and security improvements. Let’s dive into the enhancements and explore the tangible benefits that these features bring to your organization.

AI can offer transformative business value. But you need the right combination of capabilities. Appian is continuing its history of providing practical value to enterprises across industries with the new AI capabilities in our 24.2 release—from 11 new generative AI skills that help you optimize mission-critical processes to the release of our Enterprise Copilot that gives users instant answers to their questions. This post will cover the latest enhancements to our AI offerings.