Low-code technology has been on the rise, especially with the advent of low-code application development technologies that focus on software architecture and workflow automation. Appian, a company known for its low-code platform, has expanded its focus to include process mining and unified information functions through its data fabric technology. The goal is to create a unified, secure, and optimized way of working with data, especially in the era of generative Artificial Intelligence (gen-AI).
A key component of Appian’s offering is its data fabric, which connects data across different systems to create a unified view without the need to migrate data. This data fabric serves as a virtualized data layer that allows users to communicate with disparate data sources using a common dialect. Appian CEO Matt Calkins emphasizes the importance of data rights in deploying software and believes that the focus should shift from AI as an existential threat to using AI to increase productivity.
Calkins envisions a future where humans work alongside AI as “orchestrators” rather than being replaced by machines. The role of humans will become more human as AI takes over repetitive and rote tasks, allowing individuals to focus on higher-level process control. The key to effective communication with AI lies in developing a common language that facilitates interaction and data exchange between humans and machines.
Appian’s latest platform update introduces Process HQ, a combination of process mining, generative AI, and the Appian data fabric. This tool provides visibility into business operations, enabling data-driven decisions and process improvements. Business users can explore their workflows and gain insights using AI-powered analysis, identify bottlenecks, errors, and delays, and make process improvements using Appian’s process automation capabilities.
The company’s generative AI enhancements include the Appian Prompt Builder AI skill, which allows users to create prompts and responses using prebuilt prompts for common use cases. Appian AI Copilot streamlines development tasks by generating sample data and suggesting test cases aligned with users’ business roles. These tools accelerate the development lifecycle and ensure comprehensive test coverage and accurate execution of business logic.
As low-code technology continues to gain traction, companies like Appian are driving the platform forward with AI-enriched optimizations and process improvements. The goal is to empower developers with a wider set of tools to create more meaningful applications and data services. By emphasizing data privacy and security controls, Appian aims to ensure responsible automation and elevate the role of humans in the AI-driven economy. With a focus on eliminating subjectivity and enabling data-driven decisions, the company is helping organizations leverage automation to its full potential.
