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The Lowdown on Low-Code for AI Development

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The low-code development platform has been steadily gaining traction over the past few years. Designed to simplify the development process, low-code enables the creation of software and processes using simple GUIs in place of traditional programming. An ideal fit for streamlining business processes, databases and web applications, developers are now turning to low-code for artificial intelligence (AI) applications and integrations.

One of the most interesting aspects of low-code development is that the platform inherently feeds itself. Some of the most popular low-code platforms use AI, automation and business process management to streamline development of those very same technologies. The result is an extremely powerful and potentially self-aware development tool that builds on its own knowledgebase to create innovative software and applications.

Appian is one of the main players in the low-code space, offering a platform designed to orchestrate business processes across people, robots, systems and AI. The company offers native AI services along with no-code integration with leading AI and machine learning platforms through a fast, visually-driven offering. Appian boasts that its users will be able to deliver business applications 20 times faster, with a company motto that developers can go from idea to app in eight weeks.

C3.ai is another company dipping into the low-code space, offering the recently released C3 Integrated Development Studio. The Studio offers a low-code/no-code environment geared toward the development, deployment and operation of enterprise AI applications. The platform is based on data ingestion and modeling as well as machine learning and model lifecycle management. It is available as a hybrid, multi-cloud distributed architecture for quick and easily scalable application development.

“With C3 IDS, we rapidly developed and deployed a predictive maintenance AI application into production,” said Ryan Gross, a leader in the machine learning practice at Pariveda Solutions, an IT consulting company. “The low-code/no-code environment provided well integrated solutions for many of the problems we have spent great time and effort to solve in the past, from data integration and data modeling to machine learning and application development. Developing and deploying this application in a week would have been impossible without C3 IDS.”

Mendix is another low-code AI player, and its Mendix Assist platform offers a host of benefits including hands-on mentoring for new developers through AI-assisted suggestions. The platform is designed to increase developer productivity using AI, while decreasing the time and cost associated with defects by intuitively preventing them. One of the key characteristics of the platform, and all low-code development solutions, is that it gets smarter over time by learning algorithms that expand its AI knowledgebase. It also incorporates insights from all applications built through the platform, and streamlines suggestions based on a company’s unique business process and development style.

AI is poised to transform the global economy, with a potential to contribute $15.7 trillion by 2030 according to consulting firm PwC. Given those far-reaching implications, the low-code system of development will likely play a major role in the development and deployment of AI technologies and solutions.

For additional information and education about how AI is transforming development and impacting the future workplace, TMC is hosting a Future of Work Expo in Fort Lauderdale, FL. The event, which will take place from February 12-14, 2020, will explore how AI and machine learning may be used to improve business communications, collaboration, sales and marketing and contact centers and customer service.




Edited by Maurice Nagle

Future of Work Contributor

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