I recently shared how several breakthrough low-code platforms are innovating their developer and end-user experiences with gen AI. I reported the strategies, platform experiences, and technical capabilities from Quickbase, Appian, Pega, and SAP that they shared at their Q2 conferences.
The SaaS, low-code, and no-code space continue to innovate with gen AI capabilities. AI capabilities will be a major differentiator when selecting platforms and choosing which to develop new applications. Below is a roundup of gen AI innovations from five low-code / no-code solutions.
Use no-code for domain-specific LLMs
Gen AI tools like ChatGPT and Perplexity are generic large language models
(LLMs), while the major cloud providers support retrieval augmented
generation (RAG) capabilities to incorporate enterprise data in private
LLMs. An emerging set of no-code tools enables organizations in
information-rich industries like medical and legal to develop and optimize
LLMs for these domains.
“One valuable use case for no-code tools embedding generative AI capabilities is to leverage an LLM to bootstrap small, task-specific models. Domain experts, like medical doctors or lawyers, can define the task to achieve, provide prompts to solve it, see how they perform on real documents, and provide feedback that improves accuracy. That feedback is used to train downstream AI models. Not only is this more cost-effective to run at scale, but it improves accuracy and supports the human-in-the-loop needs of high compliance industries, like healthcare and law.” – David Talby, CTO of John Snow Labs.
Build integrations with natural language
Integrations used to be a difficult moat for development teams to bridge.
Then came APIs, no-code integration platforms, and integration platforms as
a service (iPaaS) to simplify and accelerate development. Now, some of these
platforms are adding the capabilities to develop integrations using natural
language and other gen AI capabilities.
“The Tray Universal Automation Cloud is a composable AI integration platform that IT departments, business technologists, and fusion teams can use to quickly and safely build integrations, automate workflows, and infuse AI into business processes. It offers the flexibility to prototype, deploy, and adapt as new AI technologies emerge and business needs change. The platform’s Merlin Intelligence layer powers all AI capabilities, such as Merlin Guardian, which masks sensitive data so CIOs can harness the power of AI integration without compromising data safety, and the Merlin AI Palette makes adding AI to any process simple and straightforward so IT can quickly prototype AI solutions, connect with the latest LLMs, and securely handle data.” – Rich Waldron, cofounder and CEO of Tray.ai.
Simplify the low-code and no-code developer experience
Low-code and no-code platforms strive to simplify the development experience
by using visual paradigms, drag-and-drop interfaces, and other tools to
simplify building applications. Gen AI now adds new ways for app builders –
both technologists and citizen developers – to interact with low-code and
no-code platforms when developing and enhancing applications.
“Kissflow is a platform that has both no-code & low-code capabilities.
Our no-code capabilities allow process owners to automate internal business
processes on a self-service basis and require no programming knowledge. On
the other hand, Kissflow’s low-code capabilities allow internal IT teams to
build full-fledged business applications. The platform enables enterprises
to automate all their middle office processes, leading to digital
transformation. We believe gen AI will reduce the semantic gap between the
user and system. AI is enabled across our platform in many ways, such as
AI-suggested fields, workflows, integrations, and smart attachments. This
will reduce the time and effort required for citizen and professional
developers to build apps.” – Dinesh Varadharajan, chief product officer of
Kissflow.
Accelerate time-to-deliver innovations
Many organizations use low-code and no-code platforms to automate workflows,
create analytical dashboards, and simplify integrations. Innovative
organizations also use these platforms to improve employee experiences,
prototype new capabilities, and deploy robust mission-critical applications.
The key to success is focusing on end-user adoption, and gen AI is helping
low-code and no-code developers shift their focus from technical tasks to
customer experiences.
“Generative AI is transforming SaaS, low-code, and no-code platforms by
accelerating customer adoption, development, deployment, and iteration. Gen
AI-powered natural language interfaces simplify complex systems, speeding up
user engagement and SaaS growth. It automates coding tasks, allowing
developers to focus on creativity significantly reducing development time.
Gen AI also optimizes configurations, ensuring seamless deployment with
minimal downtime and enabling businesses to respond quickly to market
demands. Furthermore, gen AI enhances agility by facilitating rapid
prototyping and iteration, helping teams innovate faster and stay
competitive in today’s fast-paced environment.” – Rajan Nagina, head of AI
practice at
Newgen Software.
Scale app development across the enterprise
Large enterprises may have large devops teams, but their demand for app
modernization and workflow automations almost always surpasses their
development capacity. Low-code and no-code platforms have helped
organizations expand dev capabilities, and now gen AI provides new
opportunities to expand dev capabilities to more departments and employees.
“ServiceNow’s Creator Workflows on the Now Platform are redefining how
workflows are developed using low-code, no-code, and AI technologies. Key
innovations like AI-enabled Now Assist and the recently launched Creator
Studio equip every employee, regardless of technical skills, from IT
professionals at Fortune 500 organizations to operations managers in
manufacturing. Integrated within the Now Platform, these tools simplify the
entire app development process and accelerate the deployment of enterprise
solutions – all on the same platform as highcode developers. This
democratization of “creation” boosts productivity and governance across
organizations, paving the way for smarter and faster operations.” – Jithin
Bhasker, general manager and vice president for the App Engine business at
ServiceNow.
What’s next in gen AI for low-code and no-code
Much of the first wave of low-code and no-code gen AI capabilities focused
on developing applications using natural language and providing prompt
capabilities to end-users. I expect this to continue while top platforms
will consider deploying gen AI capabilities to new end-user personas.
I have a list of these capabilities.
Contact me if you are interested in what features to look for and what capabilities
low-code / no-code platforms should add to their roadmaps.
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