Microsoft’s AI Builder adds AI and machine learning capabilities to Power Apps and Power Automate, while other firms are implementing AI within their low-code and no-code software development and robotic process automation services. AI features are also being added to Amazon SageMaker, DataRobot, Google Cloud AutoML, and Dataiku.
Here are seven low code products adopting AI:
1. Creatio Atlas
Creatio is incorporating a ChatGPT interface into its Creatio Atlas low-code platform and CRM solutions to improve predictive machine learning models. The connector, which uses the GPS-3.5-turbo model API, charges for use cases such as knowledgebase Q&A, content development, language translation, personal assistants, and email production.
2. Mendix AI-Assisted Development
Mendix Assist (AIAD) is a low-code application development platform featuring two virtual co-developer bots: MxAssist Logic Bot and MxAssist Performance Bot. Smart app capabilities are provided by the platform, which includes an AWS service connection and the Mendix ML Kit. The MxAssist Logic Bot walks users through the process of modelling and setting application logic while offering real-time, context-driven actions. While working in Mendix Studio Pro, the MxAssist Performance Bot inspects the app project model against Mendix development best practices to assist in enhancing app performance.
3. OutSystems AI Mentor System
OutSystems AI Mentor System is a collection of AI-powered solutions meant to aid teams across the software development lifecycle. It contains mentors in code, architecture, security, performance, and reliability who help with coding and handle architectural, security, performance, and maintainability concerns. OutSystems also has an Azure ChatGPT connection in their Forge repository, which enables code completions, conversation completions, and machine learning model embeddings. Azure ChatGPT is recommended for personalized suggestions, virtual assistant power, and summarizing and comparing documents such as insurance policies, legal papers, and financial documents.
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4. Pega AI and GenAI
Pega AI and Pega GenAI are part of the Pega low-code platform. Pega AI enables “decisioning” through event monitoring, mining of processes, speech-to-text conversion, and natural language processing. It uses decision techniques, machine learning, and adaptive analytics to help you assess facts and actions, forecast consequences, and make decisions in real-time. Pega GenAI develops procedures, phases, and measures. maps integrations to back-end systems, produces test data on the fly and provides conversational guidance to developers.
5. UiPath AI Center
Machine learning has been integrated into the advanced processes of UiPath, a major RPA software. It now has an AI Centre where you can train, evaluate, deploy, and retrain machine learning models for use with RPA. Importing models and employing pre-trained models for image analysis, language analysis, understanding, translation, and tabular data is supported by the AI Centre.
6. Appian Platform
The Appian Platform provides a low-code design experience for process automation, with Appian 23.2 featuring three AI skills: document classification, document extraction, and email classification. The Document Classification AI Skill provides for document classification and routing, whilst the Email Classification AI Skill allows for bespoke machine learning models that classify emails based on business labels. The Document Extraction AI Skill pulls relevant content from structured documents for convenient application use. Appian 23.3 will integrate Appian AI Copilot, a generative AI conversation interface for form design and process modelling.
7. Airtable AI (beta)
Airtable has enhanced its offering, which was previously released alongside OpenAI’s generative foundation models. The AI can be integrated with roadmap apps, marketing apps, and hiring funnel apps to generate product specifications, creative briefs, and job descriptions for available positions.
Conclusion
As we’ve witnessed, most low-code and no-code development and RPA systems now offer AI capabilities, which are frequently based on a version of GPT. More will undoubtedly follow. Microsoft Power Platform is a market leader in this space, thanks in part to its tight partnership with OpenAI and the current AI and machine learning capabilities on Microsoft Azure.
