{"id":23910,"date":"2024-09-11T14:15:29","date_gmt":"2024-09-11T14:15:29","guid":{"rendered":"https:\/\/advance.fredericoavo.com\/?p=23910"},"modified":"2025-05-21T10:24:50","modified_gmt":"2025-05-21T10:24:50","slug":"empowering-software-development-with-ai","status":"publish","type":"post","link":"https:\/\/advanceworks.ai\/nl\/empowering-software-development-with-ai\/","title":{"rendered":"Empowering Software Development with AI"},"content":{"rendered":"\t\t
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An Overview of OutSystems' AI Components and Connectors<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As reported by Aberdeen and IBM, organizations incorporating AI components in their application development are 33% more likely to enhance customer satisfaction, 3x more likely to attract new customers, and 2.5x more likely to retain existing customers.<\/p>

Understanding AI in Software Development<\/strong><\/p>

At its essence, artificial intelligence replicates human intelligence processes through algorithms and data. Whether automating manual tasks or mimicking cognitive functions, AI in software development becomes a potent tool.<\/p>

AI software development automates tedious aspects of application building, such as code duplication, manual testing, UI element creation, and layout updates. It also tackles complex problem-solving, data analysis, and intelligent decision-making, leveraging the computational capabilities of machines.<\/p>

The integration of AI tools into software development introduces a host of technical advantages, significantly enhancing the development process and user experience. Here is a breakdown of these benefits:<\/p>

Accelerated Time-to-Market<\/strong>: AI-driven automation expedites repetitive tasks, streamlining testing and deployment, resulting in quicker product releases and a competitive edge.<\/p>

Task Automation<\/strong>: AI automates code generation, testing, and deployment, allowing developers to focus on solving complex problems with innovative applications rather than mundane tasks.<\/p>

Enhanced User Experience<\/strong>: AI-driven personalization analyzes user behavior and preferences, delivering tailored user experiences that boost engagement and retention.<\/p>

Predictive Modeling<\/strong>: AI’s technical prowess lies in predictive modeling, making data-driven predictions, identifying potential application issues, and anticipating user behavior and market trends using advanced algorithms and machine learning.<\/p>

AI in OutSystems<\/strong><\/p>

Since 2018, OutSystems has integrated artificial intelligence across its platform and the software development lifecycle. The emergence of ChatGPT has revolutionized development practices, enabling the generation of functional code through prompts, challenging established norms. But what does this really mean for software development?<\/p>

The OutSystems Forge now offers new components facilitating the incorporation of advanced AI and machine learning functionalities into low-code applications. These user-friendly components utilize familiar drag-and-drop patterns, ensuring that creating applications with the power of low-code and AI becomes faster and more accessible.<\/p>

This technical article is designed to provide an overview of the most popular AI software and foundational components currently available in the OutSystems Forge.<\/p>

Azure Open AI connector<\/strong><\/p>

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Azure OpenAI Service provides REST API access to OpenAI’s powerful language models including the GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, and Embeddings model series. These models can be easily adapted to content generation, summarization, image understanding, semantic search, and natural language to code translation.<\/p>

This connector seamlessly links you to the advanced AI capabilities of Azure OpenAI while prioritizing security and compliance. With Azure OpenAI, your data remains in your control, as OutSystems does not use customer data for model retraining. The connector enables three crucial operations:<\/p>