New AI-Powered Platform Update Brings No-Code Pipelines and Agentic Intelligence to the Enterprise

A major upgrade to a leading data integration platform is aiming to reshape how enterprises adopt generative AI, offering a suite of new tools that enable no-code development, advanced data governance, and dynamic AI-powered search—all without relying on specialized engineering teams.

Among the standout additions is a feature called Agentic Retrieval, which enhances retrieval-augmented generation (RAG) by using large language models to intelligently search and compile information across multiple data sources. Unlike traditional methods that depend on centralized vector databases, this approach broadens context by drawing from a variety of data products, while enforcing security policies automatically. The result is improved accuracy and compliance during AI-driven interactions.

The platform also introduces a versatile agent interface that enables users to create and orchestrate data pipelines simply by using natural language commands. This feature generates the required code—such as Python or SQL—and automates tasks like data querying, transformation, and workflow orchestration. Users can toggle between no-code, point-and-click interfaces or pro-code modes, depending on their skill levels, allowing for greater collaboration across technical and non-technical teams.

Another upgrade, Converged Integration, simplifies the process of setting up complex workflows with prebuilt templates for common operations like extract/load/transform (ELT), direct data transfers, and modular RAG pipelines. This feature supports rapid deployment of enterprise data flows, enabling teams to launch and manage integrations without writing code.

To complement these enhancements, the platform now includes a Data Product Marketplace. This tool allows organizations to create, govern, and publish data as fully managed products. It centralizes control over who can access and use data, enforces policies at runtime, and streamlines the process of discovering and integrating trusted datasets.

The goal of these updates is to make enterprise-grade generative AI practical and scalable. By combining flexible interfaces, intelligent data orchestration, and secure access controls, the platform helps businesses unlock the full potential of AI without overhauling their existing teams or infrastructure.

As industry leaders look beyond the hype of 2024, this release underscores a broader trend: 2025 is shaping up to be the year when AI finally delivers real, measurable business outcomes.

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