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Home Technology

Informatica unveiled innovations to democratise GenAI

FutureCIO Editors by FutureCIO Editors
May 27, 2024
Photo by Michelangelo Buonarroti from Pexels: https://www.pexels.com/photo/a-woman-holding-a-digital-tablet-8728285/

Photo by Michelangelo Buonarroti from Pexels: https://www.pexels.com/photo/a-woman-holding-a-digital-tablet-8728285/

Informatica unveiled new product innovations designed to democratise generative AI (GenAI) through embedding GenAI into data management with CLAIRE GPT and empowering users to develop and deploy GenAI applications built on trusted data foundations. 

 Amit Walia

“We anticipated the market direction more than four years before this current AI hype cycle with our CLAIRE solution, the backbone of our AI platform and products,” said Amit Walia, CEO at Informatica. “With the infusion of GenAI into the very fabric of our cloud-only offerings, we’ve elevated the industry standard and leveraged the simplicity and intuitiveness of the technology to deliver actionable insights within seconds to our customers.”

CLAIRE GPT 

The innovation claims to provide search capabilities with natural language, automation, self-service exploration of data estates, and data security and privacy.

Enhanced CLAIRE GPT capabilities include a multistep to simplify data management operations, self-service data analysis for non-technical business users, and a copilot to support natural language capabilities.

It claims to be the first GenAI-powered data management assistant grounded by enterprise metadata intelligence leveraging core IDMC capabilities.

Low-code/no-code interface

Through IDMC’s built-in data management capabilities, users can create GenAI applications with low/no code or augment GenAI features into existing tools.

It claims to democratise GenAI by enabling users to create GenAI applications without coding or programming knowledge. It also claims to contextualise tools with trusted data and built-in security and governance. 

It also does not rely on a single LLM and can navigate any model. Finally, it claims to leverage customisable templates, pre-built recipes, and drag-and-drop interfaces for prototyping, testing, and deploying new or existing applications.

Related:  Mangomolo expands its AI and ML capabilities to drive audience engagement and retention
Tags: Artificial IntelligenceInformaticaLLMlow code no code software development
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