About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Informatica Plans Second Half Release of CLAIRE GPT

Subscribe to our newsletter

Informatica, a provider of cloud data management solutions, is planning a second half 2023 release of CLAIRE GPT, a generative AI-powered data management platform that will become part of its Intelligent Data Management Cloud (IDMC).

The company describes CLAIRE GPT, which is based on its enterprise-scale AI engine, as the next generation of the IDMC platform, and says it will add a natural language-based interface to IDMC, simplifying and accelerating how enterprises consume, process, manage, and analyse data. It is also expected to allow enterprises to optimise data management and drive greater productivity, foster deeper data democratisation and self-service, and integrate in-context data experience at the point of consumption. CLAIRE GPT will be available as a native IDMC service in the second half of this year.

“We are expanding our end-to-end IDMC platform with transformative new capabilities to enable our customers to drive automation, comply with critical regulations, and move to the cloud quicker, all while enabling higher levels of security,” says Amit Walia, CEO at Informatica. “With CLAIRE GPT, we anticipate experienced data users, such as engineers, analysts, and scientists, will realise up to an 80 percent reduction in time spent on key data management tasks.”

In conjunction with CLAIRE GPT, Informatica will extend its CLAIRE copilot capabilities to automate more data management tasks and processes, and provide greater observability across data. Previously, with CLAIRE’s support, users could automate functions such as data governance, data quality, generation of data pipelines, master data management, the discovery of redundant datasets, and customer data organisation. New AI copilot capabilities extend this functionality to include generated classifications with no manual inputs, inferred data lineage, multi-column completeness analysis, and automapping.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Data Should be Regarded as a Strategic Asset: Webinar Preview

The growing acceptance of data as an enterprise-wide necessity is gaining ground, especially within capital markets, where rapid changes in the global economy and increasing pressure on bottom lines is prompting a rethink of business models. The need for greater data and product delivery speeds, the demand for more efficient workflows to reduce costs and...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...