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: Best practices for buy-side data management across structured and unstructured data

Data management is central to asset management, but it can also be a challenge as firms face increased volumes of data, data complexity and the need to consolidate structured and unstructured data to gain valuable insights, improve decision-making, step up customer acquisition and compliance, and ultimately, gain competitive advantage in a market characterised by tight...

BLOG

EU’s AI Act Seen Strengthening Data Foundations but not Without Challenges

The European Union’s Artificial Intelligence Act, which went into force this month, has presented financial institutions with huge opportunities but also some grave challenges, each of which can only be managed with a strong data foundation. Industry professionals have said that the Act’s provisions, though extensive, can bring clarity to a muddled regulatory view of...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...