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Informatica Reveals Summer 2025 Updates to IDMC Platform
Informatica Reveals Summer 2025 Updates to IDMC Platform

TECHx

time3 days ago

  • Business
  • TECHx

Informatica Reveals Summer 2025 Updates to IDMC Platform

Home » Emerging technologies » Artificial Intelligence » Informatica Reveals Summer 2025 Updates to IDMC Platform Informatica has announced the Summer 2025 release of its Intelligent Data Management Cloud (IDMC) platform. The update brings a range of AI-powered data management features aimed at enhancing enterprise access to AI-ready data. The company revealed that the latest release strengthens capabilities across data integration, governance, data quality, master data management, and iPaaS. According to Kelle Fontenot, Chief Digital Officer at KPMG, trusted data is essential for successful digital transformation and AI outcomes. She emphasized the importance of reliable data in delivering accurate results, whether in reporting or using generative AI models. The release includes significant upgrades to the Master Data Management (MDM) suite. These enhancements feature advanced enrichment and governance tools. CLAIRE Match Analysis and Explainability provide improved transparency in record matching. Business users can now adjust rules without IT help. Supervised learning is also included to boost accuracy over time. Additionally, an Enrichment and Validation Orchestrator automates workflows by linking Informatica services and third-party sources. A new Cloud Data Governance and Catalog scanner now integrates with MDM to reduce data silos and enhance auditability. For data integration, Informatica introduced Elastic Runtime Orchestration, now in tech preview. This allows high-volume workflows to run on AWS without managing infrastructure. The CLAIRE Copilot for data integration is now generally available and includes interactive Q&A features. Connectivity has also been broadened. The platform now supports Delta tables in Microsoft Fabric, open table formats like Apache Iceberg, and log-based change data capture (CDC) for SAP HANA. Informatica's iPaaS platform has also been enhanced. New features include support for Model Context Protocol servers, enabling AI agents and large language models to better access IDMC assets. New connectors have been added for NVIDIA NIM, Databricks Mosaic AI, and Snowflake Cortex AI. Users can now access a Recipe Marketplace to share reusable workflow templates for both AI and business automation. Governance capabilities have also been expanded. Informatica has launched an AI Governance Inventory within IDMC to track AI models, datasets, and approvals. The release also includes real-time data quality checks through REST APIs and AI-powered lineage discovery to support faster deployment. Krish Vitaldevara, Chief Product Officer at Informatica, stated that the new release delivers what customers need to scale their AI efforts: trusted data, simplified governance, and seamless integration. Key updates in the Summer 2025 release include:• Enhanced MDM with supervised learning and match transparency• Elastic orchestration and broader connectivity for cloud workflows • New AI governance tools and real-time quality APIs The company reaffirmed its goal of helping organizations accelerate their AI initiatives with a trusted data foundation through the latest innovations in Informatica IDMC.

Informatica Releases Latest Intelligent Data Management Cloud Platform
Informatica Releases Latest Intelligent Data Management Cloud Platform

Channel Post MEA

time3 days ago

  • Business
  • Channel Post MEA

Informatica Releases Latest Intelligent Data Management Cloud Platform

Informatica has announced the Summer 2025 release of its Intelligent Data Management Cloud (IDMC) platform. The new AI-powered data management capabilities are designed to simplify and enhance enterprise-wide access to AI-ready data. The release introduces new features across data integration, governance, quality, master data management and iPaaS. According to Kelle Fontenot, Chief Digital Officer at KPMG, 'AI and digital transformation are imperative to business growth, but these efforts are only as strong as the data behind them. Whether it's building a report or utilizing the most advanced Generative AI model, access to trusted data is critical to ensure accurate and reliable outcomes.' Among the highlights is an upgraded Master Data Management (MDM) suite, which now offers advanced enrichment and governance features. New tools such as CLAIRE Match Analysis and Explainability provide greater transparency into how records are matched, allow business users to fine-tune rules without IT intervention, and incorporate supervised learning to improve accuracy over time. An Enrichment and Validation Orchestrator automates workflows by connecting Informatica services and third-party sources, while a new Cloud Data Governance and Catalog scanner integrates seamlessly with MDM to improve auditability and reduce data silos. For enhanced data integration, Informatica has introduced Elastic Runtime Orchestration in tech preview, enabling customers to run high-volume workflows on AWS without managing infrastructure, and expanded its CLAIRE Copilot for data integration, now generally available with interactive Q&A functionality. The platform has also broadened its connectivity to include Delta tables in Microsoft Fabric, open table formats like Apache Iceberg, and log-based CDC for SAP HANA. Also announced were enhancements to the company's iPaaS offering, which include support for Model Context Protocol servers to help AI agents and large language models access IDMC assets more effectively, alongside new connectors for NVIDIA NIM, Databricks Mosaic AI and Snowflake Cortex AI. A new Recipe Marketplace enables users to share reusable workflow templates spanning both AI and business automation use cases. To strengthen governance, Informatica has launched an AI Governance Inventory within IDMC to catalog and track AI models, datasets and approvals, alongside real-time data quality checks via REST APIs and AI-powered lineage discovery to accelerate deployment and modernization efforts. Krish Vitaldevara, Chief Product Officer at Informatica, said, 'Our customers are crystal clear about what they need to scale their AI ambitions — trusted data, simplified governance and seamless integration across platforms. With the Summer 2025 release of IDMC, we're delivering exactly that. From enhanced master data management and real-time data quality APIs, to elastic orchestration and expanded GenAI integrations, these innovations are built directly in response to what our clients have been asking for. We're proud to give organizations the trusted data foundation they need to move faster and build confidently with AI.'

Informatica to Report Second Quarter 2025 Financial Results on August 6, 2025
Informatica to Report Second Quarter 2025 Financial Results on August 6, 2025

Business Wire

time16-07-2025

  • Business
  • Business Wire

Informatica to Report Second Quarter 2025 Financial Results on August 6, 2025

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an AI-powered enterprise cloud data management leader, today announced it will report financial results for the second quarter 2025, which ended June 30, 2025, following the close of the U.S. markets on Wednesday, August 6, 2025. In light of the pending transaction with Salesforce, Informatica will not host an earnings conference call to review the results or provide a financial outlook. About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE ® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools—giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™

Why Salesforce Is Paying $8 Billion for 'the Plumbing of AI'
Why Salesforce Is Paying $8 Billion for 'the Plumbing of AI'

Yahoo

time03-06-2025

  • Business
  • Yahoo

Why Salesforce Is Paying $8 Billion for 'the Plumbing of AI'

Salesforce (NYSE:CRM) announced Tuesday that it will acquire Informatica (NYSE:INFA) in a cash deal valued at approximately $8 billion. The acquisition underscores Salesforce's intent to bolster its artificial intelligence capabilities by integrating a core player in enterprise data management. Under the terms of the deal, holders of Informatica's Class A and Class B-1 common stock will receive $25 per share — an 11% premium over the company's closing price of $22.55 on Friday, TechCrunch reported. Don't Miss: Hasbro, MGM, and Skechers trust this AI marketing firm — Invest where it hurts — and help millions heal:. Informatica CEO Amit Walia framed the acquisition as a shared effort to bring data and AI to life, describing Informatica in a statement as the plumbing for AI and data. Informatica's Intelligent Data Management Cloud platform helps enterprises connect, manage, and unify complex data systems across multi-cloud and hybrid environments. "Joining forces with Salesforce represents a significant leap forward in our journey," Walia said in a statement on Tuesday. "We have a shared vision for how we can help organizations harness the full value of their data in the AI era." Steve Fisher, Salesforce's chief technology officer, said that the truly autonomous, trustworthy AI agents need the most comprehensive understanding of their data, adding that Informatica's metadata and catalog tools will complement Salesforce's agentic AI platform, Agentforce. Trending: The acquisition builds on Salesforce's previous investments in data and AI. It follows the company's multibillion-dollar acquisitions of Slack at $27.7 billion in 2021, Tableau at $15.7 billion in 2019, and MuleSoft at $6.5 billion in 2018. According to Salesforce CEO Marc Benioff, Informatica will be integrated alongside Data Cloud, Tableau, and MuleSoft to enable autonomous agents to deliver smarter, safer, and more scalable outcomes for every company. Salesforce's operating and financial chief Robin Washington said the company will move quickly to leverage Informatica's capabilities across public sector, life sciences, healthcare, and financial services verticals, where governed, trustworthy data is critical. The deal is expected to close in early fiscal 2027, pending regulatory approvals and other customary closing was taken private in 2015 through a $5.3 billion deal led by private-equity firm Permira and the Canada Pension Plan Investment Board. Informatica says it serves more than 5,000 customers across nearly 100 countries, including over 80 of the Fortune 100, according to its acquisition announcement. The transaction will be financed through a combination of Salesforce's cash and new debt, the company said in the announcement. Read Next: How do billionaires pay less in income tax than you?. Image: Shutterstock Up Next: Transform your trading with Benzinga Edge's one-of-a-kind market trade ideas and tools. Click now to access unique insights that can set you ahead in today's competitive market. Get the latest stock analysis from Benzinga? SALESFORCE (CRM): Free Stock Analysis Report INFORMATICA (INFA): Free Stock Analysis Report This article Why Salesforce Is Paying $8 Billion for 'the Plumbing of AI' originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved.

Exclusive: Informatica launches AI agents to transform data management
Exclusive: Informatica launches AI agents to transform data management

Techday NZ

time22-05-2025

  • Business
  • Techday NZ

Exclusive: Informatica launches AI agents to transform data management

Informatica has launched a bold new chapter in enterprise data management, introducing autonomous AI Agent Engineering that promises to redefine how businesses build, connect and manage intelligent AI workflows. Announced during this year's Informatica World event, the centrepiece of the launch is CLAIRE Agents – a suite of autonomous digital assistants designed to automate and optimise the full spectrum of data management tasks goals. Accompanying this is AI Agent Engineering, a new service within Informatica's Intelligent Data Management Cloud platform, that empowers organisations to build, connect and manage intelligent multi-agent AI systems and compose business applications quickly, securely and at scale. CLAIRE Agents represent what Informatica describes as "the next evolution in autonomous data management." Unlike traditional automation tools that perform static, rule-based tasks, these agents can reason and make decisions dynamically, based on enterprise-wide data. Gaurav Pathak, Vice President of Product Management, AI and Metadata used the metaphor of autonomous driving to explain the shift, during a recent interview with TechDay. "Traditional automation is like cruise control – it keeps things going at a steady pace. Agents, on the other hand, are like a self-driving car," he said. "They plan, adapt to changing conditions and navigate complex environments based on goals, not just tasks." CLAIRE Agents include specialised assistants such as the Data Quality Agent, Data Lineage Agent and ELT Agent, which are capable of monitoring, remediating and optimising data across complex hybrid ecosystems. These features are powered by Informatica's Intelligent Data Management Cloud's metadata system of intelligence, a context-rich engine that combines human-curated and AI-generated metadata to ground the agents in the specific needs of each organisation. "Without metadata, agents are flying blind," Pathak explained. "It's the map of the world for our AI – it grounds them in the unique semantics and structures of an organisation's data landscape." The company also unveiled AI Agent Engineering, a platform designed to let customers build and connect their own agents across cloud and on-premises environments. This service aims to address growing enterprise demand to create domain-specific AI tools that can work collaboratively and access trusted data across systems. Sumeet Kumar Agrawal, VP of Product Management, who leads the new service, added that many customers are now looking to evolve from static business processes to agentic solutions that adapt and scale. "We're seeing a proliferation of agents – every app vendor has their own agents, for example, Salesforce has its own, SAP has its own, etc. – but what's missing is the connective tissue," he explained. "AI Agent Engineering provides the framework to build, connect and manage these agents holistically, so they can solve real end-to-end business problems." Agrawal added that data is the backbone of this vision. "The reasoning of any agent is only as good as the data it has access to. We provide a clean, trusted data foundation so agents can act with confidence," he said. Both executives stressed the importance of no-code interfaces in democratising AI adoption across technical and non-technical teams. "Writing code is just 20% of the job – maintaining it, securing it and ensuring performance is the real challenge," said Pathak. "No-code makes AI explainable and manageable for everyone." CLAIRE Copilot, which enables users to generate complex data pipelines using natural language, is now generally available. First launched in preview earlier this year, it acts as a pair programmer for data engineers and complements the agentic approach by giving users interactive control over tasks while agents handle broader goals autonomously. Informatica's latest strategy also includes broad ecosystem integration, with support for leading cloud and AI platforms including AWS, Azure, Google Cloud, Snowflake and Databricks. This flexibility, the company says, ensures enterprises can use their preferred AI models while maintaining control over data security and compliance. Security remains a key concern for enterprises experimenting with generative AI. Informatica says its metadata system enforces access controls and data governance rules at every step. "Agents only access data a user is permitted to see, and we've put strict guardrails in place – for example, they can't issue delete commands," said Pathak. Agrawal added: "Every agent deployment comes with built-in security policies – rate limiting, IP restrictions, authentication protocols – everything an enterprise needs to operate safely." The announcement has already drawn attention from key Informatica clients. Desigan Reddi, VP IT and Operations at Wescom Financial, described the agent engineering service as "a game-changer". "It enables us to build and orchestrate intelligent workflows securely and at scale – without the need for complex coding," he said. "This no-code, metadata-aware approach aligns perfectly with our vision of making advanced AI accessible and actionable." As to what the future holds, Informatica's vision is for CLAIRE to become the "front end of data" across the enterprise. "We want users to simply tell CLAIRE what they want – a report, a pipeline, a governance task – and have the agents take care of the rest," said Pathak. Asked whether there's such a thing as too many AI agents, Pathak said, "It's not the number that matters – it's whether they're connected and working together to solve the problem."

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