The essentials of data management for responsible AI outcomes
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Navigate data challenges with modern data architecture strategies
By: Informatica
Type: White Paper
Modern data architectures are transforming how organizations leverage their cloud-based and on-premises data. This white paper explores three emerging patterns: the modern data stack (MDS), data fabric, and data mesh.
The MDS offers scalable frameworks for processing data from diverse sources. Data fabric uses AI to connect disparate data sources through active metadata. Data mesh supports decentralized, domain-oriented data ownership.
Key benefits include:
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Learn how Informatica's IDMC supports these architectures in this white paper.
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As AI adoption accelerates, responsible governance and compliance become crucial. This white paper explores AI legislation, including the EU AI Act, U.S. Executive Order, and Singapore's framework.
Organizations face challenges in AI governance, such as data integration, quality, bias mitigation, and privacy protection. The paper outlines principles of responsible AI—transparency, fairness, accountability, and security—and shows how Informatica's Intelligent Data Management Cloud can help:
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Informatica Cloud Data Integration customers achieved 335% ROI with a 5.3-month payback, realizing benefits like 67% faster data processing, 30% improved developer productivity, and streamlined integration. Organizations noted enhanced data quality crucial for AI. Read the white paper to see how cloud data integration can transform management.
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Many existing enterprise integration technologies are rigid, expensive to maintain, and too slow to respond to the requirements of your business. This white paper details Informatica’s Cloud Application Integration service, which offers a single, trusted solution to support any integration pattern, data set, or endpoint. Access it here.
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Key vendors in Gartner's data and analytics governance report
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This Magic Quadrant evaluates data and analytics governance platforms for automating policy setting and enforcement. Leaders include IBM, Informatica, and Collibra, while Visionaries like Alation and dataworld show innovation. Key trends are convergence, consumerization, AI governance, and stewardship. Read this report to find the right platform.
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