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:
· Breaking down data silos
· Leveraging AI for knowledge graphs
· Democratizing data access
· Accelerating decision making
· Providing architectural flexibility
Learn how Informatica's IDMC supports these architectures in this white paper.
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This e-book explores the evolving role of finance leaders in today's data-driven business landscape. It covers key responsibilities such as providing trusted data insights, predicting risks, understanding performance metrics, ensuring compliance, driving innovation, and fostering automation. The book emphasizes developing a culture of analytics, leveraging AI, and implementing robust data governance.
Key challenges include:
• Developing data skills
• Implementing unified analytics
• Managing data volumes
• Building trust in dataThe e-book offers guidance on overcoming these challenges and becoming a modern finance leader. Transform your finance organization and drive strategic value through analytics.
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Navigating data management for compliant AI in a changing world
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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:
• Streamline governance and compliance
• Empower users with AI tools
• Enhance data quality and reduce costs
• Automate workflows for efficiencyRead this white paper to learn about responsible AI governance.
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