All Research Sponsored By:Informatica
-
Yamaha Improves CX & Business Operations With Real-Time Data
Yamaha's "One Yamaha" initiative uses Informatica's Intelligent Data Management Cloud to unify data across business units, enabling real-time insights and improved operations. The platform sped up e-commerce, streamlined dealer services, and enhanced customer experiences while cutting IT costs. Read the white paper to see Yamaha's success.
-
Responsible AI for Dummies
AI adoption is growing, raising concerns about ethical compliance. This guide examines responsible AI principles like fairness, transparency, and privacy. Learn how data governance frameworks and tools like Informatica IDMC help implement AI ethically. Discover ten key actions for building trust through responsible AI.
-
ROI Guidebook - Informatica Cloud Data Integration Services
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.
-
Modern Data Architectures for Dummies
This guide explores modern data architectures, detailing three patterns: modern data stack, data fabric, and data mesh. Learn how these approaches break down silos, leverage AI for insights, and enable faster decisions. Discover how Informatica's Intelligent Data Management Cloud supports all three with its AI-powered CLAIRE engine.
-
Magic Quadrant for Data Integration Tools
Gartner evaluates 20 top vendors in data integration tools, naming AWS, Denodo, Google, IBM, Informatica, Microsoft, Oracle, Qlik, and SAP as Leaders. The report examines capabilities for operational analytics and AI infrastructure across integration styles. Read this report to choose the right data integration solution for your needs.
-
Magic Quadrant for Data and Analytics Governance Platforms
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.
-
Magic Quadrant for Augmented Data Quality Solutions
The 2025 Gartner Magic Quadrant for Augmented Data Quality Solutions evaluates 12 vendors offering AI-powered tools to enhance data quality via automation. With 70% of organizations expected to adopt these solutions by 2027 for AI support, these tools are vital for AI-ready data. Review the Magic Quadrant to find the best vendor for your needs.
-
Lead Your Data Revolution - Unlocking Potential with AI, DataOps and MLOps
Organizations struggle to become data-driven, with many CIOs not achieving cloud migration benefits. This white paper examines how DataOps, MLOps, and FinOps collaborate for structured data management, transforming data into strategic assets. Discover how unified cloud data management can unlock your organization's data potential.
-
IT Leaders’ Checklist - Data Requirements for Predictive AI and GenAI
This infographic offers IT leaders a checklist of data requirements for implementing predictive and generative AI technologies. Discover key data considerations to ensure AI initiatives deliver business value. Review the infographic to build a solid foundation for your organization's AI strategy.
-
Chart the Course for Responsible AI Governance
As AI regulations evolve, organizations need strong data governance for compliance. This white paper outlines AI legislation, governance challenges, and principles for responsible AI. Discover how cloud-based data management aids compliance and innovation. Read the white paper to guide your responsible AI governance.
-
How Companies Like Holiday Inn Club Vacations Enhance CX with AI-Powered Data Management
Learn how organizations like Holiday Inn Club Vacations and Discount Tire transformed customer experiences through AI-powered data management. Discover how they unified customer data, reduced duplicate records, and created 360-degree customer views to drive personalization, efficiency, and loyalty. Explore real-world AI-driven data strategies.
-
CDO and CIO Best Practices for Driving AI Readiness
Achieving AI readiness involves strong data management, governance policies, and strategic investments. Data leaders face challenges in quality, integration, and compliance with GenAI. This white paper offers expert insights on AI fluency, cultural shifts, and board expectations, providing practical strategies for responsible AI implementation.
-
5 Top Ways to Build a Business Case Supporting a Modern Data Architecture
Building a business case for modern data architecture involves quantifying benefits. This white paper explores five opportunities: improved developer efficiency, faster time to value, reduced platform administration, lower downtime costs, and enhanced flexibility. See how a common data platform drives quality and financial results.
-
AI-Ready Data: Modernize Data Architectures for GenAI Success
Successful GenAI implementation requires addressing critical data challenges: data quality (42%), privacy and protection (40%), AI ethics (38%), sufficient domain-specific training data (38%), and AI governance (38%). View this infographic to learn how modernizing your data architecture can help overcome these challenges for GenAI success.