Based on a survey of 3,466 senior leaders of global enterprises, this report unpacks the stats to give you an up-to-the-minute snapshot of how gen AI and agentic AI are helping organizations deliver highly engaging, personalized, and human-like customer experiences at scale.
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Nonprofits are the unsung heroes of communities around the world—and they deserve access to technology that helps them make the most impact. This research paper will be invaluable for nonprofit leaders looking for tech strategies with the most potential to help them advance their missions with limited resources. Learn best practices of AI “Pacesetters” already […]
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New technology brings new opportunities. It also brings hype,”fear of missing out,” and disappointment. AI is proving to be no exception to this rule. So the questions that many of us are currently considering include “What is AI really?”, “Can it help us succeed?” and “Are we missing out?” Download this guide from author and […]
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Agentic AI marks a major evolution in enterprise artificial intelligence, shifting from passive analysis to autonomous systems that can reason, act, and adapt in real time. By 2026, AI agents are becoming embedded in core business operations, driving decisions, automating workflows, and coordinating actions across complex environments. This shift places new demands on data foundations, […]
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As enterprises accelerate AI and analytics initiatives, modern data architectures are becoming the backbone of trusted insights and business agility. Yet data fragmentation across lakehouses, warehouses, and operational systems continues to limit speed, scale, and return on investment. This infographic distills how organizations can multiply the value of their data lakehouse investments. It connects architecture […]
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This whitepaper explores how Denodo enables an enterprise data fabric: a metadata-driven platform that federates data without requiring replication, enabling seamless integration in hybrid and multi-cloud ecosystems. We also discuss how data fabric is an ideal architectural framework for enterprise AI. Drawing on the latest advancements in the Denodo Platform, we delve into the technical […]
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Organizations have invested heavily in data lakehouses such as Snowflake and Databricks to unify data storage and compute. But when it comes to delivering trusted, AI-ready and business-ready data, they fall short. They lack the critical “last mile” of business context, governance, and ability to deliver the right data in real time. Denodo fills this […]
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This 52-page report, geared towards a better understanding of the impact of artificial intelligence (AI) on modern data architecture, is based on a survey of 259 data professionals. It covers six dimensions that extend beyond specific technology implementations, to provide a well-rounded picture of data architecture focus, investment, and requirements:• Research focus • Business value• […]
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As organizations strive to make data more accessible across the enterprise, the promise of self-service analytics continues to gain traction. Yet, many teams still face significant roadblocks when it comes to making consistent, trustworthy data-driven decisions. Without a shared framework for interpreting data, teams often end up defining the same metrics in different ways, creating […]
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Comment fournir (facilement) la bonne base pour des données prêtes pour l’IA L’IA générative révolutionne le monde. En même temps, les organisations découvrent une vérité difficile : les applications d’intelligence artificielle générative (GenAI) spécifiques aux entreprises ne sont fiables que dans la mesure où les données qui les alimentent le sont. Des données erronées ou […]
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GenAI is taking the world by storm. At the same time, organizations are learning the hard truth: Business-specific generative AI (GenAI) applications are only as reliable as the data that feeds them. Bad or missing data results in hallucinations, whereas trusted, complete data results in accurate, reliable responses. This ebook covers what you need to […]
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