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, […]
Read →
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 […]
Read →
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 […]
Read →
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 […]
Read →
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• Future […]
Read →
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 […]
Read →
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 […]
Read →
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 […]
Read →
La valorisation des données accélère la prise de décision et l’innovation en rendant les données accessibles à tous, favorisant ainsi une culture d’entreprise agile et innovante. Cette stratégie permet d’optimiser les opérations, réduire l’utilisation des ressources et améliorer l’efficacité. Elle permet de renforcer la transparence et la responsabilité organisationnelle. De plus, elle soutient les approches […]
Read →
L’introduction de l’IA générative a transformé le paysage de l’intelligence artificielle. Les cas d’utilisation de l’IA générative dépassent désormais les simples agents conversationnels et les systèmes d’intégration des employés pour évoluer vers des implémentations nécessitant des données d’entreprise plsu sensibles, sur les clients ou les produits. Par exemple, un agent pourrait être amélioré en intégrant […]
Read →