In the Media

L’ultima versione della piattaforma sfrutta la gestione logica dei dati per potenziare un’AI già affidabile con un’intelligenza ancora più avanzata, offrendo ai team che si occupano di dati, AI e business prestazioni migliori, una governance dei dati più solida e un accesso più intuitivo.

L’Agentic AI viene spesso raccontata esaltando le sue capacità di pianificazione, apprendimento e autonomia. Tuttavia, queste caratteristiche, per quanto importanti, non definiscono la sua capacità di agire e risultare efficace in un contesto che cambia di continuo.

أعلنت شركة Denodo، المتخصصة في إدارة البيانات وتمكين تطبيقات ووكلاء الذكاء الاصطناعي الموثوقة، انضمامها إلى مبادرة Open Semantic Interchange (OSI)، وهي مبادرة مفتوحة المصدر تهدف إلى تطوير معيار موحد لتبادل المعاني الدلالية للبيانات عبر مختلف منصات البيانات والذكاء الاصطناعي، بما يسهم في تعزيز قابلية التشغيل البيني بين الأنظمة والتقنيات المختلفة.

Denodo, a global leader in data management powering trustworthy AI agents and applications, has announced that it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification.

Denodo joins Snowflake and industry leaders to advance data and AI interoperability through the Open Semantic Interchange.

Denodo today announced that it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification.

Denodo, a global leader in data management, powering trustworthy AI agents and applications, announced that it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification.

Artificial intelligence is moving from analysis to action. The newest class of systems—agentic AI—does not merely suggest next steps; it can take those steps, adjust to feedback, and coordinate across tools without waiting for a human to click a button. For business leaders, the opportunity is not framed as humans versus machines, but as two complementary workforces learning to share the same sandbox. The organizations that pull ahead will be the ones that intentionally design how people and AI agents collaborate, grounded in a common view of data and a clear division of responsibilities.

Denodo, a global leader in data management, powering trustworthy AI agents and applications, announced that it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification.

Enterprise investment in AI continues to accelerate. Yet as spending grows, executives are increasingly asking the fundamental question: How should enterprises actually measure AI success for ROI? While many organizations initially focused on model performance, accuracy benchmarks, or proof-of-concept deployments, these technical metrics rarely capture what business leaders ultimately care about: measured business results.