news & insights
back to all news
The AI & Data Glossary: 35 concepts to help you structure your data and AI decisions in 2026–2027
Author
Marion Pauvert
Content Manager
Marion Pauvert is a Content Manager at Arago. She designs and writes expert content to help HR and Finance professionals better analyse and understand industry challenges, tools and evolving roles. With nearly 10 years of experience in communication and content writing, she has worked with organisations such as Groupe TF1, HR companies and software vendors. At Arago, she leads editorial strategies and marketing initiatives aligned with business and sector challenges, grounded in real‑world practices.
Agent-based AI, data governance and SAP connectivity have been fundamentally reshaping the way in which businesses manage their AI and data projects since 2026. These topics are no longer merely a matter of technology watch: they are becoming practical prerequisites for any AI or data utilisation project, from simple migration to agent-based automation.
It is becoming necessary to master a technical vocabulary that is evolving faster than traditional training programmes, and to be able to distinguish fundamental concepts from mere publicity stunts.
Drawing on its experience of working alongside data and IT departments on a daily basis to support their data monetisation and AI integration projects, Arago has compiled this glossary to provide technical and business teams with a reliable reference point for the concepts that will truly shape future decisions.
Keep this to hand all year round!
This glossary comprises 35 key concepts organised into 6 themes, selected for their real impact on data and AI projects in 2026–2027:
