Data Trends
Artificial Intelligence, Machine Learning, Deep Learning, Data Architecture, Self Service Data, Big Data, Data Governance or Open Data, what are the trends in these areas? What are the topics to follow in the Big Data universe?
Reinvented professions, challenges to be taken up, "to be or not to be". For you, our experts will decipher the current topics, new uses and controversies in the world of (Big) Data.

Turning AI Promise into Business Value
Generative AI is evolving fast—but how do businesses move from hype to real impact? This ebook from Orange Business explores how organizations can turn AI potential into measurable value at scale. Unlock the real-world lessons behind AI at scale Featuring in-depth case studies from Banque Populaire – Caisse d’Épargne (BPCE) Group, Pierre Fabre, and the…

Your Route to AI Success
Discover how to stay ahead of the competition and leverage artificial intelligence (AI) for business growth with our comprehensive guide, “Your Route to AI Success”. Authored by experts at Orange Business, this Ebook provides practical insights and actionable strategies for deploying AI effectively in your organization. What’s Inside? What you will learn from this ebook

How to Simplify ESG Compliance with Automated ESG Reporting Software
As sustainability regulations continue to evolve, organizations face mounting pressure to comply with the European Sustainability Reporting Standards (ESRS) and other international frameworks. To address these complex requirements efficiently, many are adopting automated ESG reporting solutions to streamline disclosures, align sustainability initiatives with strategic objectives, and ensure regulatory compliance. In this article, you’ll learn how platforms such as Jedox enable effective ESG…

ESG & CSRD Compliance: How Companies Can Navigate New Corporate Transparency Standards
The European Sustainability Reporting Standards (ESRS) are setting new benchmarks for corporate transparency and ESG. Released by the European Financial Reporting Advisory Group (EFRAG) on June 9, 2023, ESRS Set 1 establishes sustainability reporting requirements under the Corporate Sustainability Reporting Directive (CSRD). These standards ensure that companies disclose environmental, social, and governance (ESG) data in a consistent and meaningful way, helping investors, policymakers, and stakeholders…

#AI: 7 hot topics for 2025
The 7 IA hot topics of this 9th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2025? Here our videos to find out the answers with images. Discover the new edition of the 7 IA Hot Topics of the Year! The program: AI agentic… let’s…

Customer Data Platform 2024: 5 Trends to Keep in Mind!
In the ever-evolving landscape of customer data management, Customer Data Platforms (CDPs) are poised to experience significant shifts and advancements in 2024. As businesses continue to prioritize data-driven strategies and customer-centric approaches, staying ahead of the curve is essential. Here are five trends to watch for in the world of Customer Data Platform. Estimated reading time: 3…

Generative AI: Visa for a more interactive digital future
While the concept of generative AI is not new, and even less so is artificial intelligence, the real ChatGPT revolution is not so much in the technology itself as in its ability to target a very broad audience. So how can we facilitate the deployment and adoption of generative AI in business? You’ll find out…

The missing pillars in the Data Mesh approach
Is Data Mesh a utopia? For two years now, the concept of Data Mesh has been seen as a revolution in the world of data since it would fill the gaps when it comes to data centralization on a platform. But in practice, the Data Mesh concept should not be considered as a key recipe…

Data Mesh, a total data-driven model
Through its four main pillars, Data Mesh truly moves away from the dogma of centralisation and all-technology in favor of a global approach based on federation. Data Mesh thus promises to be at the heart of company data strategies and organisations. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives…

#Data #AI: 7 hot topics for 2023
The 7 hot topics Data and AI of this 7th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2023? This year, we decided to ask the question directly to those who are on the front line: Chief Data Officer, Data Transformation Managers, Data Strategy Managers,…

Data Mesh: Practical examples and feedback
Mastering data and its uses to create value is an ambition that is increasingly shared. However, organisations continue to face obstacles that Data Mesh could help to overcome… provided the transformation is successful and the whole company is brought together. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives business…

Data Mesh: federated governance to guarantee efficiency
Data governance is an essential part of any data strategy. Nevertheless, it remains complex to deploy in a traditional organisation, but through its federated approach, Data Mesh is able to remove obstacles. In this article, we explore the fourth and final pillar of Data Mesh, known as Federated Data Governance. 1- Data Mesh: the ultimate…

Data infrastructure self-service as the technological driving force behind Data Mesh
Data Mesh is not strictly speaking a technological approach, but data domains need powerful technical resources to develop their products. The data platform and its infrastructure are a facilitator for unifying initiatives and rationalizing the technologies used. This requires essential characteristics in terms of agility and automation for on-demand or self-service resource consumption. The Self-Service…

Data Mesh: data is a product
Oil, digital black gold, strategic asset… With Data Mesh, data is regarded as a product. Data domains are responsible for managing the life cycle of these products and for sharing and promoting them throughout the organisation. This structuring into data products is the second of the four pillars of Data Mesh. 1- Data Mesh: the…

Data domains: Data Mesh gives business domains superpowers
The Data Mesh concept is based on four main pillars, the first of which is an organisation divided into data domains. To be effective, this structure must reflect the business reality of the company and the interactions between its various entities. It therefore presupposes a high degree of proximity to businesses. 1- Data Mesh: the…

Data Mesh:The ultimate model for data-driven companies?
A new paradigm for data management, Data Mesh breaks with data centralisation models used for the past 30 years. Its foundations: federated decentralisation and redistribution of responsibility for the benefit of strong company commitment. This article is the first in a series that we are dedicating to Data Mesh. This concept brings together all the…