All posts from Orange Business
Data & AI culture
Data & AI Monthly Press Review – March 2026
What were the key developments in Data and Artificial Intelligence this month? In this March edition, we explore how AI is reshaping infrastructure demands, raising new questions around sovereignty and regulation, and reinforcing the strategic value of data, while highlighting the need for trusted foundations to scale AI effectively. 1. AI Growth is putting pressure…
Data Strategy
Measuring AI Impact: How to Turn AI Initiatives into Measurable Business Value
Artificial intelligence is rapidly evolving from experimentation to operational deployment. Many organizations have already launched pilots, integrated generative AI assistants into workflows, or embedded machine learning into critical business processes. But as adoption accelerates, a new question emerges: how do you measure the real impact of AI? Across industries, companies report impressive return on investment…
Data and AI news
Data & AI Monthly Press Review – February 2026
What were the key developments in Data and Artificial Intelligence this month? In this February edition, we explore the growing importance of data sovereignty, the rise of multi-agent AI ecosystems, the transformation of search through conversational AI, the European Commission’s warning to Meta regarding competition in AI chatbots, and the strategic challenge of scaling AI across Europe. 1. Data…
Data Governance
Measuring AI Impact: Turn AI into measurable business value
Artificial intelligence is now central to business strategy. Companies invest in AI to improve performance and decision-making, but deploying tools is only the first step. Real impact requires clear goals, the right KPIs and strong governance. Our ebook “Measuring AI Impact” explains how to move beyond experimentation and turn AI into measurable, sustainable value. In…
CRM
CX trends for 2026: AI-first service, intelligent journeys and value-driven orchestration
Customer Experience is moving fast. But not always in the right direction. As AI becomes embedded in service operations, journeys grow more complex, and orchestration spans more teams and platforms, the gap between promising innovation and lived experience is increasingly visible. In this article, three CX experts from Orange Business share their perspective on what…
Data Trends
7 Hot AI Topics for 2026
Welcome to 7 Hot AI Topics, a series of seven articles and videos exploring major Data & AI trends. For this season, members of Orange’s Executive Committee and Group Executive Committee have shared their own topics to shed light on corporate strategies and projects. Each of these topics represents a concrete solution for building a…
Data & AI culture
Data & AI Trends for 2026: Governance, Regulation, Sovereignty and the Shift to Autonomous AI
As we enter 2026, the Data & AI landscape is undergoing one of the most significant transformations since GDPR. Regulatory pressure is intensifying, cloud strategies are shifting toward sovereignty and interoperability, and AI is evolving into more autonomous, agent-driven systems. Organizations must now balance innovation, compliance, and operational speed in a highly dynamic environment. The perspectives shared in this…
Innovation
Sovereignty and transparency are bringing open source back to the heart of enterprise strategy
Driven by the need for greater sovereignty, better control over the technologies in use and stronger cost management, open source is no longer seen as a marginal choice by organizations. At the Open Source Experience event, Fabrice Billard, Head of Architecture and DevOps at Orange Business, shares his perspective on the current dynamics shaping the…
Data & AI culture
Cut Through the Noise: The Five Essential Lessons on Agentic AI
AI is advancing so quickly that organizations often struggle to distinguish what’s genuinely valuable from what’s merely loud. With constant announcements, new tools, and rising expectations, leaders need clarity more than ever. Agentic AI holds immense promise — but realizing that promise requires the right choices, the right structures, and the right mindset. Here are…
Understanding AI and Data Science
Shadow AI, sovereignty, trust: addressing the real challenges of AI
The rapid rise of artificial intelligence (AI) in the professional world is raising critical questions, particularly around cybersecurity and trust. On the occasion of InCyber 2025, a conference explored the risks associated with Shadow AI, their impact on organizations, and the solutions that can be implemented to address these challenges. Conference: Shadow AI, sovereignty and…
Data & AI culture
Sovereign AI: The smart hybrid approach for speed & control
As Artificial Intelligence continues to transform industries, European organisations face a crucial question: how can they fully leverage AI’s potential while maintaining control over their data, infrastructure, and compliance? In this CIONET Tech Webinar, experts from Orange Business unpack what Sovereign AI means—and how it can act not as a constraint, but as a catalyst…
Data and AI news
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…
Data and AI news
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
Technological solutions
How to Optimize AWS Cloud with the Well-Architected Framework
As organizations spend more time in the cloud, they begin to understand how their cloud usage seemingly evolves endlessly over time. How can you continuously work on security, reliability, and efficiency in your cloud infrastructure while remaining cost-effective? A general answer to this question is the Well-Architected Framework, often abbreviated as WAF. Well-Architected Framework When…
Digital transformation
Creating frictionless Customer Experiences with a curated CX ecosystem
Discover how CX leaders can simplify technology choices to create seamless, compliant ecosystems, enhancing customer interactions effectively. What you’ll learn Discover how to build a curated, high-performing CX ecosystem in a complex MarTech landscape of 11,000+ solutions.
Customer Experience
The Future of Banking: How Digital Transformation Enhances Customer Experience
In retail banking, customer experience isn’t just important—it’s the competitive edge. Banks are no longer differentiated by their products alone; success now depends on delivering seamless, digital-first experiences that drive customer loyalty. Modern customers expect more than just secure transactions—they demand fast, intuitive, and hyper-personalized interactions across every touchpoint, whether online, via mobile apps, or…
Digital transformation
CX in retail banking: digital transformation as a continuous driver of customer experience practices
Retail banking is at a turning point. Today, customers expect personalized, seamless, and consistent interactions across all channels—whether digital or in-person. At the same time, banks are navigating complex challenges: rapidly changing technologies, growing regulatory demands, and competition from digital-first disruptors. What you’ll learn Why read this ebook? If you’re responsible for enhancing customer experience, driving innovation,…
Data Trends
#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…
Data Trends
Established AI practices and new promises ahead
Companies are investing heavily to unlock the potential of generative AI. At the same time, they are not turning away from other forms of AI, such as Machine Learning and Deep Learning. Across the spectrum, there is no shortage of high-value use cases. Here’s the proof. “The AI revolution began 20 years ago. For two…
Understanding AI and Data Science
The direct impact of Artificial Intelligence on Human Resources what ChatGPT and we have to say
The direct impact of AI on employees – and therefore on Human Resources (HR) departments – is, in our view, an urgent matter to address if it has not already been considered. It also provides an opportunity to explore how data science can support HR directors in their strategic missions. In this article, we will…
Understanding AI and Data Science
ChatGPT, Midjourney, LLM… But what exactly is generative AI?
With ChatGPT leading the way, alongside MidJourney and DALL·E, generative artificial intelligence has entered the mainstream—though not without creating some confusion. Generative AI technologies cover a wide range of tools and applications that businesses need to understand and harness. Here’s a closer look to clarify and demystify the subject. At the end of 2022, OpenAI…
Data & AI culture
Data-Driven Working: How to Get Data You Can Rely On
More organizations are embracing data-driven decision-making, leading to an abundance of collected data. However, the key to success lies in the quality of this data. High-quality data is essential for making accurate, reliable decisions. For example, insurers need complete claim data for accurate risk profiles, pension funds require precise return data for sound investments, and…
Data Marketing
Adobe’s Suite: revolutionizing customer engagement and driving business growth
In today’s competitive business landscape, companies must find innovative ways to leverage data and understand their customers better. Adobe’s suite—comprising the Real-Time Customer Data Platform (CDP), Journey Optimizer, and Customer Journey Analytics—provides powerful tools to enhance customer engagement and drive growth. This article explores how these Adobe applications transform customer experiences, based on the Forrester…
Understanding AI and Data Science
Generative AI: who are the key players in the market?
The generative AI market is still very young. As a result, the number of players remains relatively limited for now. Two main categories stand out: the GAFAMs on one side, and start-ups on the other. Why are there so few mature players in this field? Because in artificial intelligence, the real battleground lies in access…
Data & AI culture
(Gen) AI – Garbage in, Garbage out: Why Data Governance is Crucial to Avoid Data Risks
How much is your organization really losing due to poor data quality? In today’s data-driven world, especially with generative AI like CoPilot and ChatGPT, any inaccuracies in data can lead to poor business decisions. Whether it’s wrongly rejected insurance claims or inefficient energy networks, the impact spans all sectors relying on precise data for efficiency…
Technological solutions
Sovereign Cloud: how the geopolitical situation leads to an increased need for data sovereignty
Data sovereignty and compliance have had a major impact on IT decisions, and organisations need an adaptable data infrastructure to meet new privacy laws. Understanding data sovereignty is essential for strategic IT planning. That’s why we’ve written an ebook explaining the concept of “Sovereign Cloud” and what it means within the EU. This is what…
Data & AI culture
Generative AI implementation: A roadmap from concept to reality
The emergence of Generative AI is creating waves in the corporate arena, offering a transformative impact on innovation and productivity. Despite its potential, integrating this technology into existing business frameworks poses significant challenges. This guide aims to clarify Generative AI for enterprises, spotlighting its benefits and providing strategies for effective deployment. Our objective is to…
Understanding AI and Data Science
The development of generative AI: what impact on businesses?
In January 2023, just two months after its launch, the ChatGPT website was already receiving an average of 13 million unique visitors per day, with daily traffic growing by 3.4%. By April, the site was welcoming one billion monthly visits, including nearly 100 million active users. Why do generative AI and Large Language Models (LLMs)…
Data Marketing
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…
Data & AI culture
Implementing a Data Strategy for Generative AI
In the dynamic world of technology, the emergence of generative artificial intelligence (AI) has marked a new era of innovation. This transformative technology is not just reshaping the landscape of AI but also redefining the strategies organizations must adopt to stay competitive and relevant. The integration of generative AI into business operations offers immense potential,…
Customer Experience
Towards a Responsive by Design Customer Experience: Why Your Business Stands to Gain
Transforming the customer experience is essential to meeting client needs in a constantly changing world. Drawing on the experience gained with the Orange Group and many clients worldwide, we have learned that there are few universal rules or ready-made solutions. However, every executive team should be aware of certain key trends to help guide their…
Data and AI news
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…
Customer Experience
Transforming Customer Journey Management
The cost to businesses due to disrupted contact centre experiences has reached an unprecedented level. Customers encounter inconsistent interactions, messages, and assistance depending on the communication channels they choose to use. In addition, employees grapple with disjointed data and the challenge of keeping tabs on transitions between voice, chat, email, IVR, bots, websites, mobile apps,…
Technological solutions
Creating a sustainable cloud strategy for the future
The cloud helps you innovate, but there are many pitfalls. Thinking about how to use and evolve cloud solutions in a secure and responsible manner is complex and requires a plan. Cloud Strategy for the future
Digital transformation
Customer Data Platform: Setting the strategic foundations for Customer 360° and personalization at scale
Unleash the true potential of your marketing efforts and deliver exceptional customer experiences with the help of a Customer Data Platform (CDP). Seamlessly integrating data from all channels, a CDP ensures consistent and personalized interactions with your customers at every touchpoint. Key benefits of implementing a Customer Data Platform This ebook contains following sections: Take your…
Data Strategy
Data Mesh: a guide for companies
There is tremendous enthusiasm for Data Mesh. And for good reason: we finally have a complete framework for valuing data at company level. This white paper offers you a deep dive into the concept of Data Mesh to understand the ins and outs and get the keys to apply it to your organisation. A full…
Data Trends
#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,…