14 result(s) for « didier gaultier »
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…
Integrating AI and Data Science
AI Industrialization: the key steps to a MLOps approach
The industrialization of artificial intelligence – one of the 7 hot data topics for 2022 requires the implementation of MLOps. This approach includes some necessary steps, including a common platform and a feature store. To learn more about this approach, we offer you a how-to-guide for an iterative, but unavoidable transformation. After years, which were…
Understanding AI and Data Science
Data Science: the 4 obstacles to overcome to ensure a successful project
The last five years we have seen the number of Data Science projects carried out by Orange Business in various sectors, such as the oil industry, telephony, retail and services, rise significantly. However, some difficulties must be overcome in order to efficiently implement these types of projects. Explanation. First of all, let us not forget…
Integrating AI and Data Science
Data Ethics/AI Ethics: the 2 faces of a responsible future
Artificial Intelligence is at the heart of all attentions and concerns right now. Did you know that the real difficulty with Artificial Intelligence is not the algorithms, nor the design of the models but it is above all the Data! And yet, Data is increasingly distrusted today. How to solve that and produce trusted &…
Integrating AI and Data Science
Artificial Intelligence: Stay in control of your future!
If there is one topic that really ignites passion and fuels all ideas and discussions in the world of new technologies, it’s Artificial Intelligence. What are the opportunities for enterprises? How to launch AI projects? What are the best practices, benefits, and risks? You will find all the answers in this white paper, available and…
Integrating AI and Data Science
Statistics versus Machine Learning: should they really be opposed?
This “seemingly” old debate deserves to be revisited with fresh perspective. Data Science (such as Big Data) is a constantly evolving field with nowadays proven applications namely in the fields of customer knowledge and marketing… Statistics and machine learning in the era of Data Science and customer knowledge Even though the field of application is fairly recent, the basic methods used in Data…
Integrating AI and Data Science
The 5 key Data Science practices
In the wake of Big Data, many companies embarked on the Data Science journey, the field having established itself as the inescapable route towards Big Data transformation into knowledge and actions. Discover in this blog article the 5 key practices to observe in order to ensure project success. 1. Methodology Data Science methodology is essentially agile and iterative. It derives from inductive reasoning, which…
Understanding AI and Data Science
Can a whole Data Science project be done using R or Python?
For several years now, many Data Scientists have found themselves turning to “language” command line tools, such as R and Python, to deal with Big Data. But can you really undertake a whole Data Science project solely armed with these two technologies? The evolution of Data Science tools Looking back on the evolution of what is known today as Data science, (which,…
Integrating AI and Data Science
The key to Data Science success is the CRISP methodology
The CRISP methodology (originally known as CRISP-DM), first developed by IBM in the 60s for data mining projects, remains, today, the only truly efficient process used for Data Science projects… CRISP methodology: User guide The CRISP methodology includes 6 steps that range from business understanding to deployment and implementation. 1. Business understanding The first step involves acquiring a good understanding of the business elements and issues that Data Science aims to improve or solve. 2. Data…
Data Strategy
Data Scientist/Data Engineer: the skills required to give you a head start in Data Science
Back in 2012, the Harvard Business Review published an article with a somewhat revealing title: “Data Scientist: The Sexiest Job of the 21st Century”. Years later, we revisit this vision in the light of technological developments, namely in the field of Artificial Intelligence. The profession is currently enjoying a surge in popularity and that is…
Understanding AI and Data Science
Data Engineer: which training programs to choose?
To all those young people wishing to embark on a career in Data Science, my advice was to begin with a Data Engineering job rather than directly as a Data Scientist… Today, I would like to walk you through the apprenticeships and training programmes that will help you become a Data Engineer. Data Engineer: which…
Integrating AI and Data Science
Artificial intelligence, machine learning, data science: are these terms interchangeable?
Many writers talk about AI, machine learning and data science, as if these terms were broadly interchangeable. What’s going on exactly?
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Data security
Digital Identities: Understanding Key Concepts and Management Systems
In today’s interconnected world, digital identity forms the backbone of our online interactions—shaping everything from e-commerce and administrative procedures to the protection of personal data. It encompasses not only how individuals, organizations, and objects are identified online but also how these identities are managed and secured. 1. From “Physical” Identity to Digital Identities Identity consists…
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Customer Experience
From Chatbots to Agentic AI: The Future of Customer Experience
Imagine a customer support journey where every touchpoint feels natural, relevant, and even anticipatory. No more frustrating transitions between channels, no more starting from scratch with each interaction — just smooth, intelligent engagement that meets customers where they are. This vision is possible, but many organizations still face a common obstacle: fragmented systems and siloed…
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Understanding AI and Data Science
RAG: enhancing generative AI with enterprise data
RAG has become a key concept for anyone looking to create real value with generative AI based on their organisation’s data. Let’s take a closer look at what it means and explore the best enterprise approaches to make a real impact, interview-style 😉 What does RAG mean, and when is it used? Mick Levy: RAG…
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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…
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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…
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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
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Data & AI culture
5 Critical Foundations for Implementing Generative AI at Scale
Thinking about Generative AI for your business? Before rushing in, make sure you’re not building on sand. In this article, we’ll show you how to lay the groundwork for success—by aligning AI with your strategic goals, unlocking the right data, establishing strong governance, and fostering a culture ready to collaborate with AI agents. You’ll also…
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Data & AI culture
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…
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Digital transformation
What if every Customer Experience was perfectly orchestrated?
In this webinar you’ll learn how organizations could seamlessly align human and digital interactions to craft truly personalized customer journeys. This session delves into leveraging data, AI, and customer insights to create frictionless, impactful experiences. Learn from our experts as they share practical approaches to customer experience orchestration and discuss the latest trends shaping the…
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Data & AI culture
Self-Service Analytics: The pitfall of poor input and blind interpretation
Self-service analytics (SSA) allows selected employees to build dashboards, generate reports, and even ask AI questions without relying on a central BI team. It sounds like the perfect setup: faster insights, more autonomy, and less pressure on data departments. But when users are not trained to handle this freedom, things can go wrong. Poorly framed…
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Data & AI culture
The hidden risks of Self-Service Analytics without governance
Self-service analytics has made data more accessible than ever. Employees can now build reports, create dashboards, and generate insights on their own, without depending on central BI teams. But without clear governance, that freedom comes with risk. Uncontrolled data access, inconsistent reporting and unreliable insights can lead to bad decisions and even compliance issues. What…
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Customer Experience
How AI Is Transforming Customer Experience: Key Strategies for 2025
AI is redefining customer experience (CX) by enabling hyper-personalized interactions, intelligent automation, and predictive engagement. In 2025, businesses must navigate new challenges—like data privacy, AI governance, and workforce upskilling—to stay ahead. This article explores the key market shifts, regional variations, and actionable strategies to help companies harness AI for smarter, more human-centric CX. The AI impact on CX strategy…
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Data & AI culture
Why AI won’t replace your Data and BI Analyst – and why that is a good thing
With self-service BI and AI tools, more employees than ever have direct access to data and insights. They can build dashboards, generate reports, and ask AI for answers. So… does that mean analysts are becoming obsolete? Absolutely not. In fact, in today’s data-driven world, skilled analysts are more essential than ever. They ensure data is…
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Data & AI culture
How AI is transforming Self-Service Analytics and BI (and what you need to get right first)
More and more companies are empowering employees to build their own dashboards and reports. IT manages the data, while users can work directly with tools like Power BI to explore datasets quickly and flexibly. Self-service analytics (SSA) gives users direct access to insights, eliminating the wait for data analysts. Now, with AI in the mix,…