AI blog

Is your data really reliable? Each error, duplicate, or missing piece of information seems trivial, but added up, they cost businesses millions. What if your organization's biggest hidden expense was... in your data?

In a world where businesses are overwhelmed by data, the challenge is no longer to collect, but to transform this mass into concrete decisions. Discover how a pipeline powered by AI — from collection to action, including cleaning, enrichment and analysis — makes it possible to make information reliable, to anticipate trends and to make data a real strategic lever.

Choosing an AI agency is not an operational decision, but an act of governance. Behind each project is a central question: who will support your company in its digital transformation? More than a technological selection, it is a strategic choice. In this article, we explore the 7 fundamental questions to ask to identify an agency that can become a true partner, not just a supplier.

Businesses don't fail in their AI projects because of a lack of technology, but because of a lack of strategy, reliable data, and business adoption. This is where the AI agency comes in: a hybrid player, halfway between advice and execution, capable of transforming AI into operational and strategic leverage. Far from being a simple technical service provider, it is becoming a true Chief AI Partner, guiding the maturity of organizations and shaping the governance of tomorrow's AI. An article that dissects this new model, explores its future in the face of consulting firms, and proposes a concrete framework for choosing an AI agency.

Businesses have never had so much data. However, decisions have never seemed so complex. Why? Because the numbers remain isolated, devoid of context. From retail to real estate, the observation is the same: raw data is no longer enough. AI is changing that equation.

The AI Act, the first European regulation on artificial intelligence, comes into force as early as 2025. Behind this ambitious text, a simple idea: for AI to be reliable and trustworthy, it must be based on quality, traceable and transparent data. This article explores the direct link between regulation and data management, and shows why compliance is also becoming a strategic opportunity for businesses.

In every business, data goes a long way before it becomes usable: cleaning, calculations, exploration, scenarios, and then communication. This is the job of analysts, which is essential but often time-consuming, as more than half of the time is spent preparing data rather than learning from it. Artificial intelligence is changing the situation: not by replacing the analyst, but by playing the role of co-pilot, capable of automating repetitive tasks, detecting weak signals and generating scenarios so that humans can focus on understanding and making decisions.

Most businesses only use 20% of their data, which is structured and easy to analyze. The remaining 80% — emails, PDFs, support tickets, customer feedback — are sleeping due to a lack of appropriate tools. AI is changing the game: thanks to embeddings, it becomes possible to link this unstructured data to your business indicators (sales, satisfaction, churn). As a result, your dashboards no longer only show what's going on, but finally reveal why it's happening.

SaaS is too rigid, the service too ephemeral. Between the two, a new model is needed: Service as a Platform. Powered by generative AI, it combines human expertise to understand business challenges and an evolving platform to restore, capitalize and create sustainable value. Discover why this model is already transforming retail, logistics, finance, industry, and real estate.

In industry, a poorly calibrated forecast, a biased indicator, or outdated data can cost millions — in overstocks, in delays, in lost margins. However, these errors do not come from a lack of data... but from information that is incomplete, inconsistent or taken out of context. The role of a specialized AI agency is simple: to transform this mass of raw data into a reliable, enriched and responsive management tool, so that each strategic decision is based on indisputable facts — and not on approximations.

In a world where every interaction, transaction, or operation generates data, businesses have never had so much information at their fingertips. However, as the Bpifrance Le Lab study reveals, a large part of this capital remains unexploited. SMEs and ETIs have files, tables, histories and indicators by the thousands... but this data is dormant, scattered in various systems, incomplete or poorly exploited. The result: strategic decisions taken with a partial vision of reality, even though this information could become a major driver of performance and innovation.

In many businesses, strategic decisions are based on data... not always reliable. Inconsistencies between departments, numbers that arrive too late, anomalies that are not detected: these problems hinder decision-making and are expensive. By combining method and artificial intelligence, it is possible to make your data reliable, enriched and exploited in just 30 days — and to transform the reports received into a real strategic lever.

Every business is sitting on an invisible gold mine: its data. Transactions, customer interactions, market trends... everything is there, but it's often scattered, untapped, or unusable. According to Gartner, 97% of the data collected is never used. And when they are, their poor quality can cost millions every year. However, behind these numbers lies a simple truth: with the right method, raw data can become a powerful competitive advantage. This guide offers a clear path, from initial cleaning to strategic decision, based on key figures and concrete tools.

Do you think that your reports only cost time? In reality, they can snack on up to €10,000 per year and per employee... without anyone noticing. Learn how this hidden cost is undermining your margins and how to eliminate it before it takes hold.

80% of SMEs believe that the quality of their data hampers strategic decision-making. What if your next competitive advantage was simply... better data reliability? This article explores why the quality of your data is a business priority, how AI can transform your relationship with information, and what concrete actions to take today.