Why 80% of AI projects don't deliver their full value (and how to unlock your data)

Artificial Intelligence is at the heart of all business strategies. However, behind the promises of revolution driven by massive investments, a darker reality is emerging: many organizations face a palpable disappointment regarding the concrete results of their projects.

While managers expect a revolution, technical teams too often face stalled projects. The real obstacle no longer lies in the maturity of the algorithms, but in the availability of the essential raw material: The data.

The observation: the promise of AI in the face of operational reality

According to Gartner, it is now estimated that 80% of business data remains unusable (source: Gartner). This systemic blockage creates a major disconnect between the expectations of COMEXs and the real performance of the solutions deployed.

Whether subject to the GDPR, strategic or simply too rare, your data is now trapped in regulatory, technical and organizational barriers. This “freezing” of data assets has direct financial consequences:

• ROI not achieved: The models lack high-quality “fuel” to generate the expected profits.

• Stagnation of talent: Your teams spend 80% of their time looking for and negotiating access rather than innovating.

• Slow time-to-market: Legal approval processes are delaying launches by several months.

The “5 walls” that block your AI strategy

To unlock business value, it is crucial to identify the barriers that transform your databases into dormant assets:

1. The regulatory wall: Constraints like the GDPR or the AI Act create administrative bottlenecks.

1. The privacy wall: The manipulation of sensitive information exposes the organization to immense legal and security risks.

1. The intellectual property wall: The fear of compromising trade secrets blocks internal and external collaboration.

1. The wall of rarity and quality: The lack of data for atypical events (edge cases) prevents the training of robust models.

1. The organizational wall: Information retention and silos between departments create technological blind spots.

From blocked data to trusted data

The future of AI does not lie in the next algorithm, but in transforming your constrained data into Trusted Data Assets (trusted data).

Where traditional approaches (masking, pseudonymization) often sacrifice statistical utility in favor of security, a new technological approach is changing the situation: the generation of anonymous synthetic data.

💡 What is anonymous synthetic data? 

Generating synthetic data is creating an entirely new data set based on your real data. But beware of preconceived ideas: The vast majority of synthetic market data is not truly anonymous. This is where Octopize stands out. Thanks to its patented mathematical algorithm, Octopize creates anonymous summary data, in the strict sense of the CNIL, and which offers a very good balance of confidentiality and usefulness. Concretely:

• The usefulness is maintained: The data generated maintains the same statistical properties and correlations as the original data. They remain perfect fuels for training your AI models.
• The risk is eliminated: They no longer contain any personal, sensitive or strategic information. Out of the scope of the GDPR, they become freely shareable and usable for AI.

Where many solutions rely on “black boxes” (like classical generative AI), Octopize's technology is distinguished by its transparency. Its operation, published and scientifically validated (Article in Nature), is totally Explainable. It is precisely this mathematical explainability that allows Octopize to be today the only actor capable of to prove and document anonymization in a factual manner of the data generated.

The Octopize approach: transforming constraints into value

With the Octopize solution, you can now:

• Ensuring native compliance “by design” validated by the competent authorities (successfully evaluated by the CNIL).

• Maintain high statistical fidelity to train your models on usable data.

• Accelerate your projects by dividing data access times by ten.

Ready to break the glass ceiling?

Don't let your data sleep anymore. The lack of accessibility is not just a technical frustration, it is a financial abyss that can cost some sectors up to several billion euros per year.

It is time to move from a defensive posture to an offensive dynamic by making your data assets the engine of your growth.

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📅 Next webinar: Why don't AI projects deliver their full value?

Is your data really ready for AI? 80% of business data remains unusable, and it is now the main obstacle to AI projects. Massive investments are made in models, but without usable data, projects stagnate.

To understand what is really blocking on the ground, we receive Alexandre Vasseur (Customer Success Manager at microsoft), who will share concrete feedback on the challenges encountered during deployments. Faced with these observations, Octopize will show you how to turn your locked data into usable and reliable assets using synthetic data.

• 📅 Date: Tuesday 20 May
• ⏰ Time: 10:15 — 11:00

On the program:

• Feedback (Microsoft): The concrete difficulties encountered when deploying AI projects.
• The root of the problem: Why data is the main obstacle to ROI today.
• The solution (Octopize): How to exploit sensitive data without compromising security.

Why participate?
‍✔️ Understand why your AI projects are slowing down.
✔️ Identify technical and organizational obstacles.
✔️ Discover a concrete approach to exploiting your data.

👉 Sign up now and transform your data into a performance driver.