Develop state-of-the-art Data Science products.

Develop an end-to-end AI product.

Why ?

Develop your strategic position in your market

Develop your strategic position in your industry by anticipating market trends, regulatory changes, or technological disruptions through the use of Artificial Intelligence.

Let's work together!

Challenges

Take Artificial Intelligence from practice to performance!

The expert

Arnault C.

Lead Data Scientist

According to a study by Deloitte, companies that have adopted AI technologies have seen an average increase of 10% in profits. The lead in your data roadmap is a crucial competitive advantage. Take Artificial Intelligence from practice to performance! Master its end-to-end development so that your product meets the specific needs of your business and above all, industrialize your AI product from tools to teams, in order to create the essential capabilities to scale up.

The expert

Arnault C.

Lead Data Scientist

Customized support

With high-level expertise in key Data and AI technologies, Theodo Data & AI helps you reduce the time to market for your Artificial Intelligence product:

Our customized products :

MVP Data Science

In order to automate your production processes, we create a Minimum Valuable Product to allow you to quickly test the model in production:

Data Collection :

Definition of the challenge and scope of the use case, formalization of the company's needs

Analysis of key performance indicators and technical accessibility

Creation and analysis of the Dataset

Preparation for data ingestion and definition of the target architecture
Development of the model in an iterative mode

Model training: generate a new model based on a fixed data set, schedule the frequency of model training to account for new data, optimize the model in terms of resources consumed, response time, bias, and outliers.

Model inference: apply the model to a sample to get a prediction, forecast the refresh rate of the predictions, monitor performance: relevance of the obtained results, comparison with reality and business indicators. This step with a basic model and then with iterations.

Data product discovery

The data product discovery phase aims to mitigate risks related to value, business viability, usability, and technical feasibility of a data product in the most cost-effective manner possible.

This approach is based on hands-on experience to overcome client biases and focuses on the data product strategy by: