Artificial Intelligence and Machine Learning

AI and ML allow you to facilitate complex tasks.

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning allow you to facilitate complex and scalable tasks so that you can focus on higher value-added tasks. Machine Learning (ML) is a subcategory of AI that allows machines to learn from data.

Artificial Intelligence and Business


AI and ML are technologies that allow you to solve complex problems and make intelligent decisions. These technologies are used in many fields, including finance, health care, manufacturing, retail, and utilities. Their generalization is transforming the way businesses operate and interact with their customers, as well as the way they work.

AI and ML open the door to processes and actions that have historically been difficult to automate because they are unstructured, repetitive, or require a degree of freedom. These technologies allow you to process unstructured data, make intelligent decisions, and solve complex problems. While they are not magic tools, they allow you to save valuable time on moderately complex tasks, and can also be a valuable assistance for complex tasks.

Use cases of Artificial Intelligence and Machine Learning in business

Today, AI and ML are widely deployed in large companies, and are becoming more and more popular in smaller companies, even at the individual level. Consumer AI started to appear in the 2000s, with voice assistants such as Siri or Alexa. Recently, the arrival of ChatGPT and its equivalents has generalized the use of language models for text generation for personal use.

In the business world, Artificial Intelligence is widely deployed, and for a growing variety of tasks.

Some use cases of Artificial Intelligence and Machine Learning in large companies


Vision and sound recognition

Artificial Intelligence allows to detect objects, trajectories, but also sounds. These technologies are used for the autonomous driving of vehicles, but also for the detection of faces and the validation of identity documents for example.


Recommendation systems are used to offer relevant products to customers, but also to offer relevant content to users of streaming platforms.

Anomaly detection

Anomaly detection systems are used to detect unusual behavior in data. These systems are used to detect fraud, but also to detect failures in industrial systems.

Data structuring

Data structuring systems transform unstructured data into structured data. These systems are used to transform documents into exploitable data, but also to transform images into exploitable data, emails or conversations.

Use case, structuring financial data from WhatsApp conversations

WhatsApp communications are a difficult to exploit data field.

Today, Lleed & Partners supports its largest clients in the valorization of their unstructured communication channels (WhatsApp, email, etc.). These channels are a difficult to exploit data field: their structuring allows them to be valued.

Reading WhatsApp exchanges makes it possible in particular to follow the offers and commercial exchanges carried out, and subsequently to easily fill the obligations of compliance, follow-up of the sales, and reporting. All this automatically, and in just a few seconds.

These automatisms allow our clients to concentrate on tasks with higher added value, and to save valuable time in obtaining this data, at a lower cost.

Artificial Intelligence and Machine Learning at Lleed & Partners

Lleed & Partners offers its clients comprehensive support in the implementation of Artificial Intelligence and Machine Learning solutions, from prototyping to production. The Artificial Intelligence departments in Paris and Geneva allow us to offer tailor-made, state-of-the-art solutions, guaranteeing a good understanding of business issues and particularly confidentiality.

Artificial Intelligence and Machine Learning

AI and ML allow you to facilitate complex tasks.

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