CALL EXPERT
AI & DATA
Explore new horizons thanks to an expert in artificial intelligence.
Discover the opportunities hidden at the heart of your data!
With more than 30 clients, and more than 150 AI projects supported, Scopeo can enlighten you on your needs, the range of possibilities, the pitfalls to avoid and the points of attention often neglected.
With expertise at the same time “business” and “tech”, our expert is best placed to support your strategic thinking in the light of know-how and extensive experience in AI and Data Science.
A consultation with an AI & Data expert can help you unravel the complex threads of your situation, without embroiling you in cumbersome and uncertain processes.
Book your session now 30 minutes!
Motivational
Potential
Feasibility
Data quality
algorithms
Why a 30 minute coaching session?
According to Gartner, 85% of AI projects fail due to unclear goals and murky R&D project management processes. Additionally, 87% of R&D projects never reach the production phase, while 70% of customers report that the impact of artificial intelligence is minimal to no.
When it comes to data and AI, details make the difference between an algorithm that produces value and an algorithm that does not. This fateful threshold of quality can be anticipated and understood to avoid wasting budgets.
The earlier we act in a project, the more impact we have on the future. When data has been collected for months, it's too late to realize that we had to do things differently…
The return on investment is far from being a foregone conclusion in an artificial intelligence project. To move forward calmly, you need to know how to be challenged at each stage to be sure you are on the right track.
Our AI & Data coach
Marc Sanselme
AI & Data expert
An engineer graduated from École Polytechnique and specialized in Data Science at ENS Paris-Saclay, he is founder of Scopeo.
With one foot in “tech” and one foot in “business”, he is best placed to support your strategic thinking in the light of extensive knowledge and experience in Artificial Intelligence and Data Science.
His professional experience has included the development of Machine Learning, Natural Language Processing and Computer Vision solutions in product and user-oriented applications.
With 8 years of experience in Data Science, Marc has supported more than 30 clients on various Machine Learning and Data Science projects and brought his vision and advice to more than 150 projects.
As a data and AI expert, Marc has contributed to the development of solutions for Parisian startups such as Owkin, Pennylane, Shipup and at Tesla in California. His expertise spans a wide range of industries and data types, including image, text, sound, and data tables.
Marc has also hosted since 2022, the podcast Data Driven 101 in which he invites professionals from various backgrounds to talk about the concrete applications of Data Science.
F.A.Q.
Whether you have started your development, or whether you just have an idea… whether you are CEO, developer, or future user of your dream tool… whether your idea is very precise or whether you just want to develop data potential… the only thing that matters is that you have unanswered questions.
There are no specific prerequisites. If you wish, you can send a description of the objectives of your call in an ultra-clear bullet point email in order to make the call as effective as possible.
The price for a 30-minute consultation with Marc Sanselme is 199 euros excluding tax.
It is accompanied by an understanding of the context transmitted upstream and a report of the elements presented by the expert, with the references.
Most people who need expert advice only need a short conversation to move forward. Small intense sessions are more effective than long periods spent together.
Our goal is to bring you maximum value with minimum friction for you and for us.
The call is followed by a summary email containing any references cited during the exchange. But the real deliverable is the discussion itself: access to someone who understands your situation and can guide you on the right next steps.
- Get advice for solve your concrete problems with Data Science and artificial intelligence.
- learn how collect, clean, and prepare data for modeling.
- Get advice on latest trends and advances in Data Science and AI.
- Determine the cause of a problem or limitation.
- Understand and apply the Fundamental principles Machine Learning, NLP and Computer Vision.
- ...
Everything that does not concern:
- the data
- the algorithms
- existing or possible applications
We are not advanced experts in subjects such as MLOps, industrialization, infrastructure, large volume management, scalability, monitoring, data governance, etc.
If you have any doubts about our expertise on a particular subject, send us a message via the contact form to clear up the doubt!
There is no guarantee of results, this is the constraint of research and innovation. This is why you are offering us a 30-minute call, to keep expenses as low as possible.
Yes. Scopeo is a Research and Development service provider in the field of AI and Machine Learning. If you wish, we can support you in starting a project, and even complete subcontracting.
To become an AI expert, it is essential to have a solid foundation in computer science, mathematics and statistics. In addition to formal education, practical experience through projects, internships or research is crucial. Constantly keeping informed of the latest technological advances and participating in professional communities is also essential to developing and especially maintaining expertise in AI because it is a field where the state of the art is evolving very quickly.
The AI field offers a variety of roles, such as AI Algorithm Developer, Machine Learning Engineer, AI Researcher, Data Analyst, Data Scientist, Data Engineer, MLOps, and AI Strategy Consultant. Each role requires a unique combination of technical and analytical skills, with a deep understanding of algorithms, data management, and machine learning. However, the boundaries between the different functions are very blurred and in this area, the right profiles are versatile and know how to adapt to the diversity of situations.
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A background in computer science, applied mathematics, or engineering is often recommended for working in AI. Specializations in AI, machine learning, natural language processing, or robotics are particularly useful. Professional certifications and specialized online courses can also complement academic training, providing practical expertise in specific areas of AI.
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