Artificial Intelligence
Artificial Intelligence to meet your challenges and go further
Discover Coexya's historical approach to Artificial Intelligence (AI) and Data Sciences.
Big data, cloud and digital transformation, the foundations of AI
Improving processes and making them more reliable, more efficient, better adapted and more personalised is at the heart of our approach to providing increasingly relevant responses to your challenges.
Digital transformation, Big Data, open data, more powerful servers and the cloud are all advances that have facilitated the deployment of platforms and solutions, each more innovative than the last, without the need for substantial investment.
These developments have spawned a meteoric rise in new developments, with Artificial Intelligence and Data Sciences being the most emblematic of the last 10 years. Like all new technologies, they are having an impact on our businesses and will open up new opportunities as yet unknown.
Coexya, strong expertise in data processing
And where does Coexya fit in? With over 20 years’ experience, Coexya is one of the recognised specialists in data processing, both structured and unstructured (text, 2D and 3D images, sound, video), from capture to enhancement via the design and implementation of solutions tailored to different use cases.
Artificial Intelligence at the heart of our business solutions
2000 à 2012, Coexya réalise un grand nombre de projets basés sur des IA symboliques.
From 2000 to 2012, Coexya carried out a large number of projects based on symbolic AI.
Our significant achievements in automatic language processing (NLP) technologies:
- Industrial Property: measurement of similarity between images and automatic classification
- Health: automatic interpretation of medical reports for patient management in emergency situations (LERUDI)
- Health: automatic interpretation of medical procedure reports to create oncology cohorts (CONSORE)
- Legislative: helping to consolidate legislation in France by analysing the Official Journal and looking for amending measures
- Legislative: anonymisation of case law texts
Symbolic AI: how machines imitate human thought
Symbolic AI: Component that enables reasoning based on formal rules (expert system)
Our view: Easily explained because based on formal rules. On the other hand, it requires upstream codification work by experts in the field.
From 2012 onwards, connectionist AI, driven by results as unexpected as they are impressive on image analysis, changes the general approach and our approaches adapt.
Our achievements:
- Investigation: analysis of multimedia and multilingual data (Text, Sound, Image, Video), facial recognition, translation…
- Health: overhaul of the Consore platform
- Road infrastructure: bot for image-based detection of road defects
- Industrial property: overhaul of similarity search and classification (learning based on enriched Symbolic AI results)
- Digital twin: 3D reconstruction of underground stations and automatic recognition of the equipment present
- Nuclear: instantaneous translation for training in nuclear waste reprocessing
- Access control: facial recognition and validation of identity documents
Connectionist AI: how machines learn like the human brain
Connectionist AI:
combining machine learning and deep learning approaches. Rules are no longer coded, they are learned.
Our view: We see no limit to the highly versatile approach of these architectures and the ability to specialise existing AI.
The downside is that nothing is magic yet, and the majority of achievements are based on supervised learning and require a set of data annotated by experts that is not always available or is poorly annotated or even biased.
In 2022, generative AI exploded onto the mainstream via OpenAI and its chatGPT platform built on LLM (Large Language Model). These LLMs have been developed thanks to the famous Transformers defined in 2017 in a revolutionary article written by a Google team, ‘Attention is all you need’.
Coexya uses, prototypes and monitors Generative AI.
- Coexya software factory: integration of GithubCopilot and Starcoder AI into development environments: pair-programming, analysis, bug-finding, analysis assistance, optimisation, etc.
- Search: prototyping of response generation based on private documentary corpora (fine-tuned LLM)
- Analytical: prototype for assistance in resolving investigation cases
- Analytical: prototype to help analyse quantitative results
Generative AI :
Component that generates text, images, sound, video, presentations based on prompts.
Our verdict: After AI’s ability to understand content, the generative dimension naturally comes into its own. It’s an exocortex that needs to be tamed to make it a relevant and versatile assistant in a number of generative and analytical tasks, with varying degrees of creativity. If you don’t, you’ll be stuck with it!
Are you ready for generative AI? Test your maturity with our quiz!
Find out where your company stands on its journey towards artificial intelligence using our interactive quiz, and receive a personalised diagnosis to help you move forward.
Discover Microsoft 365 Copilot with Coexya
At Coexya, we help you get to grips with Microsoft 365 Copilot, a revolutionary generative artificial intelligence solution.
What we offer:
- Discovery: Explore Copilot’s functionalities and identify the opportunities adapted to your organisation.
- Preparation: Set up a secure environment and prepare your data to maximise benefits.
- Facilitate: Deploy adoption programmes and customise Copilot to meet your specific needs.
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Why invest in Copilot?
Because you want to :
- Increase productivity and reduce time spent on repetitive tasks.
- Encourage creativity with innovative tools.
- Guarantee secure and responsible AI.
