Artificial Intelligence and GenAI
The integration of artificial intelligence technologies is becoming imperative to stand out and remain competitive.
As an expert partner in operational efficiency, we offer customized and secure AI solutions. Our in-house R&D Lab, staffed by a team of experts in AI, NLP and generative AI, guides you from design to deployment of high-quality business applications and all your AI projects.
Artificial intelligence is a major technological field that seeks to create systems that mimic or surpass human capabilities. Based on concepts such as machine learning and massive data analysis, AI enables machines to learn, reason and make decisions. This discipline, integrating diverse theories and techniques such as mathematics and computer science, aims to extend human intelligence through the machine.
Its integration into corporate strategy remains a major issue, with a largely under-exploited potential.
In this context, we are seeing the emergence of a new field of AI called generative AI. The latter stands out by focusing specifically on the autonomous creation of new data, opening up innovative perspectives in the generation of images, text and other original content.
Your challenges
Today, many organizations see Artificial Intelligence and GenAI as a catalyst for innovation.
However, many are still struggling to extract value from their projects, and many questions remain: What is the state of the art in AI?
How can we fully exploit the potential of Artificial Intelligence and GenAI?
How can we move from PoC status to deployment at scale?
Which AI sub-areas should be explored first to boost performance?
Our value proposition
As a forerunner in AI and GenAI, Novelis can help you create value and generate ROI:
- Ideation and identification of use cases
- Data mining and PoC (Proof of Concept) experimentation
- Development, design and integration
- State-of-the-art monitoring and reporting by our laboratory researchers
- Training, acculturation and change management
Our team of experts in the Novelis R&D Lab will also support you in the area of generative AI, enabling you to unlock new levels of productivity.
Generative AI solutions are revolutionizing sectors such as banking, healthcare and industry, offering innovative, customized applications.
Banking players – create individualized financial strategies based on unique customer profiles; healthcare players – use models in the analysis of genomic and patient data to personalize drug formulations and dosages; industry players – analyze images to detect defects and anomalies in production processes.
Here’s how Novelis implements generative AI in your organization:
- Identification and preparation of your high value-added use cases
- Analysis of your needs to select the most appropriate generative AI model and technology
- Optimization of your AI by integrating your proprietary data and specific business rules to unleash its full potential as a super brain in your field.
- Securely integrate our AI model into your information systems, respecting your security and confidentiality standards, then test before granting access to your teams.
- Transform your business by supporting the use and expansion of your generative AI solution to maximize its benefits.
This enables us to operate in a wide range of AI fields:
Machine Learning to enable systems to improve their capabilities through experience.
This technique is notably used in one of the software solutions, Novy POM, for the intelligent processing of invoices and purchase orders.
- Predictive analytics or data science: by combining data mining, machine learning and predictive modelling, AI makes it possible to predict future events (such as sales volumes) based on a history and by integrating both internal and external variables.
- Deep Learning (machine learning): this learning technique is particularly effective in the context of translation or voice or image recognition.
Revolutionizing Interaction and Automation with AI: From Natural Language Understanding to Computer Vision
NLP (Natural Language Processing) or TAL (Traitement Automatique du Langage) in French to give machines the ability to understand and process human language. This is what allows conversational agents to function today. AI, and especially NLP (Natural Language Processing) or NLU (Natural Language Understanding), allows to create conversations between man and machine. More precisely, NLU allows to analyze a sentence and to extract its meaning (the intention) and eventually its variables (the entities).
- Automatic translation (from a language A to a language B): since the creation of our R&D Laboratory, our doctors have been working on the problem of generating a programming language from a need described in natural language. The work of our researchers on this subject has been praised by the scientific community on several occasions. More information
- Classification: consists in predicting the class of a data from the characteristics of the data. The objective is to identify the letters of the alphabet or a number from a database of labeled characters. A concrete application of this tool is the automatic reading of mail addresses at the post office, allowing the automatic redirection of mail used in certain areas
- Information/extraction: i.e. the extraction of information or data from an element (such as an invoice or the processing of information contained in emails).
Speech (or speech processing) to convert audio content into text (Speech-to-Text) or to read texts aloud via a machine (Text-to-Speech).
This is the technique used by Voicebot, robots capable of conversing with a person by voice in natural language.
Unlike Chatbots, which are able to communicate in writing.
Computer Vision and Machine Vision to give machines the ability to “see” and “understand” images or videos. This technology is used in particular for optical character recognition (OCR), which is very effective for automating financial processes (invoice reading).
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