Our expertise

Go To IA

Put Generative AI to work for your teams and your business

How to capture the benefits of generative AI?

Putting generative AI to work for businesses involves working on 3 dimensions: understanding the technology, identifying the business use cases, and implementing the right tools

Understanding the technology

    • Understand the fundamentals of Artificial Intelligence models and the specific features of the Transformers model at the heart of Generative AI.
    • Comprehend the capabilities and limitations of LLMs (Large Language Models) and Generative AI models

Identifying the business use cases

    • Analyze business processes and identify opportunities brought about by generative AI
    • Describe use cases and implementation conditions

implementing the right tools

    • Map functional requirements and applicative modules
    • Inventory prerequisites (data, computing capacity, data security management)

Valthena has developed a simple offer: “Go To IA”, which makes it possible to tackle these three dimensions within the framework of a seminar

And a tool: Valthena IA Portal, for rapid prototyping of the most common business use cases

A three-pronged practical approach

  • Generative AI training

    Acculturation and appropriation of generative AI by your teams

  • Use case ideation workshops

    Identification and qualification of business Use Cases

  • Business application prototyping

    Prototyping a Generative AI Business Application with the Valthena IA Portal tool

  • Why Valthena?

    Three key assets to support you

    1. Tooling: Generative AI tool ‘Valthena IA Portal’ for rapid prototyping of business applications for the most common use cases
    2. Experience and competence:
        Successful experience in implementing generative AI with the creation of tools and business applications for our own account.
        Strong skills around a technical leader and AI practitioners.
        100% of our teams have been trained in generative AI and use Valthena AI applications on a daily basis.
        Partnership with a data specialist to secure production launches “from data to AI”
    3. Technology and industry watch: Constant monitoring of market players and emerging value-added business use cases