Artificial intelligence is no longer a futuristic promise - it's already here, at the heart of our tools, our businesses, and our decisions. And yet, in the midst of all this talk, the question remains: how can generative AI create value in the workplace?
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Webinar hosted by :
Charles-Antoine POIRIER - expert consultant in innovation strategies and founder of Future Path.
In this webinar, we discussed the following points:
1. Why talk about generative AI today?
2. Major risks and challenges
3. Concrete fields of application
4. Use cases by profession
5. Towards a new era: Agentic AI
6. How to launch an AI project?
CONTENTS
1 What is generative AI?
2. Why use generative AI?
3. How to launch an AI project in your company?
4. Towards a new era: what is Agentic AI?
You may not know it, but you use Artificial Intelligence EVERY DAY, without even knowing it.
100% of French people are exposed to AI via Netflix, TikTok, LinkedIn...
But in concrete terms, what is generative AI and how can we spot it? It's an artificial intelligence technology capable of producing original content - text, image, sound, code - based on existing data. It goes beyond analysis to create new answers, visuals or predictions.
Generative AI marks a major turning point in digital content processing and creation technologies. With the democratization of tools like ChatGPT and Midjourney, this technology is no longer limited to insiders, but is truly transforming business processes, from marketing to software development. Its ability to generate, reformulate and synthesize content makes it an essential lever for innovation and competitiveness in today's businesses.
To find out more, download our ebook!
Launching an Artificial Intelligence project requires a structured approach, in line with business objectives.
To discover all the key stages, download our free ebook!
In this ebook, you'll learn how to avoid two common pitfalls:
POCs with no real impact
Many companies launch AI Proof of Concept projects without a clear strategy or a strong link to their business challenges. The result: projects that struggle to be industrialized for lack of demonstrated value.
Internal chatbots not widely adopted
Some organizations develop in-house AI assistants to secure their data. But without customization and integration with business processes, these tools often remain under-utilized by teams.
Charles-Antoine has developed a project methodology for implementing AI in organizations based on prior acculturation via co-construction workshops and a pragmatic approach. Feel free to contact us to find out more and call on the services of our experts.
Agentic AI refers to a new generation of AI that is more autonomous, contextual and proactive. It differs from current AI, which are still highly dependent on manual "prompts". Here are the major developments:
The "prompt" is the written instruction given to a generative AI to obtain a precise response.
The prompt - the textual instruction given to ChatGPT or other LLMs - is considered too :
Tomorrow, we won't have to "program" AI via a well-constructed sentence, but simply dialogue or interact.
AI agents are entities capable of :
- Automate tasks (e.g., search, write, file, transmit)
- Interact with other tools, APIs, software or humans
- Adapt to a specific business or user context
👉 The goal: to move from "reactive" AI (I ask a question, it answers) to "proactive" AI (it proposes, plans, collaborates), towards useful, usable and desirable tools
This new paradigm will enable us to create tools that are more :
Agentic AI therefore represents the next step in the democratization of AI in the enterprise.
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To know more, download our ebook!
