Gen AI Short Presentation

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WHAT IS GEN AI

Presented by Mohamed El Amine Doumbia

Origins, Evolution & Current Reality

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DEFINITION

USE CASES

PROS & CONS

Pros:

• ✨Boosts creativity
• ⏱ Saves time
• 🚀 Opens new opportunities

Cons:

• ⚠️Spreads bias/misinformation
• 🧑‍💼 Disrupts jobs
• ⚖️ Raises copyright/ethics issues

• 💬 Chatbots (ChatGPT, customer service)
• 🎨 Art & design (DALL·E, MidJourney)
• 📊 Business tasks (summaries, presentations, marketing)
• 🧬 Healthcare (drug discovery, medical imaging)
• 🎓 Education (tutoring, personalized learning)

🤖 Generative AI = technology that creates new content (text, images, music, video) by learning from existing data.

Source : OpenAI (ChatGPT, DALL·E)

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2014

1950s

Machines learn patterns, not just rules

G.A.N invented

Birth of AI

1980s

First real “creative” AI for images & art

Alan Turing’s “thinking machines” idea conecptualizes it

Neural networks revived

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2022

MidJourney, Stable Diffusion, Bard, Claude, etc.

AI can turn input prompts into outputs → Modern language models born

ChatGPT release

Sources : Goodfellow et al., “Generative Adversarial Networks” (2014)Google Research, “Attention Is All You Need” (2017) OpenAI (ChatGPT, DALL·E)

2023

2017

GenAI goes mainstream and takes the world by storm

Explosion of GenAI tools

Transformers Published

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Total value of the global generative AI market ($ billions)

Future of GEn AI

200

Source : Generative AI market statistics, Statista

150

• 💵 Market projected to $200B+ by 2030 (Statista)

• ⚙️New industries will be created & other sectors will adopt it (education, healthcare, finance, entertainment)
• 🧑‍💻 Jobs & skills will transform (some replaced, many new ones created)
• ❓Key question: how do we balance innovation vs. risks?

100

50

2020

2022

2024

2027

2030

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THANK YOU!