Beauty meets brains 💅 🧠
"Flawless partnership: innovation and ecology" by Beatriz Bueno, an IBM designer

Beauty meets brains 💅 🧠

L'Oréal and IBM: AI-Powered Beauty

Earlier this year, IBM and L'Oréal , the world’s largest cosmetics company, joined forces to use IBM's generative AI technology to transform cosmetic development. The collaboration aims to uncover new insights in product formulation, helping L'Oréal adopt more sustainable raw materials and reduce energy and material waste.

Together, they are creating a custom AI foundation model designed to empower L'Oréal's Research & Innovation team to drive higher performance and customer satisfaction across all cosmetic categories and regions worldwide.

👉 Read more about the first-of-its-kind formulation foundation model

👉 In this episode of Smart Talks with IBM, Malcolm Gladwell dives into the exciting collaboration between L'Oréal and IBM. He explores how a custom AI model could help L'Oréal’s researchers shape the future of what we put on our faces every morning.

Gen AI: One Size Doesn't Fit All

Gen AI models come in many flavors. What they can do, how well they work—and how much they cost—varies widely. 

With the massive amount of data and resources it takes to train a single large language model (LLM), the question of size is monopolizing many conversations about gen AI. As a result, many CEOs wonder whether they should scale large gen AI models for their business. Or if they should develop smaller, niche models for specific purposes. The answer is, they need to do both.

IBM Institute for Business Value research has identified three things every leader needs to know:

  1. There’s no such thing as an all-purpose gen AI model 
  2. Gen AI costs are completely in your control 
  3. Gen AI advantage is fleeting 

👉 Download the CEO’s guide to learn 3 things every leader needs to do right now 

Curious about AI models? Discover size vs. use case pros & cons ⤵

👉 Explore IBM Granite models

Tvan Kurt

LLM, AI, Python | MBA in International Business | Recording Studio Owner - Artist Resource Project Manager | Tourism

1d

Too many organizations are still operating in the FROM +AI model: They build their business first, then try to “add AI” later. This leads to fragmented systems, confused teams, and missed opportunities. The future belongs to the AI+ model: Where every department—from HR to logistics to customer service—is trained to think with AI, not just use it. Where AI isn’t a feature—it’s a framework. Where staff aren’t just users—they’re collaborators in intelligent systems. 💡 Imagine the shift: Sales teams using predictive analytics to anticipate client needs Project managers leveraging AI to optimize timelines and resources Customer support powered by empathetic, AI-driven assistants HR using AI to foster inclusive hiring and retention strategies This isn’t science fiction—it’s happening now. But only in companies that train their people, not just their platforms. Let’s stop asking “How can we use AI?” And start asking “How can we think with AI?” #AIPlus #IBMTraining #FutureOfWork #DigitalTransformation #Leadership #AI #BusinessStrategy #WorkforceDevelopment

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Gabriela Alvarado

Data Analyst for Tech Startups | Driving Growth through Analytics & Optimization | SQL • Python • BigQuery • Looker Studio | Remote

1w

Custom AI models for R&D like L'Oréal’s show how niche solutions beat generic ones in data-heavy industries. 

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Jared G.

Director of Engineering at Google | Cloud Infrastructure & Distributed Systems Leader | Kubernetes, AI & API Platform Expert | 20+ Years of Engineering Leadership

2w

"Wow, this partnership between AI and beauty is a game changer! The focus on smarter product formulation and sustainability is so exciting. It's amazing to see how technology can not only enhance product development but also make a real impact on the environment. Can't wait to see what other innovations come out of this collaboration! 💡✨"

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Tanisha B.

Student at Delhi University

2w

Love this

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