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June 27.2025

2 Minutes Read

Transforming Legacy Companies: How AI Enhances Rich Data Utilization

AI and the Power of Rich Data in Legacy Companies

The fusion of artificial intelligence (AI) with legacy companies opens a new chapter in how businesses utilize their extensive data archives. Traditionally viewed as the realm of start-ups and tech companies, AI is now catalyzing transformation in established brands with decades of experience. An exemplary case is Unilever, a consumer goods giant that leverages over 100 years of rich data and scientific research to enhance its product development.

The Importance of Adaptation and Learning

For these legacy firms, the key to thriving in a rapidly evolving marketplace is adapting and learning from past initiatives. Unilever illustrates this notion as it transforms its Research and Development (R&D) department into an AI-driven powerhouse. This shift not only modernizes their processes but also taps into their extensive institutional memory, allowing them to innovate while staying true to their heritage.

Making Data Work for You

Achieving success with AI involves more than implementing new technology; it requires fostering a culture that values both legacy knowledge and ongoing learning. This balance is essential in unlocking the potential that lies within long-standing companies. Firms like Unilever, with expertise in consumer insights and robust data stewardship, are well-positioned to explore new avenues that AI technology offers.

A Future Fueled by Innovation

As companies like Unilever adapt to a future shaped by AI, the question becomes: how can they continue to innovate responsively? From supporting skin health to designing sustainable products, large firms will leverage AI to not just keep pace with market demands but also to define them. By remaining flexible and embracing new methodologies, these organizations can pioneer advancements that harmonize business growth with consumer well-being.

Would you like to clarify your Brand? Embracing the power of AI while respecting heritage could be the key to your company's next breakthrough.

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Transforming Legacy Companies: How AI Enhances Rich Data Utilization

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