Digitalisation & AI
Efficient harvenest
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Digitalization and Artificial Intelligence (AI) are revolutionizing industries by transforming how businesses operate and innovate. Through the power of AI, companies can analyze vast amounts of data, automate processes, and uncover insights that were previously unimaginable. Digital tools enable more agile and efficient operations, from product design to customer engagement. The integration of AI into digital platforms not only accelerates decision-making but also enhances the ability to predict trends, personalize experiences, and optimize resources. Embracing digitalization and AI is essential for organizations aiming to stay competitive, drive innovation, and create smarter, more responsive solutions in an increasingly digital world.
Industry News and Trends
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At Henkel, the AI database Albert is a cultural revolution.
Henkel's "Albert" represents a revolutionary shift in how the company manages and utilizes knowledge within its Adhesive Technologies division. This AI-powered, cloud-based system is designed to ensure that crucial research and development data is easily accessible, fostering a culture of transparency and collaboration. By digitizing and centralizing information, Albert enables engineers and product developers to work more efficiently, driving innovation across the company. This initiative is part of Henkel’s broader digital transformation, which also includes personalized products and connected factories, positioning the company as a leader in modernizing traditional industries. Albert is just one element of Henkel's strategy to become more agile and responsive in a rapidly changing market. By empowering its global team of 1,000 digital experts and integrating cutting-edge technologies, Henkel is ensuring that valuable knowledge is no longer siloed but shared across its global operations. This approach is crucial for staying competitive and leading in the digital age, where continuous innovation is key to success.
More information:
Applications of AI and machine learning on critical materials used in cosmetics and personal care formulation design
The applications of artificial intelligence (AI) and machine learning (ML) approaches are rising in formula optimization, ingredient selection, performance prediction, and structure-properties analysis in formulated product development for the cosmetic industry. The present review aims to give a critical discussion regarding how AI and ML assist in the development of key component materials used in cosmetics and formulated products including surfactants, polymers, fragrances, preservatives, and hydrogels. Hydrogels are reviewed here as a promising candidate to open a new frontier for the future cosmetics and personal care product industry, due to their excellent biocompatibility, excellent drug-delivering ability, and high water content.
We also discuss the use of ML for formula optimization and hazardous ingredient detection such as sensitizing and allergic components. All the research publications reviewed in the present work are accomplished in the past 4 years to reflect the current research trends and progress in ML-assisted advancement in cosmetics and personal care product development.
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Merck: Harnessing AI To Speed Up Drug Formulation
Predictive Formulation: How AI Can Solve Solubility Issues | Merck (merckgroup.com)
How to Start Innovating with AI:
1. Leverage AI for daily operations - Implement AI solutions tailored to your company's needs, ensuring data privacy and security.
Operate more effectively:
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40% higher quality work
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12.2% more tasks completed
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25.1% faster task completion
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​​​​​​​​​​​2. Development of R&D database:
Begin building a comprehensive database that includes your unique recipes and formulations, optimized through AI-driven insights.
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Examples of platforms for chemical databases:
