Discover our collection of resources, where AI & Data experts share their knowledge and explore topics driving Chemical Industry innovation.
Our latest articles on chemicals
Data-driven companies experience remarkable benefits. According to Tableau, they witness a 35% increase in employee retention and a 40% improvement in time-to-market. But what does it truly mean to be data-driven?
When it comes to implementing AI, one of the biggest obstacles for companies is not the lack of technical infrastructure or cost concerns. The main challenge is choosing the right business use case. So, how do you choose the right one?
Generative models became popular for producing art images or text, however, they can also be applied to anomaly detection. With their ability to learn from unlabeled data, these models offer a powerful solution to tackle complex datasets and enhance real-time detection.
Talking about AI, Data, and ML
Many companies struggle with bringing machine learning models into production. What's holding them back? Lucas Nottaris, Associate Principal at Visium walks the audience through the main reasons most AI initiatives fails and how to avoid them.
Watch the joint presentation by Roche and Visium with Matteo Togninalli and Vanessa Schumacher about how Machine Learning can reduce bottlenecks in drug clinical trials and help upskill digital pathologists.
In this video, Philippe Glénat, VP of Digital Lab at dsm-firmenich, and our CTO, Timon Zimmermann, present how we created the world's first AI-generate flavor and AI-enabled fragrance. The AI model, capable of generating flavors and perfumes from a palette of over 4000 ingredients, reduced the time to market by up to 50%.
