Find expert tips and in-depth guides designed to offer fresh perspectives and proven tactics on using AI & Data to gain an edge in the CPG, Retail, and Luxury Industries.
Our latest articles on CPG
Long gone are the days where you had to buy hardware, create server rooms and hire, train, and maintain a dedicated team to run it. Cloud-based data platforms are the new norm. They offer a more agile, scalable, and cost-effective approach to managing and leveraging data. But does that mean the traditional data platforms are dead?
We're living in what could be the most important century. And at the center of this era is Artificial Intelligence and data science, reshaping all aspects of our lives. So we sat down with Visium's founders, Alen Arslanagic, Timon Zimmerman and Matteo Togninalli, to explore their perspective on the challenges and opportunities of AI adoption and on building a customer-centric and authentic AI and data company.
Traditional data setups, characterized by centralized data lakes and isolated data systems, are proving inadequate in the face of increasing data volumes and evolving business demands. Enter the data mesh paradigm - a decentralized approach that promises to revolutionize data management. However, with any fundamental change, many questions arise. In this case, the key one being: is it worth transitioning to a data mesh?
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.
In his presentation at the Sino-Swiss AI & Big Data Conference, Timon Zimmermann, Visium’s CTO, detailed a project developed for Nestlé which uses AI and ML to monitor and prevent machine breakdowns.
