Data Centricity: What is behind the AI implementation in Pharma
The so-called Smart Industry also entails a statistical evolution from the classical process under statistical control towards an adaptative process management. Big data is just one of the mechanisms that drives the data to a new worth state mainly based on previous experiences, but AI is the main trigger that shifts the information into predictions, recommendations, classifications and automatic recognitions. Data is not the new oil anymore, becoming the energy that needs to be transformed to get power. How AI and data that produces it can be integrated in the regulated ecosystem? Which is the attitude of the regulators in front of the new way to do statistics? What use cases can be applied ensuring a quick win?
Toni is the co-founder and CSO of Bigfinite, a cloud company that provides big data and AI SaaS platform for the Biotech and Pharma industry. He is also member of the scientific committee of the PDA Europe, Lead of the AI in Operations team for the AI Xavier University and teaches AI subjects at the University (UAB), member of the Science Experts in the Spanish Parliament on big data and artificial intelligence topic. He has written numerous articles in the Pharma field and holds a dozen international patents related to the encryption, transmission, storage and processing of large volumes of data for regulated environments in the cloud.
Toni is Physicist, Master in Information and Knowledge Society and post graduated in quality systems for manufacturing and research pharmaceutical processes.
Bigfinite is a SaaS platform that uses IoT, big data, AI and cloud technologies to provide solutions for manufacturing pharma that today cannot be solved with the current solutions. Bigfinite platform allows users to discover new ways to optimize processes, reduce manufacturing quality issues and enhance regulatory compliance, leading to an ROI within 6 months.
Corporate website: www.bigfinite.com