Tag: machine learning
Where are Pharma Companies in the Age of Artificial Intelligence?
They say good things come to those who wait; we say good things come to those who wait but only the things left by the visionaries before them. The pharmaceutical industry has long been known to lag in the adoption of new technology due to strong regulations. Even though regulators have recently begun to open up to several new ‘big data’ or pharma 4.0 technologies - the question remains, if pharma companies are doing the same? In 2016, the European Pharmacopoeia 9.0 in Chapter 5.21 announced that neural networks (NN) and support vector machines (SVM) are valid chemometric techniques for processing analytical data sets.
Data Scientist 4.0 – Bridging the World of Manufacturing and Data
Since the announcement of the 4th Industrial Revolution in 2011, multitudes of emerging technologies have transpired around “Industry 4.0”. Technologies such as digital twins, Industrial Internet of Things (IIoT), and cyber-physical systems have come into the scene as core elements, providing the necessary ingredients for a paradigm shift in manufacturing. Technologies around predictive analytics and artificial intelligence are pioneering new approaches with many use cases including predictive maintenance, autonomous process optimization, and pattern recognition - used to identify potential failures in real-time. Because of this, data science is becoming an invaluable discipline for our industry in order to transform information into knowledge.
Making the Conversation Real – What To Expect From The AI Manufacturing Team At Xavier University
Our co-founder and R&D Director Toni Manzano is a team lead for Xavier University AI in Manufacturing Team where, with the help of FDA officials and industry professionals, they address how the power of AI can be used to optimize manufacturing operations in the life sciences industry.