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.
Taking Smart Manufacturing “Back to The Future”
What does the future look like in a smart factory in the pharma or biotech industry? We believe a smart factory is a digitally transformed facility and operation that is reaping the benefits of increased productivity. In fact, some experts predict an order of magnitude productivity gain! It is this productivity gain we need to aim and think about when talking digital transformation, it is the vision and the clear long-term goal. And yes, it is super important because with a clear goal it is easier to prioritize which technology to try first and where or what to digitally transform first, in other words, the strategy.