You’ve embraced Industry 4.0 but you know there are deeper insights waiting to be discovered. You’ve got strategy and implementation teams working to define and deliver what you hope and expect is real business impact. You already know that collecting data is only step one – turning it into actionable insights is the goal.
True innovation is often found at the intersection of Business, Science, Technology, and People. Leaving just one of these out creates an imbalanced, non-optimized result.
“Winning” in chemicals goes by many names: improving throughput, optimizing production, reducing operating costs, reducing the occurrence and cost of downtime from control fault events, the list goes on. No matter the name, you need to know the rules and you need to discover what matters.
For example, modeling and simulation can be used to increase the solution set for reaction experiments. Real factory data for thermal decomposition, process variability, and more can be fed back into the model to improve the simulations and the simulations can suggest better decisions on the factory floor.
Speaking the language of science is mandatory to unlocking hidden value. So is getting access to and insights from the masses of data in your data historian. There is a process that starts with collecting data and ends with actionable insights – the complex becomes possible when the right people and technology work together.
You need scientific understanding of the raw data, you need a robust data architecture to work with the data, and you need a vision for possible solutions.
Solving hard problems is the nature of chemical development and production. When science and mounds of data get involved, the problems get even harder. The good news is that when you solve really hard problems, you get a major business advantage.
Artificial Intelligence and Machine Learning are prime examples of impact technologies. Don’t let someone tell you AI will solve all your problems, it won’t. But when applied correctly with care to the right business problem, the results are truly magnificent. AI will help you see new possibilities, it will speed up the discovery process, and it will deliver hard to reach solutions.
New technologies require new skills. You’ve got smart people. They have your values, they know your process, and they are ready to tackle new problems – now train them to command AI.
IBM projects 2.7 million job openings for data scientists by 2020. Training your people is the only scalable solution. You create business opportunity when you optimize your people.