Webinar on demand
Democratize Machine Learning for Operations – Introducing MLHub
hosted by TrendMiner
Duration: 58 minutes (50 minutes presentation + 8 minutes Q&A)
Machine Learning projects have long been the realm of the central data scientist groups. They solve great use cases, but due to their success they are overloaded with projects and the production sites are seeing improvement potential left on the table.
So what if you could put the power of Machine Learning in the hands of all operational experts? And what if you could improve collaboration between the central group and local sites and solve more and more complex use cases to exceed your business goals?
In this webinar we will show how you can bridge the gap between operations and central data science groups by simplifying the creation and deployment of machine learning models to solve more and more complex operational use cases.
About the Speakers
Nick Van Damme is the director of products at TrendMiner and is responsible for translating the vision of TrendMiner into the product roadmap. He is passionate about using advanced analytics, big data and manufacturing intelligence to support digital transformation, Industry 4.0 and internet of things (IoT) initiatives.
Eduardo Hernandez holds a Bachelor of Science in Chemical Engineering from the Polytechnic University of Puerto Rico and a Masters of Science in Chemical Engineering from the University of Houston. Prior to joining TrendMiner as a Data Analytics Engineer, Eduardo held roles as a Production Engineer and Engineering Specialist at Olein Recovery Corp and Pratt & Whitney, respectively.