At Mann+Hummel, we combine intelligent technology with our filtration expertise to strengthen our position as a market leader.
This talk will focus on a few productionised AI solutions developed at Mann+Hummel utilising:
- data from IoT-based filter monitoring systems integrated with our water and air filtration products, as well as,
enterprise datasets to drive digital transformation initiatives within Mann+Hummel.
Key Takeaways
- the benefits of productionising deployments of enterprise-grade AI solutions,
- first steps towards data monetization and data product development,
- the key role played by internal and external stakeholders as part of the development lifecycle.
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Bio
Sreekanth Raghunath – Data Science Lead | Mann+Hummel | Singapore
Seasoned technical leader with over 5 years’ experience in data science & data solutions, and over 15 years’ experience in a variety of strategic technical consulting and leadership roles in industry and academia. Maintains a keen interest in employing state-of-the-art tools to solve complex engineering problems. Currently working as a Data Science Lead at Mann+Hummel, driving several digital transformation initiatives within this multi-national manufacturing enterprise. Some of the main areas of current focus include developing data-driven solutions to problems relating to demand forecasting, inventory optimisation and predictive/prescriptive maintenance of industrial machinery. Holds a PhD in Engineering from The University of Queensland, Australia.
Stage 2
Sreekanth Raghunath – Data Science Lead | Mann+Hummel | Singapore