Manufacturers generate massive amounts of data, yet very few put this intelligence to use. Over the years, most industrial businesses have lagged behind in their IT capabilities and it has cost them.
However, thanks to cheaper computational power and rapidly advancing analytics opportunities, manufacturers can put their data to work, gathering information from multiple sources and taking advantage of machine learning models and visualisation platforms to uncover new ways to improve, innovate and succeed.
The key question is, where to start.
This year’s lively Industrial Data Summit was held in London’s Mary Ward House and saw attendees spend the day rotating between a series of 30-minute roundtable-based conversations, co-hosted by an industry expert and a world-class manufacturer.
This innovative format enabled attendees to take their pick from almost a dozen discussion topics, including: connected product innovation, digital skills, data security, predictive maintenance, and more.
Supporting these discussions were four keynote presentations from digital leaders representing Capgemini, HPE, Microsoft, and University of Cambridge’s Institute for Manufacturing, as well as an expert panel discussion – presided over by Gerard Bartley, global master data manager at international coffee and tea business Jacobs Douwe Egberts.