Using data to focus on the right issues will help drive OEE leading to the optimisation of the facilities performance, resulting in greater productivity and a more sustainable manufacturing footprint. How to interpret and visualise existing data and unlock new data? When it comes to setting out on a digitalisation initiative or a smart factory project, it is important to start with a strategy in place and a pivotal part of that strategy should be to define what we want to achieve. Artificial intelligence and machine learning offer opportunities for increasing business performance, agility, and growth. Business leaders are determining how these techniques can integrate successfully with human intelligence and what they will deliver as they evolve. Despite this, there are questions regarding the ease of implementation, adoption, operation, and trust associated with these types of technologies. What is the current state of artificial intelligence in manufacturing, the challenges and barriers to adoption? What opportunities are offered for manufacturing, to the national net-zero goal? In order to adopt AI successfully, a companywide strategic approach is required, but its widespread adoption is hampered by a lack of a suitable machine learning infrastructure and the need to centralise data. These in turn lead to high costs, privacy risks, and overdependency on cloud platforms and network availability. 14.00 - 15.15 AUDITORIUM
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