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Globally, ‘Industry 4.0’ has been the cornerstone of all industrial trade fairs held in 2016. Industry 4.0 aims to revolutionize manufacturing through advanced computing technologies. This new industrial revolution will introduce inter-connected factories, self-assessing machines and parts that are capable of initiating actions and exchanging information with each other.

Data with analytics is at the forefront of this new manufacturing transformation. Analytics can essentially identify various data patterns, model behaviours of machines and equipment. In this way, we will be able to predict the failures of machines based on the various variables and configurations preset into manufacturing environments. In 2015, Laurent Martinez, Senior Vice President of Airbus’ services business said his company plans to introduce ‘a number of cognitive applications around fuel efficiency, maintenance capabilities and operational optimisation of the aircraft.’ The ‘cognitive computing’ of IBM’s Watson™ will be leveraged by Airbus to create a platform known as ‘Smarter Fleet’.* With more factories adopting IoT, mobility, and analytics to streamline their operations, supply-chain and logistics reduce the downtime and increase productivity wherein the conventional computing systems will struggle to handle petabytes of data that these systems generate. Cognitive computing is the way forward to process and analyse very large volumes of datasets. In order to completely embrace industry 4.0, factories need to leverage the power of cognitive manufacturing by completely utilising data generated across machines, systems and equipment. This data is processed to derive meaningful and valuable insights which can streamline the entire manufacturing life cycle. When we talk about insights translating to huge cost savings and production optimisation, for example it could as well mean saving a few grams of raw material per component manufactured, which becomes a few kilograms every day, and helps save millions a year.

With IBM Watson™ Content Analytics, the Honda R&D team, in 10 minutes is able to analyse over a million documents and highlight examples of driver behaviour. This kind of analysis would be impossible to be performed manually. Honda R&D team use these insights to design safer and connected automobiles.** IBM Watson IoT analytics and Bluemix™ services are the fundamental components of cognitive manufacturing solutions. The combination of IoT, analytics and cognitive enables factories to monitor machinery, improve their asset reliability, enhance quality and predict warranty. By analysing in-context information from workflows and manufacturing environments, effective business decisions can be taken. The ultimate aim is to drive efficiency, quality improvements and reliability across manufacturing processes. To understand ‘How IBM with its set of cognitive manufacturing solutions can help factories transform and scale’, visit us at IBM outthink tour. *https://internetofbusiness.com/airbus-leveraging-iot-and-ibms-watson-for-connected-aircraft/ **http://ecc.ibm.com/case-study/us-en/ECCF-ASC12389USEN

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