IIC Journal of Innovation 6th Edition - Page 8

How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace due to their level of complexity. In the last 5 to 10 years, with the exponential evolution of computing power capabilities following the Moore’s law 5 , and now the Cloud 6 (a set of disruptive innovation for sharing digital capabilities) which is providing services across the world, AI is becoming a reality to use in day to day activities. Of course, this approach can be debatable, but most of the current manufacturing problems are still managed with spreadsheets and human discussions while “simple” and democratized AI tools make decisions more robust, logic, simplified, automated and scalable. their friend networks, their pictures and their movies. All that data has been mixed with transactional data from retailers, credit cards providers and analyzed with AI algorithms to create profiles of interests 7 , intents and behaviors. That also generated the need to create more affordable computing power for computing this massive amount of data shared across the world. This first disruption showed the value of AI and the democratization of the access to the AI outcomes to make business decisions smarter and more accurate. Marketing companies are now using Data Management Platform (DMP) 8 outcomes and consumer profiles to define their offering targets. They finally trust the work done by data scientists specialized in consumer classification to use the outcomes. Now, replacing the social network digital wave, the new digital revolution is coming from the Internet of Things (IOT) + AI and makes AI more relevant for the manufacturing domain. AI IS N OW A M ATURE T ECHNOLOGY FOR THE D IGITAL T ECHNOLOGY D ISRUPTION FOR M ANUFACTURING The AI disruption is not new. It already happens in some business domains such as banking, advertisement and marketing. A few years ago, the first large-scale, data capture disruption wave was the social network which brought a massive amount of data from people, their lives, their interests, 1. The Industrial IoT (IIoT) 9 , the new data capture disruption wave – Connecting 5 ttps://www.intel.co.uk/content/www/uk/en/silicon-innovations/moores-law-technology.html 6 https://en.wikipedia.org/wiki/Cloud_computing 7 https://www.salesforce.com/blog/2017/09/use-ai-to-create-human-experiences.html 8 Data Management Platform: It’s a piece of software that sucks up, sorts and houses information, and spits it out in a way that’s useful for marketers, publishers, and other businesses (digiday.com - https://digiday.com/media/what-is-a-dmp-data- management-platform/) . 9 Algorithmically deriving insights from aggregated data, and/or applies machine learning to allow insights to bubble up, eliminating the inherent biases that algorithms entail (Forrester - https://reprints.forrester.com/#/assets/2/177/'RES136171'/reports ) IIC Journal of Innovation - 7 -