The Historian and AI Webinar (AIFightsBack)

Table of Contents

AI for manufacturing has huge potential. As well as clear AI use cases like robotics and automation, the wealth of data being consolidated into industrial time series via historian appliances presents an opportunity for further AI applications. Using the data being consolidated, we can build early warning systems for critical issues, optimise maintenance programs, and improve processes.

Delivered as part of our AIFightsBack series, this is the second AI in manufacturing focused webinar, delivered in association with the Irish Centre of Business Excellence. The next two AI in Manufacturing cover some of the relevant machine learning techniques and how IoT can be used to support social distancing in the workplace.

Video

Slides

The historian and AI from Stephanie Locke

Resources

7 Quick-win AI Projects paper
AI in Manufacturing posts
AI in Manufacturing webinar
Mastering AI in manufacturing: the three levels of competency

AIFightsBack Webinars

AI in Manufacturing (Technical) with Steph Locke
A Journey to Trustworthy AI with Clare Dillon, NewWorks
How to become a Data Science Company with Ashwini Mathur, Novartis
Social Distancing and IoT solutions with Matthew Macdonald-Wallace, Mockingbird Consulting
Data Science versus Privacy - during these Pandemic times with Dr. Iain Keaney, Skellig.aiCheck for upcoming webinars on Eventbrite.

About

AIFightsBack is an online webinar series for anyone in business who needs to learn about how AI can create value and help you come back stronger than ever.  Learn from top-notch data practitioners about core automation tools, growth opportunities and the ‘AI quick Wins’ that you can easily adopt in your business to gain momentum. This series is brought to you by Nightingale HQ - your complete platform for AI adoption.

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What is Azure Batch?

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.

What is AI integration into applications?

AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. Examples of AI features that can be integrated into applications are facial recognition image processing, speech processing and personalised content.

Industry IoT, smart factories and AI in manufacturing

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.