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AI in manufacturing (#AIFightsBack series)
Watch on YouTube: https://youtu.be/8CJb14vMXjw
You have been hit particularly hard during these times. In this webinar Steph will focus on a set of practical ways to help you cope. Learn how AI can save you time and money in manufacturing, from optimising processes, predicting maintenance, or enforcing quality control.
AI is already having a significant impact on manufacturing and those who are getting it right will reap real benefits. It’s estimated that there is a 4-10% EBITDA increase from predictive maintenance AI solutions alone. AI is set to become a key differentiator in manufacturing processes, and you need to stay ahead of the competition. This webinar will give you robust practical insights and real use cases.
# Overview of AI
## What is AI?
> AI is just whatever computational task is hard to achieve right now. If it’s become “off-the-shelf”, it isn’t AI.
(A cynical view)
## AI performs “cognitive” tasks
- Reasoning: Learning and forming conclusions from imperfect data
- Understanding: Interpreting the meaning of data including text, voice, and images
- Interacting: Engaging with people in natural ways, such as speech
## ZEISS Investments
ZEISS call out AI in Healthcare and Manufacturing, especially quality control as key technologies they are looking to invest in as part of their corporate strategy.
# Key areas of AI
## Expert systems or data-driven?
- Understands domain
- Has already learnt rules or developed them
- Can provide rules to handle the future
- Represents the domain
- Includes past processes and consequences
- Assumes future is like the past
## Machine learning & data science
- Arificial Intelligence – Cognitive functions
- Machine Learning – Learning from data
- Deep Learning – Adaptive learning from data
## Robots may be AI
- Does it do the same thing every time?
- Can it handle variation?
- Does it “see” and vary it’s actions based on inputs?
- How autonomous is it?
# AI usecases
- Quality control
- Generative design
+ Stock forecasting
+ Supply chain analytics
+ Demand prediction
+ Predictive Maintenance
+ Process control & optimisation
+ Recruiting automation
+ Automated accounting
+ Asset allocation
+ Reporting and forecasting
+ Robotic Process Automation
+ Accessible Meetings
## Quality control
- Use data to uncover signals that lead to poor output
- Monitor for signals and identify products for QC
- Use AI to perform some or all QC checks