Embed Size (px)
Citation preview
Automated Quality Assurance with Edge ML
Nicholai Stålung DATA SCIENTIST, TRIFORK
[email protected]+45 22598127
Table of Contents
Artificial Intelligence and Machine Learning
Cloud Machine Learning
Edge Machine Learning
Velux Quality Assurance
100EURm
Revenue 2019E
Trifork In Numbers
16EURm
EBITDA 2019E
19 %
5-year revenue CAGR
16 %
EBITDA margin 2019E
10Countries
45Business Units
676Employees
*
* As of ultimo June 2019, and excluding employees in Trifork Lab companies. Number of FTEs: 654. If including Trifork Lab companies (where Trifork Group holds 5-50% ownership) the total number of employees is: 860.Note: 2019 financials are Target numbers (i.e., not realized)
Table of Contents
Artificial Intelligence and Machine Learning
Cloud Machine Learning
Edge Machine Learning
Velux Quality Assurance
Strong AI“Machines that can think and act in a way that matches or surpasses human intelligence”
Weak AI“Any activity computers are able to perform that humans once performed”
Nils J. Nilsson, 2010; Stanford ML 100 report, 2016.
What is AI/ML?
Optimization and ProductivityML doesn’t sleep and is happy with trivial tasks
Why do we need ML?
InnovationML opens up new opportunities (And challenges)
Scaling demand and CompetitionML changes the business landscape
People▪ Data Engineering and Data Science▪ Domain understanding
How do you build (successful) ML?
Technology▪ Infrastructure▪ Software
Processes▪ Collaboration▪ Change Management
Table of Contents
Artificial Intelligence and Machine Learning
Cloud Machine Learning
Edge Machine Learning
Velux Quality Assurance
World Weather Man
Cloud Machine Learning
World Weather Computer
Cloud Machine Learning
Custom Pre-trained
Cloud Machine Learning
Custom Pre-trained
Cloud Machine Learning
Custom Pre-trained
Cloud Machine Learning
Table of Contents
Artificial Intelligence and Machine Learning
Cloud Machine Learning
Edge Machine Learning
Velux Quality Assurance
“Around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud.
By 2025, Gartner predicts this figure will
reach 75%Gartner, Oct. 2018
World Weather Computer
Edge Machine Learning
Edge Machine Learning
Phones Industrial robots Dedicated chips
2009 2014 2018
Edge Machine Learning
Table of Contents
Artificial Intelligence and Machine Learning
Cloud Machine Learning
Edge Machine Learning
Velux Quality Assurance
QA in manufacturingVelux is a worldwide manufacturer of windows
▪ High quality brand
▪ 27 production facilities in 10 countries
▪ Defect rate
▪ Classification of errors (Downstream)
▪ Critical time in production process (Upstream)
▪ Defects after assembly are costly
Manual Quality Assurance
Version 1 - Assisted Quality Assurance
Version 2 - Automatic Quality Assurance
Azure Stack Edge
▪ Accelerated Machine Learning at the edge
▪ Flexible Device
▪ Contains 2 Nvidia Tesla T4 GPU’s
▪ 90x faster than a normal laptop
▪ Up to 16 computer vision models in parallel
Hardware is a necessity (as always)
Industry 4.0
▪ Edge ML can power a new generation of industrial robots
Technology is available
▪ Most people have the computing power right in their pocket
Compute where data is generated
▪ In the future most industrial data is generated outside datacenters
Less risk
▪ Edge AI embeds performance, security and less operational costs
Key Takeaways
Thank You
