Cost effective process needed for diagnosing X-Ray scan images
Solution
Pro-bono research work to develop a predictive model for the diagnosis
Impact
92% of accuracy
Model published -> available for researchers
Augmented reality microscope
Customer
MedTech company
Problem
Product development of a digital microscope scanner with augmented reality features
Delineations need to be created around areas of cancerogenous cells
High resolution images (1px = 2 micron, 400 Mpix)
Delineations ready below 5 secs
Solution
Pixel-wise predictions
Choice of hardware and software architecture for the inference
Impact
AI contribution to the product development (TensorFlow, Keras, ConvNets, fully-convolutional network)
Patient data classification
Customer
US pharma producer
Problem
Difficulties to identify the patients eligible for the particular treatment, based on narrow criteria in the free text patient records
Solution
PoC to create a way to look up patients meeting the particular criteria using pattern matching and machine learning so that they can be qualified for treatment
Impact
The eligible patients will receive the treatment they are eligible for
Time saving compared to a manual lookup
Data driven production line optimization
Customer
Swiss division of Global Pharma
Problem
Running out of production capacity, significant CapEx investment needed in the new production line to keep up with demand
Goal: increase the production capacity by 5% via advanced analytics
Solution
Data integration
Anomaly detection algorithms
Data correlations -> insights -> recommendations
Impact
Trending towards 11% of productivity increase (throughput and yield optimization)
15x ROI
Production line continuous monitoring
Customer
Swiss division of a Global Pharma
Problem
The customer’s production line went through a data driven optimization, the customer wants to ensure the production line maintains the highest possible OEE and wants to add advanced features like automated issue detection & prediction
Solution
Near real time continuous monitoring system of key production processes with advanced analytics built in (alerting, trend detection, anomaly detection, predictive maintenance)
Impact
Greater production process visibility
Quicker time to resolution
Improved uptime
Production line optimization
Customer
Swiss division of Global Pharma
Problem
Running out of production capacity, significant CapEx investment needed in the new production line to keep up with demand
Goal: increase the production capacity by 5% via advanced analytics
Solution
Data integration, AWS platform
Anomaly detection algorithms
Data correlations -> insights -> recommendations
Impact
Trending towards 11% of productivity increase (throughput and yield optimization)