References and Showcases from Ginkgo Analytics

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AWS
Azure
GCP

Predictive Maintenance PoC

IoT data analytics platform as a proof of concept containing state-of-the-art predictive maintenance algorithms. Developed during the Wind Energy Hackathon 2018 within 2 days and based on server-less technology and Python.

Image Recognition

Technology demonstration: Image recognition service implemented using Inception V3 model implemented in Keras and Flask and served on AWS.

Voicebot

Technology Demonstration: Conversational Chat and Voice Bot talking about Ginkgo Analytics. Implemented with Amazon Lex, Transcribe and Polly.

Airbus AI Challenge

Unsupervised anomaly detection of sensor data from helicopters, implemented using a single class support vector machine algorithm (scikit-learn) and deployed with dash frontend on AWS cloud service.

Emotion recognition

Technology demonstration: Emotion classification using the Google Vision API. The front end is built in Python and deployed on a virtual machine the Google Cloud.

eCommerce Dashboard

Visualization of eCommerce data in a dashboard to show incoming orders, revenue und marketing performance. Implemented in ElasticSearch and Kibana, hosted on AWS.

Sales Cockpit PoC

Identification of best matching cars from online customer behavior for a leading car manufacturer.

Railway Dashboard

Dashboard for interactive analysis of geospatial IoT Data enriched with legacy systems data, enabling traffic planning users to better analyze and understand the dynamics of traffic flows, delivered to a leading European logistics company.

Human Protein Image Classifier

Automated biomedical image classifier to identify proteins in microscopic cell images, using DoG blob detection, convolutional neuronal network and a final innovative dense net architecture.

Want to know more? Schedule a demo!

Steffen Maas