Iris Data Science is a data science and machine learning business specialising in predictive analytics and providing the ‘Big Data’ advantage
About Us
We are a data science business, leveraging machine learning, ‘Big Data’, artificial intelligence and the power of predictive analytics to bring you actionable intelligence.
Iris Data Science is a company providing services in statistics and machine learning, machine vision, AI, big data and information technologies to help businesses become more efficient, enable better decision making and solve particular challenges using their data.
We achieve this by offering to our clients predictive analytics solutions (prediction, forecasting and optimisation), data visualisation and insights (report generation, graphs and dashboards) and decision support tools (decision models, change detection, early warning systems, hypothesis testing, machine vision) underpinned by the IT infrastructure and software necessary to deploy these solutions (databases and data management, networking and data transfer, GIS, web visualisation).
Currently we are focusing on deep learning technologies, applied mainly in the agricultural, environmental and health sectors. Deep learning can provide improved accuracy over traditional machine learning and statistical techniques because of automatic feature engineering and better handling of spatial hierarchies of patterns in the data, but it requires careful diagnostics to validate the predictions and ‘open the black box’. Our expertise with deep learning can help to produce the best results, supported with robust testing and confirmation of results. We make heavy use of cloud computing resources and technologies (AWS).
We are also involved in health research, data and models via a partnership between Iris Data Science and Inquisit – two established businesses combining to deliver smart health solutions, with a focus on AI.
Iris Data Science started in Dunedin in 2013 and is currently a team of six, with use of experts through contracting and students.
We have experience with the following sectors:
- Agriculture
- Education
- Environment
- Health
- Genetics
- Geology and Geophysics
- Government – central and local
- ICT – various
- Manufacturing
- Sports
- Tourism
- Traceability and food safety
- Urban – planning management
- Various Technologies – Internet of Things (IOT)