Ocean Industry
We support ocean related organizations with technology infrastructure and expertise from leading data science and oceans researchers to solve your data challenges.
Many organizations working in the oceans space do not have the opportunity to fully explore Artificial Intelligence and machine learning. DeepSense exists to help companies leverage technology and research to more easily use data to make decisions, optimize operations, and create new products, processes or services.
DeepSense projects come from ocean sectors including Energy, Food, Defence, Transportation, and Tourism.
Using data, we help companies:
Develop commercially useful predictive models
Design and test analytical prototypes and applications
Automate processes
Discover insights in company data
Improve internal operations
Project Areas
Neural Networks
Robotics
Speech and Text
Goal-Driven Systems
Machine Vision
Planning Schedule Optimization
Classification
Image
Recognition
Prediction
Machine Learning
Project areas
Project Approach
We work with companies with varying levels of data maturity. Whatever your current situation, every DeepSense project is customized to align with your unique business strategies and goals.
Strategic Design
Review current opportunities
Determine fit for Artificial Intelligence and machine learning
Complete Artificial Intelligence/machine learning canvas to determine target predictions, learning required and method for evaluating success
Create clearly defined and measurable objectives
Determine project feasibility
Review scientific literature
Exploration
Data review and discovery to ensure data quality, quantity and appropriateness for project
Perform exploratory analysis to find patterns and relationships through data queries, data visualization, data mining and statistics
Identify and acquire data, if required
Pre-process data for Artificial Intelligence/machine learning
Modelling
Run experiments to develop a model using historical data
Develop a proof of concept or viable code to optimize a process, product or operations
Production
Support with launching prototype model in production
Assist in determining how best to integrate the model with existing applications
Ensure adequate monitoring and viability once model is live
Tools to get you started
DeepSense Maturity Map
When to use
Companies can map the support available from DeepSense based on their current data maturity.
DeepSense AI Project Prioritization Matrix Template
When to use
This is a high level example to help explore and prioritize data projects. Like any kind of capital investment or time-focused effort, all need to be ranked and prioritized against each other.
Project Prioritization Template
When to use
This template helps evaluate individual AI and machine learning projects to establish clear priorities. Ideally criteria is adjusted to align with organizational priorities and measures.
AI/Machine Learning Model Canvas
When to use
Once priority projects are identified, this canvas will help the team align objectives, data, Engage a range of contributors with focus on domain expertise.
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