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 

Neural Networks
Speech and text
Machine Vision
Classification
Prediction
Robotics
Goal Driven Systems
Planning Schedule Optimization
Image Recognition
Machine Learning
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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.

Discover Deepsense 

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  • DeepSense, Dalhousie University, 6050 University Avenue, Halifax, NS B3H 4R2, Canada
  • +1-902-497-2448
  • info@deepsense.ca