Incubator

Our Incubator projects are aimed at helping you compete.

  • Do you have a Concept to make your Business run Better, Faster, Simpler, Cheaper ?
  • Do you have a Concept for a new Product ?
  • Do you have a Concept for a new way to serve your Customer ?

 

Watch the video below to get a quick overview of our Incubator Programme.

Plan

We work with you to Create a Project Plan with Clear Deliverables & Milestones

We track progress with you in a bi-weekly Project Review Meeting

Analyse

We work with you to identify Patterns in the data, leading to a better understanding of Process Controls

We review the Patterns to generate Options for better performance

Improve

Depending on the type of project, we make recommendations on what Technology to deploy to achieve you Concept

  • Prediction Algorithm
  • Analytics Service
  • Expert System
  • Robotic Process Automation
  • Computer Vision
  • Factory Floor Robots
  • Real-Time Measurements

Overview Of  The Incubator Project

Developing a Data Strategy & Defining a Data Problem (W1 & W2)

  • How to develop a data strategy that aligns with your company’s overall goals.
  • The role your data should play in your business.
  • Common types of business value delivered by AI (i.e., increasing sales, reducing customer acquisition, demand forecasting).
  • Identifying the Cost, Risk and Business Value of an AI Project.

Data Gathering – Good v Bad Data (W3)

  • Why most data is bad and the problems that can cause.
  • Good data is collected with a purpose in mind.
  • Small datasets can be adopted to help develop out concepts and see initial results.
  • Data needs to be representative of what your AI model will see in deployment.

W4: Design Thinking

  • Gather Insights
  • Frame the Problem
  • Ideate
  • Prototype
  • Test

Types of AI Models (W6)

This workshop provides a overview of the different types of AI technologies available and their use cases, such as:

  1. Computer Vison,
  2. Natural Language Processing (NLP),
  3. Spotting trends in tabular datasets,
  4. Edge AI.

Data Processing: Feature Engineering & Data Labelling (W7)

This workshop provides a overview of the different types of AI technologies available and their use cases, such as:

  1. Computer Vison,
  2. Natural Language Processing (NLP),
  3. Spotting trends in tabular datasets,
  4. Edge AI.

Data Infrastructure for AI Solutions (W8)

This workshop provides an introductory view of the IT components required to implement data & AI solutions.
Looking at:

  • How data is collected across your business (i.e., digital platforms, REST APIs and IOT devices).
  • Preforming analytics in the cloud or on a device.
  • Processing live data.
  • Managing your data storage.
  • Pulling it all together as a microservice.

W9: Incubator Projects

Providing an overview of the projects going on in the incubator, helped participants understand their own solutions better.

Training, Evaluating and Maintaining an AI Model (W10 & W11)

  • What are the difficulties you’re going to encounter when training an AI.
  • How to monitor your AI as it’s learning so it can be tweaked to produce the best business value.
  • Monitoring the performance of your AI after it’s deployed to identify when behaviour of your data start to change and the business value of your solution begins to diminish.
  • How off-the-shelf tools can help you get started with monitoring your data from day one.

Identifying an Incubator Project in your Enterprise

Our Incubator projects are aimed at helping you compete.

 

  • Do you have a Concept to make your Business run Better, Faster, Simpler, Cheaper ?
  • Do you have a Concept for a new Product ?
  • Do you have a Concept for a new way to serve your Customer ?

Fill the application form to describe your proposed project. This includes making a commitment to have your people directly involved with us on the project.

Click here to complete an Application Form