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:
- Computer Vison,
- Natural Language Processing (NLP),
- Spotting trends in tabular datasets,
- 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:
- Computer Vison,
- Natural Language Processing (NLP),
- Spotting trends in tabular datasets,
- 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.