MACHINE LEARNING
Artificial Intelligence

Generative AI
Fundamentals
IBM

Generative AI for
Product Managers
IBM

Digital Transformation
Using AI with Google Cloud

AI & the Illusion of
Intelligence
Copenhagen
Business School
The AI Ladder
To turn AI aspirations into outcomes, companies should follow a structured approach, referred to as the "Ladder to AI".
This approach involves four key steps:
-
Collect: Gather and make data simple and accessible, focusing on the models needed.
-
Organise: Create a business-ready analytics foundation to support AI models.
-
Analyse: Ensure data is trustworthy and transparent, allowing for explainable, unbiased and accurate AI outcomes.
-
Infuse: Operationalise AI across the entire business to unlock its full value.




ML Ops
MLOps (Machine Learning Operations) is a set of practices and tools designed to streamline and automate the development, deployment, and management of machine learning models in production. It integrates machine learning with traditional DevOps practices to ensure that models can be reliably trained, tested, deployed, monitored, and updated over time.

