The GenAI life cycle delineates the steps for creating AI-based applications, such as chatbots, virtual assistants or...
The GenAI Life Cycle
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Data Analytics vs Data Science
Data Analytics vs Data Science – Is there a difference between these two fields? With the explosion of the need to...
Managing Generative AI Projects
Not stopping at merely utilizing apps like ChatGPT, many companies are building, or exploring the possibility of...
What is the AI Life Cycle?
In the rapidly evolving world of artificial intelligence (AI), project management can be as complex as the...
ChatGPT and Data Science Projects
Generative AI, used in Bard and ChatGPT, will provide innovative ways for teams to collaborate and execute projects,...
Data Science Agility: A Benchmark
Do data science teams use (or think they use) an agile data science team process framework? To help find out, my...
5 Aspects to Managing a Data Science Team
To deliver useful data science projects, it is important to effectively manage the data science team. But what does it...
Achieving Responsible AI
Machine learning predictive models are often used in data science projects. These models often deliver significant...
The Data Science Maturity Model
A data science team’s process is a key driver to their projects’ success. However, as will be discussed below, there...
The Machine Learning Process
The machine learning process defines the flow of work that a data science team executes to create and deliver a...
Data Driven Scrum – 5 Key Questions
Data Driven Scrum (DDS) enables lean data science project agility and addresses the key challenges that have been...
What is a Machine Learning Life Cycle?
Explore what is a Machine Learning Life Cycle, and how it compares with a Data Science Life Cycle (by looking at OSEMN and CRISP-DM)…
