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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Managing Generative AI Projects
Not stopping at merely utilizing apps like ChatGPT, many companies are building, or exploring the possibility of...
What is an AI Product Manager?
As artificial Intelligence transitions from merely research endeavors into practical use cases for mainstream...
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...
OSEMN Data Science Life Cycle
Different data scientists have different processes for conducting their projects. And different types of projects...
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...
What is a Data Science MVP?
By their nature, data science products are risky. Building a Data Science MVP can reduce that risk by focusing the...
The Machine Learning Process
The machine learning process defines the flow of work that a data science team executes to create and deliver a...
What is the Data Science Process?
A data science process can make or break a team. Indeed, we see time and time again that many of the reasons behind...
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)…
What is SEMMA?
The SAS Institute developed SEMMA as the process of data mining. It has five steps (Sample, Explore, Modify, Model,...
KDD and Data Mining
What Is the KDD Process? Dating back to 1989, the namesake Knowledge Discovery in Database represents the overall...
