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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Agile AI
As AI practitioners we would like a blog post exploring some underlying concepts and practical tips of Agile AI. So...
Managing Generative AI Projects
Not stopping at merely utilizing apps like ChatGPT, many companies are building, or exploring the possibility of...
The Data Science User Story
To drive effective data science outcomes, data scientists and stakeholders need to jointly understand the deliverable...
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, Sucheta...
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 Agile Business Intelligence?
Data by itself is often useless. However, by transforming the data into human understandable insights, organizations...
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 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...
Data Driven Scrum
Data Driven Scrum™ (DDS) is an agile framework specifically designed for data science teams.In short, DDS aims to...
