Data Science and AI Project Management Blog
The most comprehensive set of resources to help you better deliver data science and AI initiatives
7 Core Functions of a Data Product Owner
Organizations are sitting on a goldmine of data. But how do you unlock the true value of this data and transform it...
What is an AI Program Manager?
The potential of AI to transform industries and societies is undeniable. However, bridging the gap between...
The GenAI Life Cycle
The GenAI life cycle delineates the steps for creating AI-based applications, such as chatbots, virtual assistants or...
AI Product Owner
As AI seamlessly integrates into more products, a new breed of product owner is emerging – the AI product owner....
What is an Analytics Product Manager?
In today’s data-driven world, an Analytics Product Manager plays a pivotal role in bridging the gap between data and...
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...
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...
What is the AI Life Cycle?
In the rapidly evolving world of artificial intelligence (AI), project management can be as complex as the...
What is an AI Product Manager?
As artificial Intelligence transitions from merely research endeavors into practical use cases for mainstream...
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 Roles – A Definitive Guide
Gone are the days of a “lone wolf” data scientist filling all the roles in data science. Rather, today’s teams have...
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...
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...
8 Free Data Science Ethics Courses
The rise of big data and data science is already having a significant positive impact on our lives. However, there are...
Achieving Responsible AI
Machine learning predictive models are often used in data science projects. These models often deliver significant...
The Project Manager in Data Science
Data science is an exciting field that can impact nearly all industries and many facets of daily life. Yet in...
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...
Managing Data Science Projects at the National Innovation Centre for Data
The following is an interview between Nick Hotz and Dr. Matthew Edwards. Dr. Matthew Edwards Organization: National...
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)…
15 Data Science Documentation Best Practices
There’s no single data science project documentation recipe. Rather, your documentation needs will vary by project,...
Tips for Hiring a Data Science Manager
Do you need a data science management recruiter? In this post, I’ll explore how to hire a data science manager and if...
9 Pieces of a Data Science Strategic Plan
A data science strategic plan isn’t just about data. Rather, it is a comprehensive plan that defines how you build and maintain an ecosystem that delivers sustainable value from your data science investments.
Developing this plan is not easy. So why bother?
Well, without one, you could be steering down a path without knowing where it is going…
6 Actions to Be a Better Data Science Manager
Are you a new data science manager? Or a data scientist who wants to become a data science manager? Or, perhaps, a manager who wants to start managing data science teams?
If so, welcome to the world of data science management…
The Data Science Project Checklist
What do flight attendants, surgical teams, and successful data science project managers have in common? They all use a...
Data Science Management: 5 Key Concepts
The rapid increase in the number of data science projects and teams is driving an increasing need for data science...
What is SEMMA?
The SAS Institute developed SEMMA as the process of data mining. It has five steps (Sample, Explore, Modify, Model,...
What is Machine Learning Operations?
Machine Learning Model Operations is a multidisciplinary field that is gaining traction as organizations are realizing...
Managing AI projects: 6 Concepts to Help Lead an AI Team
The importance of AI project management, or more specifically, managing AI projects, is highlighted by a survey...
Data Analyst vs Data Scientist
Often, we get asked: “What’s the difference between the data analyst vs data scientist role”? Indeed, the roles have...
Project Management for Data Analytics
This post will explore managing analytics projects by focusing on three questions: What is the difference between a...
Data Driven Scrum
Data Driven Scrum™ (DDS) is an agile framework specifically designed for data science teams.In short, DDS aims to...
KDD and Data Mining
What Is the KDD Process? Dating back to 1989, the namesake Knowledge Discovery in Database represents the overall...
What is a Data Science Life Cycle?
A data science life cycle is an iterative set of data science steps you take to deliver a project or analysis. Because...
Why Big Data Science & Data Analytics Projects Fail
The Boston Dynamics humanoid robot tripping over a curtain and tumbling off stage? A prediction model that tips a...
Managing Machine Learning Projects
Machine Learning Project Management is of growing importance If you are leading machine learning projects, you have...
How to Lead Data Science Teams
It’s an understatement that great leadership is challenging and rare. And leading data science teams has unique...
CRISP-DM is Still the Most Popular Framework for Executing Data Science Projects
During the past few months, we conducted a poll to see what project management framework teams used to help execute...
What is a Data Science Workflow?
A data science workflow defines the phases (or steps) in a data science project. Using a well-defined data science...
Data Science vs Software Engineering
Data Science vs Software Engineering isn’t really a battle. Rather these are two somewhat overlapping and...
The Data Science Process
Three steps to define an effective data science process Conceptually, a data science process explains and defines how...
CRISP-DM for Data Science Teams: 5 Actions to Consider
While there is no standard process for a team to use when working on a data science project, CRISP-DM (CRoss-Industry...
5 Keys to Improve a Remote Data Science Team
Many data science teams now have at least some team members working remotely. However, many managers are not used to...
What is a Data Science Product Manager?
AI and data science are transitioning from theoretical concepts to tangible solutions for businesses of all sizes and...
8 Key Data Science Team Roles
Based on my personal experience, below are the 8 key data science team roles to think about when building and leading...
Data Science Project Roadmap Example
Various process models and frameworks such as CRISP-DM, TDSP, Domino Data Labs Life Cycle, or Data Driven Scrum...
What is Agile Data Science?
Exploring how to “do” agile data science
Data Science Team Structure
Should you have a centralized data science team or several decentralized teams? There are numerous options for a...
10 Data Science Ethics Questions
While the potential ethical issues that might arise when using data science and artificial intelligence have certainly...
10 Data Science Project Metrics
Ironically, data science teams that are so intensely focused on model measurement often don’t measure their own...
Data Driven Agile With Data Driven Scrum
When teams try to have a data driven agile approach, they often try to use an existing framework, such as Scrum or...
Vertical vs Horizontal Slicing Data Science Deliverables
Traditional software approaches favor developing software layer-by-layer (horizontal slicing) while software agilists...
10 Questions to Ask Before Starting a Data Science Project
Data science projects are challenging. To increase your odds of success, start them by asking several key data science...
Lessons from 20 Data Science Teams
What can you learn if you observe data science teams across 20 large companies? I asked Mac Steele, Director of...
This blog ain’t much but Isaac Newton would like it
At the time of posting this, this blog has a generic template, broken links, no logo, only one post, and is...
Domino Data Science Life Cycle
The Domino Data Science Life Cycle is a modern life cycle approach. Domino Data Lab, a Silicon Valley vendor that...
Data Science Methodologies and Frameworks Guide
The Need for Data Science Methodologies and Frameworks The field of data science has matured greatly in the past...
What is TDSP?
Team Data Science Process If you combine Scrum and CRISP-DM, you will get something that looks like Microsoft's Team...
Research and Development
What is a Data Science R&D Approach? The data science process can be viewed as a research endeavor that...
Bimodal: Agile-Waterfall
Agilists juxtapose waterfall as the antithesis of agility. However, Eric Stolterman, Senior Executive Associate Dean...
Kanban for Data Science
Kanban, which literally means billboard in Japanese, started as a supply chain and inventory control system for Toyota...
Scrum for Data Science
Scrum Process Diagram (Wikimedia Commons, 2008) Given Scrum's popularity with software teams, it's no surprise that...
What is CRISP DM?
The CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model that serves as the base for a data...
What is Waterfall?
Waterfall, also referred to as the classic life cycle or traditional project management, originated from manufacturing...
Ad Hoc Data Science
ad hoc (adv) - "for the particular end or case at hand without consideration of wider application" -Merriam Webster...
Hybrid Approaches
Without well-known, comprehensive project management approaches specific for data science, teams often combine...
Agile Data Science
Conceptually Agile and data science are a great match. Most notably, both Agile and data science emphasize the same...
