Sitemap - 2022 - High ROI Data Science
The Data Product Manager’s Role And Supporting Frameworks
2023 Subscriber Benefit Updates
We Need A Framework To Achieve Our Goals On Uncertain Mondays
Advice For Creators: Handling Trolls And Negativity Online
How Do You Explain Leadership On A Resume?
Does ChatGPT Discover Causal Relationships, And What Does That Mean For AI’s Future?
Mondays Are The Perfect Time To Support Great CEOs And Leave Failed Leaders
AI Won’t Be Worth Much Until We Build Products For People VS Tasks
Stupid Users And The Need For Data Product Managers
The Car’s In The Shop This Monday
AI Strategy KPI: Replacing Time To Market With Time To Value
Where Will We Be In 52 Mondays?
Developing And Evolving A Data Organizational Structure To Meet Business Needs
The Thin Line Between DS And BS
I Didn't Go To College Just For Mondays
Is Elon Nuts Or Should We Be Taking Notes?
Data Science’s Adapt Or Die Monday
What Mark Zuckerberg Can Teach Us About Selling Data Science Initiatives To C-Level Leaders
Something New. Quick Takes & New Subscriber Benefits.
Data And AI Product Manager Course
Advice For Senior ICs And Leaders To Navigate An Uncertain Job Market
Monetization For Creators Part 2: Selling Your Products And Services On Social Media
A Learning Path For First-Time Leaders
What's The Difference Between An Audience And A Community?
The Innovation And Research Mindset
3 Sales Tactics That Will Increase Your Resume's Response Rate
The Advantage Of Strategy Over Tactics For Achieving Goals
Why Many Startups Plateau And Struggle To Maintain Their Early Growth Rates
How I Ask Questions To Make Better Business Decisions
Data And AI Strategies Must Meet Businesses Where They Are. Here's How I Do That.
What I Ask To Understand How Users Will Interact With My Data Products
Using The '5 Whys' Framework To Understand User Needs
What I Use Instead Of Coding Interviews For Data Science Candidates
Lessons From 7 Years Build Data And AI Strategies
How To Find Out If A Company Is Mature Or Dysfunctional Before Taking A Role
The Difference Between A Data Strategy And An AI Strategy
Track Data Science Initiatives And Impacts
7 Data Science Truths That Changed My Career
Examples Of The 2 Main Data Product Types
How Machine Learning Accelerates The Speed Of Business
Connecting Incentives To Business Outcomes For Data Teams
What To Consider Before Using Machine Learning Approaches To Solve A Business Problem
How Startups Can Use Data Products For Revenue Growth
Writing Better DMs And Emails To Land A Job
Actionable Data Strategy Does 3 Things
Advice About Building A Data Science Learning Path
My Consulting Services Sales Meeting Format And Pitch
5 Things Your CDO Wishes You Understood
8 Tips To Create Content Faster
6 Tips For A Customer Centric Data Product Strategy
7 Overlooked Success Factors Of A Model Path To Production
How To Handle Being Asked To Come Back After Being Laid Off
Challenges For Data Scientists Transitioning From Big Tech To Traditional Industries
My Advice For Data Science Interview Prep
Data And AI Strategy Implementation Roadmaps I Use
My Framework For Building Data And AI Strategies
4 Barriers To Landing Your First Data Science Role
8 Step Framework To Recover From Setbacks
Monday Needs Partners To Succeed
What Does Data And AI Strategy Create, Add, And Solve For Businesses?
How Much Do You Really Trust Your Models? Here's How To Find Out
How To Build A Social Media Following On Multiple Platforms, And Why You Must
A Balanced Approach To Mondays Is Very Lucrative
Understanding The Science Behind Data Science Job Interviews
How To Tell If Your Business Is In A Death Spiral And It's Time To Get Out
Hiring Advice For First-Time Leaders
This Monday Brings A Return To Focus For Businesses And Data Science
Introduction To Monetization For Creators
The Best Framework For Leaders To Deliver Bad News
Data And AI Maturity KPIs That Connect To Value Not Hype
Why Do Some Social Media Posts Fly While Others Flop?
When Is The Right Time To Move Into Your First Leadership Role?
A Better Monday Than The Last One
What’s Driving The Surge In Interest In Data And AI Strategy?
The Numbers Game Behind Growing A Social Media Following
It’s Hard To Tell The Difference Between Mondays
From Business Problem To Data Science Experiment
The Adapt Or Die Moment For Businesses: Data & AI Can Help But We Must Make The Case
Mondays Pick Up Speed Faster Than We Expect
First Time Leadership Challenges: Defining Leadership and Developing Capabilities
New Post And Content I Am Following
Machine Learning Models And Observational Studies
Mondays Aren't Just For People
Gartner's Hype Cycle And Machine Learning Trends
Mondays: So Wrong And So Right
What Every CEO Needs To Know About Their Data And AI Strategies
How To Successfully Answer Technical Data Science Questions From Non-Technical Executive Leaders
Remembering Mondays Before The AI Boom
The Technical Strategy Library
What Is A Continuous Transformation Strategy?
What Enterprise Technology And Software Companies Can Do About Slowing Sales
Monday Would Not Be Here Without Teachers
Defining What AI Can And Cannot, Should And Should Not Do
Twitter's Whistleblower and Twitter Are Both Right. Here's How That's Possible.
Mondays Are A Great Day To Protect Our Most Valuable Resource
5 Reasons Data Strategies Fail
It’s Monday, And I Have The Data To Prove It
New Trends Driving Data Science Adoption And Use Cases
First Time Leadership Challenges: Dealing With Difficult Employees
Getting Past Company Politics To Get Buy In For Data Science
Mondays Are Variations On A Theme
Amazon, iRobot, and Dominant Technical Strategy
Amazon Acquisitions And Dominant Technical Strategy
First Time Leadership Challenges: Leading In Uncertainty
Motivated Mondays During Uncertainty
Estimating Data Science Projects
Data Science Maturity Is A Partnership, Or It Fails
First Time Leadership Challenges: Managing Imposter Syndrome
The Foundations Of Excellent Mondays
Lessons Learned From Delivering 9-Figure Solutions: Discovering Opportunities
Thinking In Edges And Assembling New Ontologies: Data Points In A Changing Economy
Applying Causal Methods To Customer Survey Data
Businesses Are Losing Faith In Machine Learning. Here's What We Can Do About It.
Challenges For First Time Leaders And How To Overcome Them: Leading The People You Used To Work With
Challenges For First Time Leaders: Identifying Gaps And Resolving Them
The Big Picture Of Data Science Maturity And Transformation
Diving Deeper: Building Ontologies In The Real World
How Do You Get Business Acumen and Domain Knowledge While Learning Data Science?
As Hiring Slows, The Drivers Of Demand For Data Scientists Are Changing
Why CATE ATE? Because She Was Hungry For Causal Knowledge.
The Biggest Tech Trend That Most People Are Missing
Meta’s AI Team Reorganization Is The Structure Most Teams Will Follow
Is It Alive Or Are We Just Seeing What We Need To On A Monday?
PyWhy Solve Hard Problems With Causal Methods?
The Inversion Of The Yield Curve And The Fracture In Data Science
Trust The Process To Get You Through Mondays
Machine Learning And The Hard Problems
0 Is Always Better Than -1, Even On Monday
If It Wasn't For Mondays, It Wouldn't Be Monday Today
AI Governance: A Framework For Senior Leaders To Manage AI's Value Creation
The Lopsided Hiring Market. Why Do We Have Layoffs And A Talent Shortage?
Which Monday Will I Write This On?
Are NFTs Good For Anything? Yes, But It's Boring Use Cases, Not Bored Apes
Ontology-Based Automated Feature Selection: Why And What It Looks Like
Pricing Can Train Your Customers, For Better And For Worse
Expert Systems For Reliable Data Science
Google's In Trouble. Here's What's Broken And How To Fix It
The Value Of Experience With Maintaining And Improving Models For Junior Data Scientists
The Benefits People Outside Our Field Bring When They Transition Into Data Science
How Some Companies Are Avoiding Machine Learning’s Early Hype And Mistakes In Web 3.0
My Data Science Hiring Mindset And How I Got It
How I Quickly Screen Data Science Resumes
A Simple Framework To Keep Data Science Projects Aligned With Business Value
Using Micro Engagements To Launch A Data Science Business
Quick Tips To Improve Data Science Job Description Quality
Years Of Experience Is A Terrible Hiring Filter
Why Causal Is The Future Of Machine Learning
Career Opportunities For Data Scientists In Business Turn Arounds
My Thoughts On Open Sourcing Twitter's Algorithm
Nike, Machine Learning, NFTs, and the Metaverse
My Updated Data Science Learning Path With Basic Learning Resources
It’s Monday And The Content Market Is Oversaturated
Turning A Data Science Vanity Project Into Something Useful: Thor's Abs
An Advantageous Monday 4/18/22
Why Does The Metaverse Matter So Much To Machine Learning?
What I Read This Week…Well, Last Week Really
Lessons Learned From 6 Years of Career Coaching
It's Monday And The Librarian Is In
Real World Data Science: Project Thor's Abs
The First Step In Data Strategy: Resources For Data Valuation
Last Monday of the Quarter: Let's Talk About Slot Machines and Data Science
How To Use Data To Evaluate New Business Opportunities For Growth
How To Build Your First Customer-Facing AI Product
Measuring the Revenue Generated By Data Science
Building An Applied Innovation Framework In Practice
Into Centralized and Decentralized Metaverses: Strategies For Innovating, Thriving, and Surviving
My Data Science Interview Process
It’s All Been Leading Here. Happy Monday.
Trends In Machine Learning Research: Google’s Natural Language Work
What Must Change In The Business To Support Data Science: Transformation Roadmap and Timeline
Connecting the Dots: Introduction to Causal and Machine Learning
Why Do We Make Decisions? Introduction To Neuroeconomics
Why Do We Make Decisions? Justifying The Need For Neuroeconomics In Data Science
Trends In Machine Learning Research: Google’s Computer Vision Work
Thank You To Subscribers With A New Perk And Advice For Emerging Digital Threats
What Changes Must Happen On The Business Side To Support Data Science? Part 1
Data Will Drive Successful Return To Work Strategies
It’s Go Big Monday And Video Is Dead
Emerging Trends From Machine Learning Research
Game Theory For Decision Support Part 2: Advanced Decision Games and Graphs
Data Science Career Advice: How To Choose Areas Of Focus, Both Technical and Domain
3 Reasons AI Is Your Business’s Most Efficient Growth Driver
Subscriber Q&A and Quick Takes 2/14/22
From Monday February 14th With Love
My Process For Delivering Machine Learning For Internal Efficiency And Automation
Data Science In The Business: How Senior Leaders Are Defining Success
Leadership Essentials: Performance Reviews, Raises, And Tough Conversations About Both
Peloton Teaches Valuable Lessons About Making Career Decisions When The Company Faces A Setback
Subscriber Q&A and Short Takes 2/7/22
Some Data On Data Scientist Hiring
Game Theory For Decision Support Systems
Leadership Essentials: How To Write A Recommendation And Give A Reference
Emerging Data Science Roles: The Machine Learning Product Manager
Subscriber Q&A and Short Takes 1/31/22
How Do I Find, Interview, And Hire Senior++ Talent?
Subscriber Q&A and Short Takes 1 24 22
Zillow Was Just The Beginning. Companies Are Feeling The Pain Of Failed Data Science Initiatives.
Introduction To Causal Part 2: Simple Causal Graphs
3 Slide Presentation To Get Buy-In For Data Science Projects
Introduction To Decision Science Part 1: Basic Decision Literacy
Happy Monday! Thank you for subscribing.
Leadership Theory Part 1: Sources of Authority
The Applied Innovation Framework
Career Advice and Development: Data Science Leadership Track
Career Advice and Development: Builder / Individual Contributor Track
Career Advice and Development: Strategy Track
Introduction To Causal Machine Learning Part 1: Why Causal?
Subscriber Q&A + Short Takes 1/17/22
How To Pick The Right Projects For Data Science Teams To Work On
Machine Learning Product Strategy: Defining a New Category
Introducing A New Monday Format
What I’m Reading Week of 1/17/22
4 Critical Success Factors for Data Science in The Enterprise
Advice For Data Scientists Working With Senior Leadership And The C-Suite
6 Hiring Lessons From 6 Years of Building Data Science Teams
Data Science Is A Leaver For Business Growth But Senior Leadership Needs You To Fill In The Gap
Machine Learning Is The Key To Metaverse Success For Businesses
How Do You Take The Next Step After Senior+ Career Roles?
How Do You Take The Next Step After Senior+ Career Roles? Part 3 Creating Your Opportunities.
How Do You Take The Next Step After Senior+ Career Roles? Part 2: A New Process
How Do You Take The Next Step After Senior+ Career Roles? Part 1: Pitfalls Of Major Career Moves
We Need To Regulate Large Scale Models Before They Destabilize Our Marketplaces
A Basic Introduction To Research and Study Design For Machine Learning
Core Capabilities For Traditional And Emerging Data Science Roles
The 3 Data Science Lifecycles and Workflows
Breaking Into The Field: Top 10 Data Science Learning Path Mistakes
What Types Of Projects Should Data Science Teams Say Yes To?
Explaining The Debate Over Deep Learning's Future
What Questions Should You Ask Before Taking Your Next Data Science Role?
My Career Tracks For Data Scientists
Leadership Essentials: Mentoring People Through A Slow Phase In Their Career
Becoming A Multiplier And Growing Your Career
Assessing A Data Scientist's Coding Skills During A Phone Screen
Breaking Into The Field: 3 Stages Of Learning
My Most Valuable Data Science Skills
Exclusionary Hiring Processes Create Data Science Talent Shortages
Data Science Interviews As Capabilities Assessments vs Technical Assessments
Defining Your Career Intentionally
Finding Companies Worth Working For
Breaking Into The Field: Example Independent Project
Leadership Essentials: Getting More Out Of Low Performers To Avoid Burning Out High Performers
Teaching Leaders To Assess Data Science Capabilities
Breaking Into The Field: Attending Conferences
Machine Learning Does Not Work. It Functions.
What Is The Metaverse And Why As A Data Scientist Do You Care?
The Skyrocketing Demand For Data Science Talent
Data Science Consulting Rates For 2022
Understanding The Difference Between Model Accuracy Metrics And Business Metrics
Breaking Into The Field: Presenting Yourself As A Work In Progress
Is Data Science Still An Attractive Field To Get Into?
How To Use Digital Strategy KPIs To Justify ML Infrastructure And MLOps