The Human Side of AI: The Art of Leading AI Teams and Programs
How to successfully manage uncertainty and deliver innovation- 28417Murphy ≡ DeepGuide
Building AI Strategies for Businesses
Background – Spearheading AI Strategy at an Established Bank Prior to founding Data-Centric Solutions, I spearheaded the development, execution, and implementation of the AI strategy at an established bank. Although relatively green in delivering at- 22766Murphy ≡ DeepGuide
Daily Standups May Not Improve Your Team's Agility
One of the most common meetings or rituals for an agile team is the daily standup. It is usually short (max. 15 minutes), happens mostly at the same time of the day, and is mandatory for every team member to join. In theory, this meeting can be a great wa- 25074Murphy ≡ DeepGuide
The 3 Essential Technical Skills Every Data Leader Needs to Be Successful
Empowering Data Leaders with the Key Technical Skills to Drive Business Insights- 24546Murphy ≡ DeepGuide
Rotating On-Call for Operational and Support: A Must for Data Teams
A rotating on-call schedule for operational, support, and tech-dept frees the rest of the team to do great development- 30147Murphy ≡ DeepGuide
GenAIOps: Evolving the MLOps Framework
Generative AI Requires New Deployment & Monitoring Capabilities- 23250Murphy ≡ DeepGuide
Generative AI Ethics
Key Considerations in the Age of Autonomous Content- 29292Murphy ≡ DeepGuide
Regulating Generative AI
How Well Do LLMs Comply with the EU AI Act?- 28596Murphy ≡ DeepGuide
Build a data science strategy for anyteams of any size with this one article consultants don't
Create a culture and practice that is fast moving and resilient to change- 25426Murphy ≡ DeepGuide
I Got Promoted!
How?- 28299Murphy ≡ DeepGuide
5 Ways You Are Sabotaging AI As A Leader
The key mistakes that are derailing AI potential and burning investment- 24227Murphy ≡ DeepGuide
My Weekly Calendar as a Senior Data Science Manager
My goal is to cover the 3Ps: People, Projects and Process. In that order of importance. And my target is the "50:50" rule.- 22666Murphy ≡ DeepGuide
The Art of Asking Questions for Engineers
A Guideline for Asking Impactful Questions- 22045Murphy ≡ DeepGuide
The Who, What, Why of AI
Success starts with the questions no one else asks- 27076Murphy ≡ DeepGuide
Does Your Company Have a Data Strategy?
This sophistication matrix can show you where you need to go- 26871Murphy ≡ DeepGuide
Forging New Professional Identities: From Data, ML, AI, Product To Leader, Coach, Solopreneur…
I am marking a turning point in my career - redefining what "work" means to me.- 21811Murphy ≡ DeepGuide
What "Dream Big" Meant for Data Science Innovation at LinkedIn
Here's how to inspire and lead people for bigger data science projects- 21580Murphy ≡ DeepGuide
Mastering AI Department Reorganizations: Lessons from the Trenches
Do's and Dont's after five years of Data Science department reorgs- 26485Murphy ≡ DeepGuide
Asking for Feedback as a Data Scientist Individual Contributor
Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you to use.- 28029Murphy ≡ DeepGuide
My commute to work is more than 4 hours. Each way.
Am I crazy, or does the data tell a different story?- 23903Murphy ≡ DeepGuide
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We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag