datafying
@datafying
Followers
3K
Following
3K
Media
37
Statuses
5K
Turning customer data into insights, insights into action, action into growth.
Melbourne Australia
Joined April 2014
What’s Wrong With Data Teams. Why most data teams are expensive consulting shops — and how to fix it
svenbalnojan.medium.com
Why most data teams are expensive consulting shops — and how to fix it
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10 GitHub Repositories for Machine Learning Projects
kdnuggets.com
Explore these top machine learning repositories to build your skills, portfolio, and creativity through hands-on projects, real-world challenges, and AI resources.
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6 data risks CIOs should be paranoid about
cio.com
From misclassified data to AI use without adequate quality assurance, IT leaders looking to make the most of data-driven decision-making have lots to worry about.
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Data Intelligence in Action: 100+ Data and AI Use Cases from Databricks Customers
databricks.com
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A.I. Computing Power Is Splitting the World Into Haves and Have-Nots
nytimes.com
As countries race to power artificial intelligence, a yawning gap is opening around the world.
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An AI glossary. The top 20+ most common AI terms explained, simply
lennysnewsletter.com
The most common AI terms explained, simply
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Causal Machine Learning for Growth: Loyalty Programs, LTV, and What to Do When You Can’t Experiment
pub.towardsai.net
A hands-on guide to replacing A/B tests with counterfactual reasoning
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From LLMs to hallucinations, here's a simple guide to common AI terms
techcrunch.com
We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases that we use in our articles.
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Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work
towardsdatascience.com
It's not just about technical depth, it’s about strategic clarity
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The AI Engineering Stack. Three layers of the AI stack, how AI engineering is different from ML engineering and fullstack engineering, and more. An excerpt from the book AI Engineering by Chip Huyen
newsletter.pragmaticengineer.com
Three layers of the AI stack, how AI engineering is different from ML engineering and fullstack engineering, and more. An excerpt from the book AI Engineering by Chip Huyen
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#FunGame Who's the best CDO? 🎮. You're the newly appointed Chief Data Officer. Your role is to guide your company through data chaos, one paw-step at a time. Expect surprises in your inbox and remember : data is your territory now.
whoisthebestcdo.com
Vote for the coolest cat in the office!
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The 2025 State of Analytics Engineering Report, crafted by dbt Labs
getdbt.com
Explore how AI, data investment, and trust are reshaping analytics engineering in 2025, with insights and benchmarks from dbt Labs’ survey.
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Data Science Isn’t Dying — It’s Evolving: How AI Is Reshaping the Role
medium.com
Data science isn’t obsolete — it’s shifting. Learn how AI changes workflows, what skills still matter, and where human oversight is…
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Collective Wisdom of Models: Advanced Feature Importance Techniques at Meta
medium.com
Author: Assaf Cohen
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10 most used gen AI tools in the enterprise
cio.com
From AI chatbots and virtual assistants, to audio and video generators, these are the frontrunner gen AI tools in use today.
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AI 50: AI Agents Move Beyond Chat
sequoiacap.com
The 2025 AI 50 list shows companies using agents and reasoning models to take on real enterprise workflows, from law to customer service to robotics.
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Half of ecommerce brands lack the support to scale personalization effectively
martech.org
A report from Mastercard found many personalization efforts failing when it comes to resources, strategies and metrics.
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