Data

MIT Energy Initiative launches Data Center Power Forum

With global power demand from data centers expected to greater than double by...

Beyond Numbers: Find out how to Humanize Your Data & Evaluation

something strange with the most important post image? What you really see there may be a variation of Hermann’s grid, which I generated with the assistance of Gemini. And to be exact, I based...

What Constructing My First Dashboard Taught Me About Data Storytelling

that looked great on the surface but didn’t really anything? After I first attempted to make sense of my dataset one Saturday afternoon, constructing a dashboard gave the look of the following reasonable...

The AI Hype Index: Data centers’ neighbors are pivoting to power blackouts

Separating AI reality from hyped-up fiction isn’t all the time easy. That’s why we’ve created the AI Hype Index—an easy, at-a-glance summary of every thing you should know concerning the state of the industry....

Constructing a high performance data and AI organization (2nd edition)

To find out the extent to which organizational data performance has improved as generative AI and other AI advances have taken hold, MIT Technology Review Insights surveyed 800 senior data...

The Power of Framework Dimensions: What Data Scientists Should Know

A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide range of contexts, from use case ideation and...

Data Visualization Explained (Part 4): A Review of Python Essentials

Up so far in my data visualization series, I even have covered the foundational elements of visualization design. These principles are essential to grasp before actually designing and constructing visualizations, as they make sure...

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