As Google faces at least four major antitrust investigations on two continents, internal documents obtained by The Markup show its parent company, Alphabet, has been preparing for this moment for years, telling employees across the massive enterprise that certain language is off limits in all written communications, no matter how casual.

The taboo words include “market,” “barriers to entry,” and “network effects,” which is when products such as social networks become more valuable as more people use them.

“Words matter. Especially in antitrust law,” reads one document titled “Five Rules of Thumb for Written Communications.”

“Alphabet gets sued a lot,

In order to create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train models on your data in a reasonable amount of time. Then you need a way to deploy your models, monitor them for drift over time, and retrain them as needed.

You can do all of that on-premises if you have invested in compute resources and accelerators such as GPUs, but you may find that if your resources are adequate, they are also idle much of the

By now most of us understand that, in our current era, artificial intelligence (AI) and its subset machine learning (ML) have little to do with human intelligence. AI/ML is all about recognizing patterns in data and automating discrete tasks, from algorithms that flag fraudulent financial transactions to chatbots that answer customer questions. And guess what? IT leaders appreciate the enormous potential.

According to a CIO Tech Poll of IT leaders published in February, AI/ML was considered the most disruptive technology by 62 percent of respondents and the technology with the greatest impact by 42 percent – in both cases double