Remove Code Remove Conference Remove Data Engineering Remove Network
article thumbnail

AI meets operations

O'Reilly

First, the behavior of an AI application depends on a model , which is built from source code and training data. A model isn’t source code, and it isn’t data; it’s an artifact built from the two. This means that, to have a history of how an application was developed, you have to look at more than the source code.

article thumbnail

Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

This summer also marks the 4-yearly event that is La Copa Mundial (we only get Telemundo in my apartment, not Fox Sports Network) but since the good old US of A are absent from the men’s World Cup this year, football fever is distinctly frigid. Unlike the temperature outside. John and I (Mike) have had a fun three months. Great stuff!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

article thumbnail

The death of Agile?

O'Reilly

It’s not about getting software developers to write code faster. Perhaps the appropriate yardstick for AI projects is the experiment itself, not the code committed to git.). Radar data points: Recent research and analysis. Key survey results: The C-suite is engaged with data quality. Can Agile work for large teams?