O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Still cloud-y, but with a possibility of migration.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. Our analysis of speaker proposals from the 2019 edition of the O’Reilly Velocity Conference in Berlin turned up several interesting findings related to infrastructure and operations: Cloud native is preeminent.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. Development timelines for these projects aren’t as predictable as traditional software; they stretch the meaning of “testing” in strange ways; they aren’t deterministic.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

O'Reilly

DECEMBER 2, 2019

Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. Read “ O’Reilly serverless survey 2019: Concerns, what works, and what to expect ” for full results. Upcoming events.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53