Remove Artificial Intelligence Remove Infrastructure Remove Logistics Remove Network
article thumbnail

To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

article thumbnail

Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. This starts with integrated platforms that can manage all activities, from market research to production to logistics. This pattern should be broken.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

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. Also: infrastructure and operations is trending up, while DevOps is trending down.