What’s driving open source software in 2019
Cloud native, AI/ML, and data tools and topics are areas of emphasis for the O’Reilly Open Source Software Conference.
Cloud native, AI/ML, and data tools and topics are areas of emphasis for the O’Reilly Open Source Software Conference.
Differential Privacy, Future Op-Ed, Spectroscopy, and Research Programming Environment
Google Blocking Ad Blocking, Security Checklist, Maturity Model, and Software Engineering
Open Insulin, Sonification of Data, Security UX, and Advanced Data Structures
Robustness Principle, End of Mobile, Beautiful Hack, and Autonomous Radios
Research Libraries, Disinformation Campaign, Unstructured Text Mining, and Building a PiDP-11
Better Figures, Neal Stephenson, Reputation Inflation, Interactive Code
Forms by Configuration, GitHub Sponsors, SpaceX's LEO Internet, and a Gallery of Programmer Interfaces
Deep Fakes, GPU-Friendly Codec, Retro OS, and Production Readiness
Software-Defined Memory, SQL Analyzer, Wolfram Engine, and Victims of Passion
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
Computational Socioeconomics, AI on Code, AMP, and Social Media's Effect on Adolescents
Account Hygiene, Conversational AI Playbook, Unix Time Falsehoods, and Testing/Debugging Machine Learning
Productsec, Supply Chain Attack, Sparse Neural Networks, and the Christchurch Call
Regulating Platforms, Amazon Development, Still Love Tech, and ML Cheatsheets
Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.
Privacy, Decision Trees, Other People's Problems, and Programming Tools
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.