Artificial Intelligence | News, analysis, features, how-tos, and videos
Companies without the resources to develop in-house machine learning models are turning to the big cloud providers.
The success or failure of AI initiatives has more to do with people than with technology. If you want to put AI into practice in a way that improves business outcomes, you must avoid these 6 mistakes.
IT can still test without access to underlying source code. Use agile acceptance testing, address the business logic, and adopt test platforms with machine learning.
The Copilot technical preview doesn’t always generate good, correct, or even running code, but it’s still somewhat useful. Future versions could be real time-savers.
Oracle's new services aim to enable developers and data scientists to apply artificial intelligence to varied enterprise scenarios in the Oracle Cloud Infrastructure (OCI).
Data science toil saps agility and prevents organizations from scaling data science efforts efficiently and sustainably. Here’s how to avoid it.
GitHub also announced Copilot support for multiline code completions in languages such as Java, C, C++, and C#.
Google Cloud Platform (GCP) is offering new dedicated data and machine learning (ML) tools designed to clear up data inefficiencies and ease application development for enterprises.
Better testing means better software. Using NLP, test data generation, and optimized testing can quickly improve applications.
InfoWorld’s 2021 Bossie Awards recognize the year’s best open source software for software development, devops, data analytics, and machine learning.