A new telecommunication service -- along with several other recent offerings -- exemplify the cloud leader's emphasis on using AI to enhance its products.
Most of the Firebase machine learning functionality is provided by ML Kit, a beta offering that simplifies the use of ML for enterprise app developers at all levels.
Artificial intelligence projects were front and center in GitHub's new Octoverse report examining the past year's activity on the open source development platform and code repository.
The new platform is designed to enable companies to manage their AI implementations through the full AI lifecycle, regardless of the environments in which they were built or on which they run.
- By John K. Waters
- 10/22/2018
A report released this week found that larger organizations are happier with their machine learning apps than smaller companies.
- By Richard Seeley
- 10/17/2018
Parasoft SOAtest now comes with new machine learning techniques that augment the tool's Smart API Test Generator.
- By John K. Waters
- 10/16/2018
The Amazon Web Services cloud platform recently made several updates to its SageMaker service for creating and working with machine learning models.
On Friday, Microsoft announced that Infer.NET, a cross-platform framework for model-based machine learning, is now open source and available on GitHub.
Teradata this week announced the launch of Teradata Vantage, a new analytics platform that boasts a built-in machine learning engine, among other features.
Providing a more real-world testing environment for developing and testing machine learning applications is the goal of a recently announced partnership between Unity Technologies and DeepMind, Google's London-based artificial intelligence (AI) research company.
- By Richard Seeley
- 10/05/2018
Machine learning, cognitive services and other artificial intelligence-powered products and services for both IT pros and developers are front and center at Microsoft's Ignite conference this week.
The evolution of enterprise AI and machine learning continues at an amazing (and occasionally disturbing) pace, but it has yet to outpace the need for human input at critical junctures during its development and deployment. The creation of training data sets, for example, still requires lots of people power.
- By John K. Waters
- 09/24/2018
By 2022, artificial intelligence and related technologies will change the jobs people do and the people who do the jobs.
- By Richard Seeley
- 09/20/2018