Fujitsu Limited (FJTSY)
| Previous close | 16.30 |
| Open | 15.30 |
| Bid | 0.00 x 0 |
| Ask | 0.00 x 0 |
| Day's range | 15.30 - 16.26 |
| 52-week range | 10.94 - 17.58 |
| Volume | |
| Avg. volume | 220,808 |
| Market cap | 28.996B |
| Beta (5Y monthly) | 0.89 |
| PE ratio (TTM) | 17.91 |
| EPS (TTM) | N/A |
| Earnings date | N/A |
| Forward dividend & yield | 0.17 (1.06%) |
| Ex-dividend date | 28 Sept 2023 |
| 1y target est | N/A |
- Business Wire
ServiceNow and Fujitsu announce strategic commitment to launch innovative cross-industry solutions
LAS VEGAS, May 07, 2024--Knowledge 2024 – Today, at ServiceNow’s annual customer and partner event, Knowledge 2024, ServiceNow (NYSE: NOW), the AI platform for business transformation, and Fujitsu Limited, an industry leader in IT services and digital transformation solutions, announced a new strategic commitment to launch innovative cross-industry solutions designed to maximize value for customers globally. The companies will launch a new Fujitsu-ServiceNow Innovation Center to focus on digital
- PR Newswire
Fujitsu and Oracle Collaborate to Deliver Sovereign Cloud and AI Capabilities in Japan
Fujitsu Limited and Oracle are collaborating to deliver sovereign cloud and AI capabilities that help address the digital sovereignty requirements of Japanese businesses and the public sector. With Oracle Alloy, Fujitsu will expand its Hybrid IT offerings for Fujitsu Uvance, which helps customers grow their businesses and solve societal issues. Fujitsu will be able to operate Oracle Alloy independently in its data centers in Japan with additional control over its operations.
- PR Newswire
Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects
Fujitsu Limited and the Linux Foundation today marked the official launch of Fujitsu's automated machine learning and AI fairness technologies as open source software (OSS) ahead of Open Source Summit Europe 2023, running in Bilbao, Spain, from September 19-21, 2023. The two projects will offer users access to software that automatically generates code for new machine learning models, as well as a technology that addresses latent biases in training data.
