UltimateAir, Inc. (United States)
COVID-19 Impact
The world is adversely affected by the COVID 19 pandemic. The global economy slowed down due to lockdown and stringent rules against cross-border transportation to curb the virus spread. This impacted air exchanger markets revenue negatively. A report stated that in the U.S., around 45% of the HVAC companies witnessed low seasonal sales. This was due to the unavailability of labor. However, HVAC was not severely affected owing to the need for ventilation across various sectors. Therefore, it is anticipated that the market will recover soon during the forecast period.
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07/21/2021 | Press release | Distributed by Public on 07/20/2021 19:12
NTT and Fujitsu Hong Kong announce partnership to drive Mobile Digital Workplaces
21 July 2021
Plans to accelerate successful digital workplace transformations seamlessly and securely
Hong Kong - 21 July 2021
., a world-leading global technology services provider and Fujitsu Hong Kong today announced its partnership with Fujitsu to address the emerging demands for Mobile Digital Workplaces in Hong Kong. With Hong Kong being the first city where the partnership will be launched, NTT will offer a ready-to-go global mobile data service for the end-users of Fujitsu LIFEBOOK Business Notebooks
1 in Hong Kong, enabling seamless and secure connections for easier transfers of company data and better collaboration with colleagues and customers at anytime, anywhere.
Plans to accelerate successful digital workplace transformations seamlessly and securely HONG KONG SAR - Media OutReach - 21 July 2021 - NTT Ltd., a world-leading global technology services provider, and Fujitsu Hong Kong today announced a partnership to address the emerging demands for Mobile Digital Workplaces in Hong Kong. With Hong Kong being the first city where the partnership will be launched, NTT will offer a ready-to-go global mobile data service for the end-users of Fujitsu LIFEBOOK Business Notebooks
[1] in Hong Kong, enabling seamless and secure connections for easier transfers of company data and better collaboration with colleagues and customers anytime, anywhere.
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Fujitsu and France s Inria Develop New Time-Series AI Technology to Identify Causes of Data Anomalies
Fig. 1 TDA-based technology for identifying the causes detecting anomalies
Fig. 2 EEG data of delirium state (blue line) and EEG data judged to be normal generated by this technology (red line)
In recent years, various kinds of time-series data collected in fields including healthcare, social infrastructure, and manufacturing have been leveraged by AI to perform situational judgment and detect anomalies. In the case of time-series data, however, there are a wide range of factors that can contribute to AI decision-making. This means that even experts find it difficult to notice what kind of changes in the data contributed to an anomaly detection making it difficult to take appropriate measures to prevent their occurrence.