KUALA LUMPUR, June 4, 2020 – Fitbit (NYSE: FIT) today announced it has developed a high-quality, low-cost, easy-to-use emergency ventilator, Fitbit Flow, which has obtained Emergency Use Authorization (EUA) from the U.S. Food & Drug Administration (FDA) for use during the COVID-19 public health emergency.
After seeing the global need for ventilators, Fitbit applied its deep in-house expertise in advanced sensor development and hardware design to quickly create Fitbit Flow, an automatic resuscitator inspired by the MIT E-Vent Design Toolbox and based on specifications for Rapidly Manufactured Ventilation Systems. During development and testing, Fitbit consulted with Oregon Health & Science University emergency medicine clinicians caring for COVID-19 patients at OHSU Hospital and worked with the MassGeneralBrigham Center for COVID Innovation working group on the design to meet the needs of practitioners.
As we continue to live with the ‘new normal’, it’s safe to say we now spend at least 90 percent of our time indoors – as most people work and receive their education from their homes. Not to mention, we are seeing multiple reports of better outdoor air quality due to less traffic congestion and fewer outdoor activities.
While it’s great that we now see the outdoor air quality improving for the better, the question remains: what about the air quality within the confinement of our home? Do you know, studies by World Health Organization (WHO) revealed that indoor air pollutants are one of the leading causes of disease in the world. Shocker.
Kuala Lumpur, Malaysia – 3 June 2020 – TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s most complex data-driven challenges. Today, TIBCO announced that TIBCO Spotfire® and TIBCO® Data Science now support Microsoft Azure Cognitive Services. TIBCO's solutions extend these services to analyze multivariate anomalies and add root cause analysis, using input from the Key Phrase Extraction cognitive skill to render decisions and automate actions like anomaly detection. Using visual analytics and data science, sensor data and log data can be analyzed at the edge, including the ability to detect anomalies within reams of data and alert case managers to take preventive actions.
“Increasingly, customers performing predictive maintenance must look for ways to leverage AI closer to where their data is generated for timely analytics and responses,” said Matt Quinn, chief operating officer, TIBCO. “TIBCO's approach to visual AI, analytics, and ML integrates well with Microsoft Azure AI and Cognitive Services. In particular, Microsoft's Python APIs are easily invoked from the TIBCO analytics offerings, giving our customers flexibility for AI core and edge scenarios, online and offline. The addition of Azure AI gives our customers flexibility and breadth of choice when using TIBCO Data Science with machine learning capabilities.”