Machine learning and data analytics enable safe, reliable health services deliveries
Swoop Aero makes access to air transport seamless by deploying two-way medical drone networks. They provide a safe, reliable and sustainable service to improve the delivery of essential health supplies. Swoop Aero’s goal is to serve 100 million people by 2025. To enable continued security and compliance while scaling and during a period of rapid growth, Swoop Aero engaged DiUS.
DiUS provided a variety of specialist capabilities in embedded engineering, Amazon Web Services (AWS) IoT Core, and cloud architecture to help Swoop Aero scale its operations. Specifically, DiUS supported Swoop Aero to meet the security and compliance requirements of operating across multiple regions and to prepare the drones to leverage analytics and machine learning to bolster safety and reliability.
Register for the webinar to hear Swoop Aero discuss how the right application of technology is solving real world problems in healthcare, and how DiUS’ experience removes literal blockers from where Swoop Aero wants to go.
Watch to learn how to:
Collect device data for specialist skills in analytics and machine learning
Use embedded engineering expertise to create a reliable base system designed for zero-maintenance and ease of ongoing management
Leverage serverless cloud architecture to achieve a low-maintenance, highly reliable, and secure operation
Kamran Habib, Senior Solution Architect, Amazon Web Services
Andrew Thomas, Chief Solutions Architect, Swoop Aero
Zoran Angelovski, Principal Consultant –IoT, DiUS
Who Should Attend?
CTOs, CIOs, CISOs, VPs of IT, C-Level or LOB Managers (CEOs, CMOs, COOs, VPs of X, LOB Directors), Heads of Architecture, Heads of Cloud, Heads of Data Analytics, Heads of IoT, Chief Cloud Officers, Chief Data Officers, Chief Architects.
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