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DZNE German research institute tests Memory-Driven Computing to fight global time bomb of neurodegenerative diseases
As world populations age, the human and economic toll of currently incurable neurodegenerative diseases such as Alzheimer’s grows staggering. DZNE fights these diseases using Big Data analytics, but the limitations of traditional computer systems have been a major bottleneck. Seeking a breakthrough solution, DZNE discovered HPE’s Memory Driven Computing—and saw unprecedented computational speed improvements that hold new promise in the race against Alzheimer’s.
The goal of this business case is to explain the Supply Chain Monitoring solution that enables the interaction of different IoT technologies to manage, monitor and control the whole delivery process of goods. Starting with the journey from the farm, through all the delivery routes, warehouses and shops onto the customer’s fork. Cold chain monitoring is one of the specific Supply Chain Monitoring business cases provided thanks to Coiote IoT Data Orchestration.
Prior to integrating technology, the university lab staff manually checked temperatures, UPS alarms and switched liquid nitrogen tanks when they were running low. Dr. David Agard wanted a fully automated maintenance process and a system that would alert the staff when problems occurred or tanks were low. Dr. Agard connected Particle sensors to a few different IoT platforms but Losant’s capabilities won him over due to the ability to customize dashboards and trigger text and email alerts. Using the Losant Enterprise IoT Platform, Agard successfully configured a condition-based maintenance solution to monitor and protect the valuable equipment in the lab.
Livongo is an early adopter of innovative technologies, delivering best-in-class digital health solutions. The company provides its customers with next-generation products and services that leverage leading-edge medical research, technologies, and systems.