Amazon Web Services: The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Bright Wolf: Marine and Industrial Displays by Caterpillar
Caterpillar needed a flexible platform for a new generation of connected human-machine interfaces across a wide variety of industrial environments. Examples include marine, petroleum pumping, generators, custom hydraulics, mining, and rail applications.
Bright Wolf: ZipLine
When connected devices, from simple IoT buttons to complex mining equipment, medical devices and more are distributed across organizations, sites, and locations with many roles and data types along with requirements for who can access which data, you've got an IoT Data Management, Access Control, and Device Lifecycle nightmare.
Bright Wolf: HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Libelium: Smart Agriculture Project Ensures Crops Health and Reduces Losses
Traditional agriculture companies have applied for ages the same tools and processes that have become antiquated these days. Most of the organizations that work on the farming sector have realized the great potential that cutting edge technologies have to ease their daily works, reduce losses or improve the yield quantity and also product quality. Wireless sensor networks have opened a wide range in terms of possibilities for farmers and agricultural management organizations. Getting real-time information from different water, soil or air parameters of any field allows taking smart and strategic decisions to save resources and optimize yields.
ElifTech: Car Maintenance Application
Maintenance systems make modern aircraft fault-tolerant. They provide a remote diagnosis of existing faults and capabilities. But why aren’t vehicles packed with such descriptive analytics maintenance? That is exactly what we wondered right before coming up with the idea of Car Maintenance. Our first motive to experiment with Car Maintenance application was safety considerations for our vehicles, and the second - exercising our skills in the Internet of Things (IoT) software development.Eliftech_Car-Maintenance_app_1.jpgThe essence of Car Maintenance is instant data collecting, data analysis and data gathering about the current condition of the vehicle to prevent it from breaking down. Descriptive analytics enable us to create a summary of historical data related to a vehicle's condition. The collected data could be used further for sharing with a mechanic. The analytical approach helps a repair master make smarter decisions, solve problems and improve outcomes.We track speed, location, engine rotation, the temperature of the important components of the car and dozens of other parameters that are supported by the vehicle. We collect data on a server, and it is also sent to a web application where you can review both the current condition of the connected car and the historical data.
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