A New Catalyst for Big Data and Business Intelligence Innovative Machine-as-a-Service (MaaS) Business Model.
Knightscope, Inc. announced today at the nestCON 1.2 Internet of Things conference that it is developing a new technology termed Autonomous Data Machines.
A large-scale deployment of autonomous technology, sensors and robotics will digitally connect vast portions of the offline world to the online world, enhancing the true potential of Big Data and Business Intelligence.
Billions are spent by organizations for the best intelligence each year, but only data that has actually been collected can be analyzed.
Knightscope has already begun securing beta customers for its first two machines – the Knightscope K10 and the Knightscope K5 – through its innovative Machine-as-a-Service (MaaS) subscription model. The K10 robot will be utilized in vast open areas and on private roads while the K5 robot has a form factor better utilized in more space constrained environments. Beta testing will commence at the end of 2013.
An integrated machine operating system will guide each unit autonomously through defined boundary conditions while a sensor operating system will collect data from the immediate surroundings of the unit and feed information into the Company’s network operations center.
With a vast array of sensor payload options including omnidirectional cameras, microphones, optical character recognition, thermal imaging, air quality, ultrasonic, lasers and infrared, each machine will collect significant quantities of real world data providing organizations with historic and real time information, behavioral analysis, and user-defined alerts enabling improvements in intelligence and analytics, and ultimately serving to make better decisions.
According to McKinsey & Company (McKinsey Report, May 2013), the economic impact of Autonomous Technology could be $200 billion to $1.9 trillion per year by 2025. Knightscope’s Autonomous Data Machines will be deployed wherever interactive data gathering is needed including, but not limited to:
- CONSTRUCTION – contractors monitoring progress at construction zones
- REAL ESTATE – brokers seeking detailed traffic analysis
- DEFENSE – military bases needing perimeter surveillance
- TECHNOLOGY – tech companies needing to improve mapping data refresh rates
- SECURITY – communities improving neighborhood watch
- INDUSTRIAL – manufacturing plants improving physical inventory control
- AGRICULTURE – farms and ranches requiring monitoring
- ENERGY – power plants requiring inspection