CACI has over fifteen years of experience in protecting space missions and related infrastructure. Their CACI Space Operations and Resiliency program offers real-time data collection of launch systems, satellite constellations, foreign signals, and more. Combined with deep learning algorithms, data fusion, and data visualization, space missions can be defended from both human error and malice.
Sensor-enabled vehicles use an autonomous navigation system to move through the atmosphere or down roads and terrain without direct, continuous human direction. Vehicles that use autonomous navigation systems include robots, spacecraft, ships, airplanes, and cars.
Naturally, there is a lot of overlap between this use case and remote navigation systems.
A predictive maintenance model uses sensors and IoT technology to monitor the condition of equipment and predict when it will need repairs or replacements. This equipment may be anything from personal cars to large factory machines.
The machine learning programs used to run these models tend to take either the regression approach or the classification approach. Regression produces more accurate results but relies on more data; classification best predicts equipment failure within a set time period.
Open Cosmos Space Data uses satellites to manage disaster response, air traffic, space-based research in, for example, micro-gravity, & more
Novetta Multi-Int Analytics supports military, federal, & internat’l uses with sensor and system data for quick processing & visualization
Novetta Data Analytics analyzes geospatial, biometric, identification, & other data to support law enforcement, maritime, & other uses
CACI has over fifteen years of experience in protecting space missions and related infrastructure. Their CACI Space Operations and Resiliency program offers real-time data collection of launch systems, satellite constellations, foreign signals, and more. Combined with deep learning algorithms, data fusion, and data visualization, space missions can be defended from both human error and malice.
Sensor-enabled vehicles use an autonomous navigation system to move through the atmosphere or down roads and terrain without direct, continuous human direction. Vehicles that use autonomous navigation systems include robots, spacecraft, ships, airplanes, and cars.
Naturally, there is a lot of overlap between this use case and remote navigation systems.
A predictive maintenance model uses sensors and IoT technology to monitor the condition of equipment and predict when it will need repairs or replacements. This equipment may be anything from personal cars to large factory machines.
The machine learning programs used to run these models tend to take either the regression approach or the classification approach. Regression produces more accurate results but relies on more data; classification best predicts equipment failure within a set time period.
Fleet management uses IoT and other technology to monitor the movement and function of a fleet of vehicles. These vehicles may be trucks, cars, or ships.
Whether for vehicles, industrial equipment, or mental health conditions, diagnosis is crucial to resolving problems but very difficult to do remotely. Thankfully, however, new advances in technology and artificial intelligence have made remote diagnostics possible.
V2X Technology uses wireless devices in vehicles and other objects to integrate internal and external data in real time via machine learning programs to improve road safety
Exante Global Flow Analytics supports alpha generation and risk management by extracting comprehensive price signals from detailed capital flow analysis. Exante complements hard data and raw model outputs with timely, narrative-based content, focusing on key global thematics and risk scenarios. Additionally, Exante maintains dialogues with their clients, providing bespoke coverage and service.
Stirista offers data that politicians and advisors can use to reach out to constituents and donors. Stirista has (so far) 150 million registered voter details sorted into 360 data points, including donation history. With this contact, demographic, web, and behavioral information, Stirista Political Data enables targeted advertising and outreach.
Stirista can also provide historical campaign data at all levels to help politicians plan effective political strategies.
Acxiom Infobase provides customer insight data for targeted marketing campaigns in a wide variety of industries
Acxiom Personix offers people and customer lifetime value data as well as consumer behavior profiles
AnalyticsIQ’s BusinessCore Database provides B2B marketing data on 18 millions businesses and 60 million business professionals.
The BusinessCore Database collects company data and people data. The company data includes contact information, purchase drivers (price, for example), and transaction history. The people data includes personnel contact data, role in the company, and purchase transaction history.