Bring us your Big, Dirty, Real-world Sensor Data
Real-world data has errors, noise and some proportion of measurements are completely irrelevant. Whether gathered by sensors or recorded by human observation, the context of the data and the goals of the analysis must be accounted for by the algorithms applied. Intelligent algorithms are required to optimize the usability of data gathered under noisy, real-world conditions.
At Context Data Analytics, we start with the data (big, small, noisy, dirty) and the questions you’re trying to answer. A deep dive into the context of the problem and the sources and semantics of the data provides the insight to apply advanced analytics and formulate targeted solutions. The services we provide have yielded actionable sensor data insights and successful applications in areas as diverse as medical diagnostics (FDA), robotics, virtual/augmented reality and autonomous vehicle navigation and control.