We make use of modern data collection tools such as biometric readers, AWS AI Deep Lens camera, Google Clips, Intel Movidius Neural Stick, GPS Tracking devices, Bionic Nature Observing device among others. They enable us capture behavioural patterns, objects, face detection, activity detection and many more functionalities.
We sort through large data sets, sometimes running into billions, to find anomalies, discover patterns and correlations in order to predict outcomes or gain actionable insights. We then investigate the data and establish new relationships and patterns for different inferences.
we interpret data through analytics to solve business problems and drive solution oriented application of artificial intelligence in Nigeria. Also, making use of predictive modelling and analysis, we can anticipate events and occurrences and plan strategically for them.
We build and integrate the applicable machine learning categories based on the business case. The categories are supervised, semi-supervised, unsupervised and active learning. In all, we teach systems to learn patterns and predict outcomes. Machine can be used across various applications such as credit card fraud detection, financial market analysis, insurance, marketing, system optimizations and a host of others.
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