Use different neural networks such as CNN and RNN for detection and analysis of rich image, audio and video data.
Nautural Language Processing (NLP)
Apply ML to process text and speech for business use cases, for example customer sentiment analysis and marketing campaign automation.
Use advanced AI for human like interactions with a virtual assistant, which saves time on mundane tasks.
Big Data Architecture
Handle seamlessly the ingestion, processing and analysis of vast quantities of data.
Divide data into cogent segments to derive actionable insights tailored for each segment.
Predictive Modelling and Anomaly Detection
Use proven ML-based techniques such as logistic regression and unsupervised learning approaches to predict trends and detect potentially threatening anomalies in data.
Time Series/Streaming Analysis
Ingest vast amounts of continuously updated data from disparate sources, including IoT-enabled products. Monitor this real-time data with sophisticated time series variable analysis to understand underlying correlations and make predictions.