Pixeleye uses Artificial Intelligence and Machine Learning services to provide core business capabilities in unstructured and New Data analytics, autonomous data modelling or processing, and perspective analytics. Pixeleye also helps organizations accelerate business efficiencies through Deep Learning, based on learning data representation algorithms instead of task specific algorithms. The Artificial Intelligence and Machine Learning Services (AI/ML) will focus on the application of machine-based decisioning and auto-remediation to help carriers keep pace with the growth in network size, traffic volume and service complexity, as well as define new approaches to network operations and customer assurance to support the accelerated deployment of new over-the-top services, autonomous vehicles, drones, AR/VR and more. The group will define and share reusable, proven practices, recipes, models and technical requirements for applying AI and machine learning to reduce the cost to plan and operate telecommunications networks.
ML-based network operations, optimization and planning to enhance intelligence in network operations areas through, for example, predictive maintenance and dynamic resource allocation.
Industry best practices for Web Datamining, Social Media Mining, Parsing, Lemmatization, Tokenization, POS Tagging, Entity Recognition, Text Classification, Topic Modelling.
Advanced Algorithms like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short Term Memory Networks (LSTM), Recurrent Neural Tensor Nets (RNTN), Deep Bayesian Networks, Deep Belief Networks
Advanced techniques like Ensemble Modelling (Bagging, Boosting, and Random Forests), Multilayer Perceptron, Feed-forward Neural Networks and Backpropagation
Advanced Techniques like Auto Encoders, Belief Networks, and Restricted Boltzmann Machines (RBM)
Modern Cognitive Engineering approaches to automate both structured and semi-structured processes