A 6 week time-boxed discovery exercise fed by a series of workshops, interviews and documentation reviews to produce a concise capability and maturity assessment output enabling a prioritised roadmap of recommendations to optimise your contact centre. Understand how to modernise and future-proof...
This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for text classification. This will reduce the time and effort for the model...
Algorithm - Fulfilled on Amazon SageMaker
The Pandemic created new challenges for contact centres - increased volume of calls and their complexity, a need to supporting agents working remotely from home, in distributed environments and enabling digital channels for communicating with consumers . These challenges required contact centre...
Target customers with applicable promotions and treatment optimizations with this need-state segmentation model. Need State Segmentation model analyzes thousands of customer attributes and behaviors, from demographics to spend and trip patterns. Grouped and applied to the entire customer base,...
Model Package - Fulfilled on Amazon SageMaker
Pindrop combines best-in-class audio, voice, and AI technologies with a comprehensive risk database to provide added protection across the phone channel. Pindrop's multifactor voice authentication and anti-fraud solutions work together for enhanced protection and more detailed cross-channel...
This solution helps us in automatically creating alterations in the existing image data to create a more comprehensive set of possible data points. The module provides a solution to the limited data problem for training deep neural networks. It makes the data rich and thus helps the model perform...
Model Package - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Comfortable Going to the Gym. Lift over Random 1.27 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 31,000 US adults surveyed between April to July 2020 from...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
"This solution uses Claude 2.1, a Large Language Model to extract intricate financial data from stock analyst reports. By leveraging the prowess of generative pre-trained transformers, this solution accurately retrieves information from various lengthy and complex stock analyst reports supplied in...
Model Package - Fulfilled on Amazon SageMaker
The AWS platform offers a great number of tools and components to build production ready MLOps pipelines. To unlock the power of these cloud native components a skilled team of experts is required. Orange Business Services is providing the expertise as well as the asset of a ready-to-deploy MLOps...
showing 2071 - 2080