- Version 3.0
- Sold by Mphasis
The solution provides 24 hours future forecast of the cost incurred for cloud storage using historical data.
Mphasis applies next generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis FrontBack™ Transformation approach. 'Front2Back' uses the exponential power of cloud and cognitive to provide hyper-personalized digital experience to clients and their customers. Mphasis Service Transformation approach helps 'shrink the core' through application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world.
The solution provides 24 hours future forecast of the cost incurred for cloud storage using historical data.
This solution identifies finance related tables and extracts information from financial statements.
This is a Natural Language Processing based solution which can detect up to 9 aspects from online product reviews for cooling fans.
This is a Natural Language Processing based solution which can detect up to 4 aspects from online product reviews for speakers.
The solution measures the prominent robustness metrics for a Keras based classifier for tabular data classification
A multimodal container assignment and route selection solution to reduce operational cost for logistics using Quantum algorithm.
Machine Learning based solution which classifies financial news headlines into positive, negative and neutral sentiment categories.
Machine Learning based solution which classifies movie reviews into positive and negative sentiment categories.
This solution is a deep learning-based trainable algorithm, capable of detecting anomalous behavior in temperature data from IoT sensors.
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