Bottlenose vs DataRPM comparison

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    Bottlenose
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    Overview

    Nerve Center applies continuous data-mining, analytics, and machine learning algorithms to detect, understand, and anticipate change.

    The platform initiates discovery by bringing trends, anomalies, and patterns to the surface. The technology is used to identify emerging opportunities and threats to provide clarity in situations of uncertainty.

    DataRPM delivers a Cognitive Predictive Maintenance (CPdM) Platform for Industrial IoT. DataRPM uses Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures. CPdM is a full stack platform available on cloud or on premises that connects to the data lake and then automatically runs multiple Machine Learning experiments, finds patterns & anomalies in data, identifies influencing factors & predictors, and builds an ensemble of predictive models to automate Predictive Maintenance. Not only does CPdM platform delivers descriptive, predictive, prescriptive analytics through Natural Language Discovery module but also provides a closed loop system by integrating these actionable insights through APIs to ERP, CRM, and CMS systems. 

    Sample Customers
    Immersive Entertainment
    Cisco, Micropact, Orange, Jaguar, Transaction Network Services

    Bottlenose doesn't meet the minimum requirements to be ranked in Emerging Solutions while DataRPM is ranked 6th in Anomaly Detection Tools. Bottlenose is rated 0.0, while DataRPM is rated 0.0. On the other hand, Bottlenose is most compared with SAP Analytics Hub, whereas DataRPM is most compared with .

    We monitor all Emerging Solutions reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.