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Propensity model that determines the probability that a China consumer enjoys a specific leisure time activity.
This solution extracts all tabular data pertaining to the Profit & Loss Statements in a company's annual report.
This solution predicts the running carbon footprint of a car
EMET malicious user journey analytics powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect threats and fraud at the application layer. It provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. This results in higher quality alerts that help security analysts reduce wasted time on false positives. This Edition supports MS365, Salesforce, OKTA, AWS, AZURE, Dynamics 365 (other SaaS applications are to be discussed separately)
Propensity model that determines the probability that a consumer uses Uber
Propensity model that determines the probability that a China consumer enjoys a specific leisure time activity.
Binary classification for LibSVM data type
Stop malicious content from infiltrating your Amazon S3 bucket by conducting real-time, on-demand, or scheduled inspections for vulnerabilities, zero-day threats, and sensitive data in files stored in the cloud.
Propensity model that determines the probability that a consumer is Planning to Buy a Car or Truck
Propensity model that determines the probability that a consumer uses Parler Regularly.
Propensity model that determines the probability that a consumer Drinks Wine.
Propensity model that determines the probability that a consumer is a Business Purchaser Influencer.
The solution predicts which customers are more likely to discontinue their broadband service provider.
Propensity model that determines the probability that a consumer has Insomnia.
Propensity model that determines the probability that a consumer uses the Shop Now feature on Instagram Regularly.
Propensity model that determines the probability that a consumer has a Hearing Impairment.
Propensity model that determines the probability that a consumer is Planning to Buy Rental Insurance.
Escala 24x7 unlocks the hidden potential of your SharePoint data. Our AWS-powered solution transforms raw information into actionable insights, empowering your leaders to make data-driven decisions that fuel growth, streamline operations, and enhance security. Experience the power of SharePoint analytics like never before.
Propensity model that determines the probability that a consumer is Comfortable with Vacation Travel.
Propensity model that determines the probability that a consumer is Planning to Purchase Versace.
Propensity model that determines the probability that a US adult is Comfortable Going to Concerts
Custom built models for fraud and anomaly detection
The solution analyses customer characteristics to predict which customers are more likely to leave the bank.
The solution provides 36 months forecast of product demand using historical monthly demand data.
Propensity model that determines the probability that a consumer goes to the Convenience Store Regularly.
Propensity model that determines the probability that a consumer is Planning to Purchase Burberry.
Revolutionize your decision-making process and maximize the value of your Teradata data with Escala 24x7. Our end-to-end solution and experienced team streamline data capture, unleashing the analytical power of your Teradata platform and turning it into a reliable source of actionable information.
In this two part training course we go hands on with machine learning tools to improve relevance. Using an open source search engine, we see our models come to life, see the pitfalls of letting machines control relevance, and work to mitigate those pitfalls. From Hello World to Learning to Rank Lessons you can avoid learning the hard way. See how you can apply open source tooling to optimize your search results with machine learning. Ideal for production focused data scientists, relevance engineers, machine learning engineers, or search developers who need Learning to Rank (LTR) training. Some familiarity with a search engine is expected.
The Modjoul Asset Utilization Model provides information on equipment usage duration. Model uses vibration of equipment to determine time.
Propensity model that determines the probability that a consumer does Fantasy Sports Online.