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Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: IBM Software     Published Date: Oct 24, 2011
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved and much more!
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data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this in-depth report to find out how 117 executives of successful companies are reducing maintenance costs, downtime and safety incidents.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
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