classification

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Published By: IBM Corporation     Published Date: Apr 26, 2010
Register now to access a Smart Archive Strategy Library of assets that will help you make a case for the unified collection and classification of content and data.
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ibm filenet, mail archiving, sharepoint archiving, file share archiving, backup and recovery, smart archive, information management, storage management
    
IBM Corporation
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: IBM     Published Date: Feb 18, 2009
The basic principles for managing an archiving project presented in this paper can help you initiate and plan an archiving strategy that meets your organization’s requirements.
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ibm integrated data management, peoplesoft, business critical erp applications, daily operations, database archiving, data growth, archiving project, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
    
IBM
Published By: McAfee     Published Date: Nov 12, 2014
This white paper outlines the best practices for better data loss prevention for healthcare organizations—from data discovery to classification to protection.
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data loss prevention, dlp, healthcare, dlp best practices
    
McAfee
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: IBM     Published Date: Oct 22, 2014
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization's risk and enhancing security.
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data classification, data discovery, defining data, data identity
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization's risk and enhancing security.
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ibm, data discovery, data classification, big data, risk mitigation
    
IBM
Published By: IBM     Published Date: Jun 05, 2018
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error. Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding. Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
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IBM
Published By: IBM     Published Date: Apr 06, 2015
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization's risk and enhancing security.
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data discovery, data classification, security, risk, ibm
    
IBM
Published By: SPSS     Published Date: Jun 30, 2009
Predictive analytics plays a vital part in growing your business. Read this whitepaper to discover the five keys to organic growth for your business.
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spss, organic growth, roi, predictive analytics, profitable relationships, predictive enterprise, statistical methods, statistics
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
Predictive analytics plays a vital part in growing your business. Read this whitepaper to discover the five keys to organic growth for your business.
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spss, organic growth, roi, predictive analytics, profitable relationships, predictive enterprise, statistical methods, statistics
    
SPSS, Inc.
Published By: APC by Schneider Electric     Published Date: Feb 15, 2011
This paper divides the realm of data center "Operations Technology" into four distinct domains and compares the primary and secondary functions of key subsystems within these domains.
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apc by schneider electric, classification, data center operations technology, ot management tools, software management tool, physical infrastructure
    
APC by Schneider Electric
Published By: GSS Infotech     Published Date: Nov 11, 2010
The purpose of this paper is to provide a clear understanding of HIPAA and ICD migration, analyze the benefits beyond ICD remediation by providing regulation insights, and discuss the impact of the new regulations on systems,
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healthcare, healthcare regulation, icd 10, icd challenges, icd transition, hipaa, hipaa 5010 migration, e-learning tool
    
GSS Infotech
Published By: Varonis     Published Date: Nov 12, 2013
The purpose of this document is to explain how Varonis products can help ease migration to Microsoft SharePoint, and how it can help keep data properly managed and protected once data has been moved.
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varonis, sharepoint, sharepoint migrations, managing sharepoint content, protecting sharepoint content, project plan, sharepoint deployment, datadvantage
    
Varonis
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: Forcepoint     Published Date: Oct 03, 2019
In part two of the Unified Data Protection for a Hybrid IT World webinar series, we take a deeper dive into use cases around the challenges that businesses are facing today and how Forcepoint’s solutions meet your data protection needs. Understanding the location of all data, whether at-rest, in-use, or in motion across on-premises and the cloud is essential to keep data safe and secure. This enables companies to identify their riskiest users and behaviors. With Forcepoint, you can automate the identification, classification, and protection of critical data. This webinar explores how companies should rethink data security. Protecting critical data and intellectual property requires a risk-adaptive, dynamic approach, including these three main components. Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of c
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Forcepoint
Published By: Box     Published Date: Jun 22, 2018
• There are many opportunities for businesses to introduce the concept of paper-free or less intensive paper processes to their organizations. AIIM 2016 Industry Watch research found that “58% of respondents described their inbound handling of content as ad-hoc”. This is not surprising given paper is still fairly dominant in many businesses due to human desire to keep paper in hand for reading, note taking, and still today, signatures. • In this study we take a look the challenges businesses face in relation to: o Digital Transformation of their business operations o Capturing and managing multi-channel inbound content, including paper o Steps taken to automate the information capture process o Use of analytics to enhance the identification and classification of capture information o A look ahead at the next 5 years to understand where businesses are focusing their efforts and funding
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Box
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