classification

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Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Intel     Published Date: Dec 13, 2018
Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.
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Intel
Published By: 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
    
Cylance
Published By: Zynapse     Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control. Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management, odm, mmdm, material
    
Zynapse
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 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: Cisco EMEA     Published Date: Nov 13, 2017
Encryption technology has enabled much greater privacy and security for enterprises that use the Internet to communicate and transact business online. Mobile, cloud and web applications rely on well-implemented encryption mechanisms, using keys and certificates to ensure security and trust. However, businesses are not the only ones to benefit from encryption.
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anomaly detection, trust modeling, event classification, entity modeling, relationship building, internet scrapers
    
Cisco EMEA
Published By: Cisco     Published Date: Feb 23, 2016
As security continues to get more complex Cisco looks at a network visually for secuirty aspects and is not based upon classifications of boundary and segmentation. Putting the 'Network' back in Network Security is an implementation used through: Netflow, Fire & ISE, Beyond Access Control (SGT & TrustSec)
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network management, network secuirty, network optimization
    
Cisco
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 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: Verdasys     Published Date: Mar 28, 2012
In this white paper you will learn how data classification can be one of the most cost-effective methods for ensuring the value of data is maximized while still being used securely and how it can be a critical component to successfully govern information at an enterprise.
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information protection, enterprise information protection, data loss prevention software, intellectual property protection, insider threat protection, insider threat protection software, data leakage software, mobile data protection
    
Verdasys
Published By: Adobe     Published Date: Nov 25, 2013
Without document classification in play, it's impossible to know what to protect. The mobile ecosystem makes workers infinitely more productive, which is one reason that it won’t go away. This white paper explores the question: How can IT govern and protect content in such ad hoc and semi-structured environments? Please download whitepaper to learn more.
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document, document classification, document security, mobile, mobile workforce, cloud-based, mobile, mobile ecosystem, it governance, semi-structured environments, sensitive documents, corporate liabilities, enterprise, enterprise solutions
    
Adobe
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
DPI software is made to inspect packets at high wire speeds and a critical factor is the throughput and resources required. Keeping the amount of resources that integrated DPI and application classification technology requires low is critical. The fewer cores (on a multi-core processor) and the less on-board memory an engine needs, the better. Multi-threading provides almost linear scalability on multi-core systems. In addition, highly-optimized flow tracking is required for handling millions of concurrent subscribers.
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detection, rate, performance, efficiency, accuracy, encrypted apps, integration, metadata, updates
    
Rohde & Schwarz Cybersecurity
Published By: Maetrics     Published Date: Oct 08, 2015
Re-evaluating Their Importance Under a New Regulatory Spotlight Every medical device sold into Europe, irrespective of its classification, must have an up-to-date Clinical Evaluation Report (CER) as part of its Technical File.
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Maetrics
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: IBM     Published Date: Jul 08, 2016
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, forrester, data discovery, big data, data, analytics, information governance
    
IBM
Published By: TriNet     Published Date: Nov 08, 2017
Classifying independent contractors vs. employees and exempt vs. non-exempt employees can be tricky. This white paper outlines what small business owners should know and examines general standards under state and federal law for correct classification.
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TriNet
Published By: Kofax     Published Date: Sep 08, 2011
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Kofax     Published Date: Sep 08, 2011
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Palo Alto Networks     Published Date: Sep 30, 2016
Even with more advanced features and supposed higher throughput than ever before, firewalls are not able to keep up with modern demands or advanced threats. Users are more distributed than ever, and so is data. Threats are changing rapidly, and traditional defense mechanisms that rely on layered security do not work.
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palo alto, enterprise network firewall, custom applications, traffic classification
    
Palo Alto Networks
Published By: XpertHR     Published Date: Jun 13, 2018
Your supervisors are where the rubber meets the road for ensuring wage and hour law compliance. What they don’t know could hurt you—which could be a lot! Don’t risk the chance that an isolated misstep, or misinformation, could land you in court. This white paper covers training solutions for avoiding 5 Costly Wage and Hour Mistakes related to: ? Minimum wage ? Overtime ? Equal pay ? Misclassifications ? Working and nonworking time Regulations vary from state to state, and across municipalities, are constantly changing and can be very complex. You play a critical role in ensuring that front-line managers and supervisors have the information, knowledge and support they need to ensure wage and hour compliance. But, chances are, you’re also challenged to stay on top of an ever-shifting wage and hour compliance landscape. We can help. Get the up-to-date information you—and they—need, now, by downloading this free whitepaper from XpertHR.
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compliance training, supervisor training, wage and hour, minimum wage, overtime, flsa, employee classification, exempt, nonexempt, equal pay, working time, independent contractor, meal and rest breaks, compliance, hours worked
    
XpertHR
Published By: McAfee     Published Date: Jan 28, 2013
Re-think your DLP — This white paper discusses how a new DLP model aligns data discovery, classification, policy management, and security controls to your business requirements and processes.
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dlp, business-centric dlp, dlp business rules, discovery, classification, policy management, security controls
    
McAfee
Published By: CommVault     Published Date: Jun 10, 2015
Automate the burden of discovery, classification, filtering and policy assignment for virtual machine protection with Simpana® software.
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protection, data, infrastructure, cloud, operation, retention
    
CommVault
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
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analytics, security, problem solving, creative, data, researching, malware
    
McAfee EMEA
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
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src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract, transform, load, spatial analysis, operational data stores, ods, spatial data, etl, cdi, point of sale, retail floor space management, rfsm, alteryx
    
SRC,LLC
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
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