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8/8/2019 Autonomy Rich Media for Share Point WP
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ZANTAZ Product Direction
White Paper
Autonomys Rich Media Solutionsfor SharePoint
8/8/2019 Autonomy Rich Media for Share Point WP
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Introduction 3
ImportanceofSupportingRichMediaContentinSharePoint 4
RichMediaisanInformationAsset 4
SearchingRichMediaisRequiredbytheLaw 4
StorageofRichMediaAssetsisLimitedbySQLServer 4
Autonomy:Pan-EnterpriseSearchforSharePoint 5
Autonomys Meaning Based Computing Infrastructure 5
AutonomyWebParts 6
AutonomyRichMediaTechnology 6
AdvancedOperations 6
SpeechAnalytics 7
TechnologyBehindSpeechAnalytics 8
Speech-To-Text 8
LanguageModeling 9
AcousticModeling 9
AudioandSpeechProcessing 10
MultilingualCapability 10
AutomaticVideoIndexing 10
DeepVideo Indexing (DVI) AdvancedFeatures 11
RichMediaArchivingandInformationRiskManagement 11
RichMediaeDiscovery 12
Summary 12
Index
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AutonomysRichMediaSolutionsforSharePoint 3
Introduction
TheexplosionofmultimediausageontheInternethasheraldedadramaticchangeinthewayindividualsexpectto
interactwithcontent.Usersareincreasinglygettingtheirinformationinmorehuman-friendlyformssuchaspodcasts,VoIP
recordingsandonlinevideo.
Asanaturalextensiontothisphenomenon,richmediahasbecomeacriticalinformationresourcefortheenterprise.With
theavailabilityofcost-effectivestorageoptionsandhigherbandwidth,itisnowfeasiblefortheenterprisetostoreand
deliverrichmediatousers.GeographicallydistributedenterpriseenvironmentshavemadetechnologiessuchasWebExand
VoIPcommonpractice.
Thiswidespreadadoptionhasledtoaproliferationofrichmediacontentasaninformation-richassetfortheenterprise.
Unfortunately,attemptstoleveragethisimmenseandstrategicresourcehaveoftenfailedbecausemanybusinesseslackthe
requisitetechnologytounderstandandeffectivelyutilizemultimediacontent.Thecurrentmethodofaddingmetatagsand
applyingmetadatatomultimediafilesinvolvesconsiderablemanuallaboranddoesnotscale.Consequently,intelligencelies
dormantincommonresourcessuchasrecordedconferencecalls,meetings,trainingvideosandbroadcastcontent.
ThegrowthofSharePointasacollaborationandcontentmanagementplatformhasmadeitadefactositeforusersto
contributeandsearchforenterprisecontent.AlthoughSharePointhousesawealthofenterpriseknowledge,usersare
unabletounlockitsfullvaluebecauseitdoesnotofferintelligentsearchofrichmediacontent.Recentregulatorychanges
havealsoplacedincreasingdemandsontheeffectiveretrievalofrichmediafiles.
Autonomy,agloballeaderininfrastructuresoftwarefortheenterprise,integratestransparentlywithMOSStoenablefull
multimediasearchandanalysisforunifiedmessaging,informationmanagementandeDiscovery.Thispaperdiscusseshow
Autonomysmeaning-basedcomputingtechnologytransformsSharePointintoamultimediacontentmanagementsystem.
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AutonomysRichMediaSolutionsforSharePoint4
Importance of Supporting Rich Media Content inSharePoint
Asacontentmanagementtool,SharePointholdsawealthofenterpriseknowledge.Unfortunately,usersareunableto
accessalargeportionoftheresourcesbecauseSharePointcannotintelligentlymanageorunderstandvideooraudioassets.
Userscanonlyretrieverichmediabasedonattachedmetadatasuchasthefilenameorinformationonthepageonwhich
itisembedded.However,allthismetadatamustbemanuallyaddedbyuserssinceSharePointoffersnofunctionalityto
automateanyoftheprocessesaroundrichmediaindexing.(Whenoneaddsthecomplicationsofmanuallytaggingfiles
withthenameofthespeaker,theidentityofpeoplewhomayappearonscreen,orevendescribingon-screenaction,one
beginstorealizetheenormityofthetaskofcategorizingandaddingdescriptiontorichmediacontent.)
ItiscriticalfortodaysenterprisetoextendSharePointtosearchrichmediafilesaseasilyasdocumentcontentforseveral
reasons.
RichMediaisanInformationAssetTheprevalentuseofmultimediatechnologyasameansofcommunicationhasnecessitatedthefindabilityofsuchcontent
asitholdsawealthofimportantinformation.Employeesareincreasinglyturningtonon-textualcontentsuchasaudio,
videoandimagesasameansofcontributingknowledge.
SearchingRichMediaisRequiredbytheLawTherecentamendmentstotheFederalRulesofCivilProcedure(FRCP)formallyrecognizedtheimportanceofalldigital
content.TheseamendmentsextendedthedefinitionofElectronicallyStoredInformation(ESI)toincludeallformsofdigital
contentincludingrichmedia/multimedia.Asaresultofthesenewregulations,allUScompaniessubjecttoaneDiscovery
ordermustbeabletolocateandproducetherelevantcontentquickly,regardlessofitsform,theearlycaseassessment.
Thus,thetasksassociatedwithfinding,reviewingandproducingrelevantESIintherequestedformisnowafundamental
requirementofdoingbusinessinorwithcompanieslocatedintheUnitedStates.
Search of video files is important for training, security, compliance and eDiscovery.
Search of audio files will increase in importance to address issues of unified
messaging, digital asset management and e-discovery.
Gartner, Rich Media, Federation and Conversation are Information Accesss Next Act, July 11, 2008
StorageofRichMediaAssetsisLimitedbySQLServerSharePointisfundamentallyafilerepositoryandcanstoredigitalassets.However,SharePointnativelystoresallbinaries
withinSQLServer,whichplacesatwogigabytelimitonanyindividualfile.Despitetheadvancesincompression
technology,videoandaudiofilesarestillnotoriouslylargeinsize,oftenexceedingthetwogigabyterestriction.Moreover,
asisoftenthecasewithSharePointdeployments,userswilloftenuploadvariationsofthesamefile,needlesslymultiplying
storageneeds.Thereforeitisessentialtointegrateatechnologythatcannotonlystoreandsearchlargerichmediafilesbut
alsoperformadvancedanalyticssuchasde-duplication.
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AutonomysRichMediaSolutionsforSharePoint 5
Autonomy: Pan-Enterprise Search for SharePoint
Autonomystechnologyenablesorganizationstohaveasinglepointofkeywordandconceptualsearchforallenterprise
information,acrossoperatingsystemsanddisparatedatarepositories,fromwithinSharePoint.Autonomyshighlyscalable
frameworkisintegratedintoMicrosoftshostedenvironmentforthecompanyslargestSharePointcustomers.Autonomyis
currentlyusedintheworldslargestSharePointretrievalproject,whichconsistsof400,000users,25,000sitesandover
onebilliondocuments.
Autonomys Meaning Based ComputingInfrastructure
AttheheartofAutonomystechnologyliestheIntelligentData
OperatingLayer(IDOL)Server.Usingcomplexpattern-matching
algorithmsandprobabilisticmodeling,IDOLformsaconceptualand
contextualunderstandingofallcontentinanenterprise,indexingand
automaticallyanalyzinganypieceofinformationfromover1,000
differentcontentformatsandevenpeopleasdatasets.Forthe
heterogeneousenterprisethatholdsSharePointasjustonesourceof
data,Autonomysmatureconnectorframework(supportingover400
repositories)enablessearchacrosstheentireenterprisecorpusfrom
theSharePointinterface,allowingforanunprecedentedviewofthe
organizationsinformationassetsaswellasforfullyFRCP-compliant
search.
IDOLservesastheunderlyingplatformforallofAutonomys
InformationRiskManagement(IRM)modules.Thisintegrated
architectureunifyingenterprisesearch,informationgovernanceand
eDiscovery,affordsanumberofsignificantbenefits.Alongwith
significantlylowerinstallationandmaintenancecosts,organizations
eliminatetherisksandexcessivecostsassociatedwithhandingoff
clientdatabetweenvendors.Theyalsobenefitfromarepeatableand
cross-functionalbusinessprocessforeDiscovery.
BuiltonaServiceOrientedArchitecture(SOA),IDOLsflexible,modular
designenablesenterprisestomatchitsbenefitstotheorganizations
needs.
Highlights
Forms a conceptual and contextual
understanding of all information in the
enterprise
Connects to over 400 content repositories
and supports over 1000 file formats,
including rich media
Enables single point of search for all
enterprise information from within
SharePoint
Offers more than 500 advanced
functions, including automatic clustering,
hyperlinking, expertise location and
implicit profiling, as SharePoint web parts
Search rich media as easily as document
content
Combines phoneme analysis with
conceptual understanding for the most
accurate speech analytics
Provides audio archiving that can also
be indexed and searched by the same
platform
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AutonomysRichMediaSolutionsforSharePoint6
AutonomyWebPartsAutonomysIDOLServerprovidesacomprehensive,scalableinformationprocessingplatform,withover500advanced
functionsfromwhichtheenterprisecanchoosetointerfaceasSharePointWebparts.
TheAutonomysolutionsdiscussedinthispaperareallavailableindividuallyorinpackagesaseasy-to-install,out-of-the-box
Webparts.
AutonomyRichMediaTechnologyAutonomyprovidesacompleteproprietaryplatformthatiswhollydataagnosticandcompatiblewithrichmediaformatsvia
broadcast,videoconferencing,VoIP,CCTVandamultitudeofothernear-ubiquitoustechnologies.Traditionalmethodsof
searchingrichmediainvolvemanuallysiftingthroughhoursofcontentinordertoapplymetatagsdenotingtheconceptual
orientationofthecontent.IDOLintegratesallrichmediaassets,automatesthekeyprocessingoperationsandenables
organizationstomanageandmanipulatemultimediaaseasilyastext.Retrievalisbasedonanapproachthatanalyzesthe
incorporatedaudiostreamtogetherwithimagerecognitiontechnologyratherthanontheoutputofaflawedtranscriptor
impreciselyapplieddatalabels.
AdvancedOperations
IDOLprovidesanabundanceofadvancedoperationstobeperformedonrichmediaasitdoesondocuments,suchasautomatichyperlinking,automaticcategorizationandde-duplication.Forinstance,whenasearchisperformed,IDOLwill
returnallconceptuallyrelateddocumentsofvaryingformatsinoneconsolidatedlist(orseparatedifdesired).Richmedia
fileswillbetreatedinthesamewayastextualcontent.Whenarichmediafileisselectedforviewing/listening,linksto
files(ofvaryingformats)thatareconceptuallyrelatedtothatselectedrichmediafilewillbedisplayedforfurtheranalysis.
SinceIDOLformsaconceptualunderstandingofrichmediafiles,itisabletodistinguishbetweensimilarlytaggedfilesand
appropriatelyapplyde-duplicationorcategorization.
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AutonomysRichMediaSolutionsforSharePoint 7
SpeechAnalyticsAutonomysspeaker-independenttechnology,basedonsuperior
speechprocessingalgorithms,enablesliveorrecordedspeechtobe
manipulated,edited,searched,andhyperlinkedasfreelyastext.Italso
developsawiderangeofspeechprocessingtechnologies,fromaudio
segmentationandidentificationtoreal-timespeechrecognitionand
understandingfrombroadcastmediaandtelephony.Everyrecorded
voicetransaction,aswellaseveryelementwithinthoserecordings,
becomeseasilysearchable.Byautomatingformerlymanualdata
miningprocesses,IDOLrepresentsamajorenhancementinmany
practicalareas,suchascontactcenterqualitycontrol.
Thislanguageindependentcoretechnologyiscustomizedtothe
specificlanguageandvocabularyrequiredbytheuser,usingspecialist
LanguagePacks,deliveringdramaticallymorereliablerecognition
formultipleapplications.Autonomysupportsavirtuallyunlimited
vocabularysizeforanunrivalledrangeofsingleandmulti-byte
languages,includingthosetraditionallyconsideredmoresensitiveand
problematic,suchasArabic,RussianandJapanese.Alltrainingisdone
automatically,usingmillionsofhoursofmaterial,deliveringstate-of-
the-artaccuracywhilesignificantlyreducingcosts.
Thetechnologysextensivevocabularyspeechsystemsucceedsfor
anyaccentandrapidityofspeech.Italsoprovidesvariousadapters
toaccommodateaudioencodingsacrossagamutofqualityand
compressionschemes,andofferstheflexibilityofalanguagemodelthatcanbetailoredtoindustryjargon.
Inaddition,Autonomyincludesadvancedaudioprocessingcapabilitiessuchasspeakerandaudiosegmentation,speaker
recognitionandclassification,audio/textsynchronization,andsoundandmusicanalysis.Theseuniquecapabilitiescan
becombinedwithotherIDOLfunctionalitytoensureunrivalledaccuracyinretrievingandprocessingvideoandaudio
data.BycombiningcomplexmathematicalmodelsofnaturallanguageanalysiswithIDOLsmeaning-basedtechnology,
Autonomyprovidesaccurate,content-basedretrievalofinformation.Whilelegacyphoneticapproachesmerelyusekeywords
andcannotcontendwithvariantexpressionsofanidea,IDOLunderstandsthelanguagebehindthespokenwords,even
distinguishinghomophonesandphrases.Forinstance,IDOLwouldnotbeensnaredbythefollowinggaffethattypifies
technologiesdependentsolelyonphonemeprocessing:
The oil spill will recognize speech
The computer will wreck a nice beach
Autonomyuniquelysupportsconceptualmatch,soiftheaudiocontainedthephraseUniversityofCambridge,thesearch
wouldincludethetermCambridgeUniversity.Again,legacyphoneticsearchwouldfailinthisscenario.
SharePointuserscansearchrichmedia
aseasilyastextbyintegratingwithIDOL,
whichenables:
Retrieval of information according to
its meaning, thereby distinguishing
homophones
Use of both phonetic and conceptual
approaches to offer unique high-level
functions
Audio, video, email and chat to be indexed
and searched alongside other data formats
Unrivalled accuracy by understanding
words in context
Speaker and audio segmentation, speaker
recognition and classification, and audio/
text synchronization
Automatic capture, encoding and indexing
of video and audio content
Automatic generation of metadatano
need for manual tagging
3-D facial recognition
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AutonomysRichMediaSolutionsforSharePoint8
Autonomyalsounderstandshowcontextcanalterthemeaningofwords.PresentedwithanewsstoryinvolvingtheWhite
House,forinstance,AutonomytechnologywouldpredictthewordBushislikelytofollowGeorge,andwouldaggregate
informationundertheassumptionthatBushreferstoapersonandnotaplant.
TechnologyBehindSpeechAnalyticsWhereaslegacytechnologiesseekonlytomatchsounds,Autonomyusessophisticatedmathematicaltechniquesto
identifyandunderstandtheconceptualrelationsbetweenwordsthatdeterminetheirmeaning.Autonomycombinesboth
phoneticandconceptualmethodstodisambiguatethelimitationsinherentinkeywordandphonemematchingapproaches,
combiningdramaticallymoreaccuratelanguagerecognitionwithpowerfulinformationretrieval.
Autonomysapproachtakesintoaccountthevariable,complexandfundamentallyhumanaspectsoflanguagethat
simplisticphoneticapproachescannotaccommodate.
SomeoftheuniquebenefitsprovidedbyAutonomysspeechanalyticstechnologyinclude:
Retrieves information according to its meaning, not just sound matchingOffers unrivalled scalability for high-level deployments
Combines phonetic and conceptual approaches to offer unique high-level functions
Allows audio and video to be indexed and searched as easily as text
Understands words in context for unrivalled accuracy
Patented search technology drastically reduces CPU and memory requirements
Automatic customization via additional text material
Fixed-latency real-time mode for media monitoring operations
Speech-To-TextAutonomysspeech-to-texttechnologyusespowerfulstatisticalalgorithmstocreatealanguage-independentmathematical
modelofspeech:
Word Spotting
Advantage
Disadvantage
Phonetic Index Language ModelSelf-learning
Language ModelConceptual andLegacy Methods
Earliest Method Latest Method
Simple, lowcomputation, usefulfor IVR
Autonomy offers all methods and has developed these systems originally for use in the UK and US Intelligence community.
Cannot handle silencein conversationalspeech>fails
Limited predefinedkeywords spotted
Find arbitrary word,low computation
Accurate, flexible, canfind arbitrary word,phrase, etc.
Very accurate, flexible,can find arbitrary word,learns new words usageautomatically, no helpfor dictionary set-up
Can find ideasirrespective of wordsused
Many misidentifiedwords, sometimesappears within otherwords (catis incatastrophe)
Sensitive to noise,bandwidth, accent - asphonemes are different
Needs dictionary andpre-defined languagemodel set-up
Higher computationalload than word spottingand simple languagemodel
None relative toprevious models
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AutonomysRichMediaSolutionsforSharePoint 9
P(W) is the probability of word string W the Language Model
P(A/W) is the probability of an acoustic sequence A given W the Acoustic Model
BycombiningthesemodelsandusingBayesprinciples,AutonomyidentifiesthewordstringWashavingthehighest
probabilitygiventheacousticsequence:
Thismodelprovidestheprobabilityofawordsequenceoccurringandthestatisticalrelationshipsbetweenwordsthatdeterminetheirmeaning.
AutonomythenoffersLanguagePacksthattailorthislanguage-independentcoretechnologytospecificcustomer
requirementsandensurethesystemoperatesatoptimumefficiencywithinanyspecificenvironment.Thisincludesan
AcousticandLanguageModelandapronunciationdictionary.
LanguageModelingAutonomyusesalargetextcorpora,includinghundredsofmillionsofwords,totrainthesystemandrefineitsaccuracy
accordingtothespecificrequirementsofcustomers.Thisensuresthesystemisabletodeterminetheprobablemeaningof
anyhomophoneorpoorlyarticulatedwordaccordingtoitscontext:
Can I help you? vs. Can eye help you?
Thelanguagemodelrefinestheaccuracyofthesystemwithinagivencontext,whilethetrainingtextgeneratesallrequired
pronunciationsanddeterminesthewordsthatcanberecognized.Thisincludesspecificvocabularysuchasmedical,
financialormilitary,aswellastopicinformation,colloquialismsandcompanyspecificwordssuchasproductnames.
Forexample:
Release Language Model:
Sleeping is foremost a podium at how a dormitory that hit him again keep a high grade in his color index the
Forbidden Forest in the grounds and especially Goodrich the most popular sport in the woods of the world
Language Model customized using text from Harry Potter novels:
Sleeping his four poster bed in the tower dormitory visiting the gamekeeper Hagrid in his cupboard next to the
Forbidden Forest in the grounds and especially Quiddich the most popular sport in the wizarding world
Harry Potter specific words added:
Hagrid, Quiddich, wizarding
AcousticModelingTheLanguagePackalsoincludesanAcousticModelthatpatternsthesoundsthatcompriseaspokenlanguage.This
modelcustomizesthesystemaccordingtothecontextthatthetechnologywillbeused,suchasforbroadcastmonitoringor
telephony,extractingenergyatdifferentfrequenciesaccordingtoaudioformat.Complexstatisticaltechniquesmodelboth
thesoundsandaudiocharacteristicsoftheaudiofeedtocreatestate-of-theartmodelsforco-articulation:
could you -> cud ju
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AutonomysRichMediaSolutionsforSharePoint10
Audio&SpeechProcessingAutonomyalsoprovidesadvancedspeechprocessingtechnology(i.e.speakerandaudiosegmentation,classificationand
audio/textsynchronization),whichallows:
Generation of real-time transcriptions of audio streams
Automatic addition of timing to transcriptions
Subtitle and audio book applications
Theseadvancedcapabilities,whenintegratedintoAutonomysrichmediaandcustomerrelationsmanagementapplications,
offerusersanunrivalledlevelofaccuracyinretrieving,categorizingandprocessingaudioandvideodata.
MultilingualCapabilityAwiderangeoflanguagesarefullysupportedbyAutonomy,includingthosewhichrequiremulti-byteencodingcapabilities,
suchasArabic,MandarinChineseandRussian,aswellassingle-byteEuropeanlanguagessuchasEnglish,Frenchand
Spanish.Autonomysupportsbothsingle-byteandmulti-bytelanguages,andistheonlytechnologyonthemarketthat
allowsuserstosearchforeignmultimediaintheirnativelanguage.Forexample,thecontentofArabicbroadcaststreams
canbesearchedinEnglishandthecontentfullyunderstood.
AutomaticVideoIndexingAutonomyautomaticallyextractsinformationfromwithinthevideofileitselfratherthanrelyingonhumandefinedmetatags,
whicharebytheirverynaturesubjectiveandlimitedinscope.Autonomycanextractacomprehensiverangeofdatafrom
multimediaincludingafulltranscriptoftheaudiostream,on-screencharacterrecognition,keyframes,facialrecognition
andspeakerinformation,allofwhichislinkedtotheoriginalvideofile,allowinguserstolocatecontentwithpinpoint
accuracy.
Autonomyprovidesuserswithanunrivalledrangeofvideoanalysistoolssuchasscenedetection,findsimilarfunctions
andconceptualanalysis.Inaddition,videocontentcanbeautomaticallycross-referencedwithanyotherformofinformation
suchasPowerPointpresentations,worddocumentsorWebpages.Inthisway,Autonomyensuresthatrichmediais
immediatelyfullysearchableandaccessiblebyanyuser.
Automatically capture, encode and index television, video and audio content
Automatically generate metadatano need for manual tagging
Automatically cross-reference multimedia with any other form of information
Autonomyoffersrichmediacontentmanagementwithitsadvancedarchivalsystemthatstores,categorizes,manages,
retrieves,anddistributesmultimediacontent.Inadditiontoindexingandperforminganalysis,itcanautomaticallyclipand
segmentpartsofthevideousingconceptualintersection.Autonomyalsosupportsthecreationoflive,interactiveWebcasts
andon-demandarchivedWebcastevents.Itcombinesstreamingaudioandvideowithslides,documents,Q&A,andpolls
forafullinteractiveexperience,allwithasimpleinterface.
Autonomycanalsoanalyzeanimageandautomaticallyshowimagessimilartotheoneselected.Automaticimage
associationisidealforsuchapplicationsaspicturelibrariesandimagearchives,investigations,andresearch.
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AutonomysRichMediaSolutionsforSharePoint 11
DeepVideoIndexing(DVI)AdvancedFeaturesDVIuniquelytacklesthechallengeofassetidentificationandmanagementthroughitsuseofacascadeapplication
methodthatlayerstechnologyanalyticsincreatingauniquefingerprintforallvideoassets.Thisfingerprintisaflexible
representationoftheassetwhosecharacteristicscanbeextractedorcanbeusedtodeterminesimilaritiesbetweenassets.
Duetothisunique,flexiblemodeofassetrepresentationwithintheIDOLconceptualindex,manyofthechallengesthat
traditionallyplaguethevideomediumareovercome.Suchissuesassphericaldistortion,artifactsfromlowresolution,
transcoding,screeninclusion(i.e.assetswithinassets),audiodistortionsandaudiomismatching(e.g.translations,
misalignment)donotaffecttheintegrityoftherepresentation.
Openlyconfigurable,theDVIfunctionalityusesnumerousproprietaryapproachesinaconfigurablelatticewhichcanbe
weighedwithintheDVIfingerprintasseparateentitiesorasawholeunit.Thesetechnologicalapproachesinclude:
Texture trajectory analysis
Advanced OCR
Spectrum trajectory analysis
Advanced scene analysis
RichMediaArchiving&InformationRiskManagementWithIDOLSpeechtechnology,customerscanarchiveallformsofrichmedia,includingallrecordedphoneconversations,
andeffectivelyprocessandanalyzethatdataforregulatorycomplianceaswellasriskmanagementandqualitymonitoring.
Telephonerecordingorvoicelogging,firstusedbycallcentersisnowbeingusedbymanyenterprisesfortechnical,costs,
andriskmanagementpurposes.Anelectronicallystoredcopyofphoneconversationsprovidesevidencethatthecompany
adherestoindustryandgovernmentalregulations.
Theprimarymethodformanaging recordingsistoleavethefilesin placeonthesourcesystememail orVoIP.This
methodologyresultsinanumberofissuesincluding:exponentialstoragecosts,performancedegradationofthesource
systemandlegalsearchfunctions,deletedorlostrecordsanddifficultandtime-consumingeDiscoveryandauditprocesses.Companiesattemptingtooffloadaudiofilestolow-coststoragesystemsoftenfindtheyhavenocost-effective
methodofcategorizing,searchingorrespondingtoaneDiscoveryorauditrequestontheorphanedcontent.Thedata
mustbereviewedandtaggedmanuallyfilebyfile,withinevitablereprocessingasthemetadataandrecordsmanagement
requirementsevolve.Thistime-consuming,error-proneandexpensivemethodisnotscalable.
Autonomysarchivingfamilyofproductsprovidesfullyintegratedarchiving,compliancemonitoringandeDiscoveryofaudio,
video,andtextfilesfromover400contentsourcesincludingemailservers,phonesystemsandcontentmanagement
systemssuchasSharePoint.Theunifiedplatformaddressesallrequirementsformanagingmultiplecontentformatsfrom
multiplesystems.Theserequirementsincludetransparency,automaticclassificationandcategorization,rapidlegalsearch
andretrievalbasedonmetadataandtheactualcontentofthefileincludingthecontentofaudiofiles.Thereal-timepolicy
managementcapabilitiesprovidegranularcontrolovermanagementofcalls.Thedispositionofcallsisfullyconfigurable,
spanningsourcepolicies,calendarpolicies,archivingandroutingpolicies,andcorporaterecordsmanagementpolicies.For
exampleallaudiorecordingsfortheseniormanagementteamareroutedforlong-termarchive,whilehelpdeskcallsare
managedinlocalstoragefor90daysandthenaredeletedunlessalegalholdisapplied.
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AutonomysRichMediaSolutionsforSharePoint12
TheAutonomysolutionusesastubbingmechanismthatremovesthelocalcopyofthefilereducingtheloadonthesource
system,whileprovidingtheenduserfullaccesstotherecordingevenwhenoffline.Thearchivedcopyoftherecording
isprocessedbytheIDOLspeech-to-texttechnology,creatinganindexofthecontentinthefileinadditiontoarichsetof
automaticallycreatedmetadatainformation.
RichMediaeDiscoveryIDOLsadvancedspeechanalyticseliminatestheneedtomanuallyreviewallcontent.Investigatorsnowhavetheabilityto
combinesearchphraseswithIDOLmetadatasuchasdate,speaker,inbound/outbound,durationandemotiontoquickly
cullthemostlikelycontentforfurtherprocessing.Awiderangeofvisualizationtoolshelpinvestigatorscategorizecallsand
lookforunexpectedpatternsofactivity.Theinvestigatormayflagcallsforindividualreview,drillingintothecontentusing
ad-hocsearchingtolookforspecificwordswithintherecordingorforacompletereviewforrelevancyorprivilegetagging.
Summary
Traditionally,multimediacontenthasbeenconsideredanunwieldyresource,requiringconsiderableman-hourstoextracttangiblebenefitsandreturns.Asaconsequencethemajorityoforganizationshavefailedtoutilizethevaluableintelligence
containedwithinresourcessuchasrecordedmeetings,trainingvideosandbroadcastcontent.
AutonomysadvancedrichmediatechnologyenablesSharePointuserstotakefulladvantageoftherichesofinformation
thatresidesintheircontentmanagementsystem.Byautomatingmanyofthekeyprocessespreviouslyperformedmanually,
AutonomyallowsSharePointtobecomeatruemultimediacontentmanagementportal.
Autonomys products bring order to information chaos, but in an economic and user
responsive way.
Kevin Phillips, BAE Systems
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The information contained in this document represents the current opinion as of the date of publication of Autonomy Systems Ltd.regarding the issues discussed. Autonomy's opinion is based upon our review of competitor product information publicly available as
of the date of this document.
Because Autonomy must respond to changing market conditions, it should not be interpreted to be commitment on the part ofAutonomy, and Autonomy cannot attest to the accuracy of any information presented after the date of publication.
This document is for informational purposes only; Autonomy is not making warranties, express or implied, in this document.
(Autonomy Inc. and Autonomy Systems Limited are both subsidiaries of Autonomy
Corporation plc.)
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