Autonomy Rich Media for Share Point WP

8/8/2019 Autonomy Rich Media for Share Point WP

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ZANTAZ Product Direction

White Paper

Autonomys Rich Media Solutionsfor SharePoint


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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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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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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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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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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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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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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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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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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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