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文档简介
MultimediaBigDataAnalyticsLimited(MBDA)
MakingAdvancedVisualAnalyticsAccessibleandAffordable
0
WhyAnalyticsMatters?
By2020:
There’llbemorethan2billionsmartphoneusersgeneratingvisualdataworldwide
1
GlobalvisualanalyticsmarketwillbeworthUSD5.74billion
TopReasonsforAnalytics
Better&fasterbusiness
decisions
2
Improveplanning&forecasts
Understandusers
Driverevenue
TopReasonsforAnalytics
Although90%oftheworld’sdataisgeneratedinthelast2years
Only5%ofthedataisanalyzed
notanalyzed
Why?
Developmentcost&time
Specialistsneeded
Findingtherighttechnologies
3
https
://ww
w
.fo
rb
/sites/louiscolumbus/2015/03/15/data-analytics-dominates-enterprises-spending-plans-for-2015/#793a09ed1801
https
://w
ww
.b
i
/group/about-the-bisnode-group/a-world-of-information/
PAGE
8
OurAwardWinning&PatentedTechnologies
Globallyaccessible24/7
Scalable
Fastandaffordable
Backedbyuniversityresearch
Costeffective,withouttheneedofinfrastructureorspecialists
Ouruniquealgorithmhelpscompaniesgainuserinsightsandmake
recommendationswithminimalinformationrequired
Services&Products
DiscoveruserinsightsfromImages
Recommendation
Digitalforensics
etc.
Discoverdatainsights
Visualdataannotation
VisualIPprotection
etc.
product/service
recommendation
visualdataannotation
digitalforensics visualintellectual
property(IP)
protection
ProofofConceptprototype,VisualIPSearch(available:
)
Scenario1:ProductRecommendation
Usersgenerateimageson
productsandshare.e.g.,
/
Auserpreferenceinferred(e.g.relevantcuisines/restaurants)
Generaterecommendations,e.g.,restaurants/foodstodriveimpulsepurchase
*Nomanualinputsrequiredonimages
Scenario2:TargetedMarketing
Targetedmarketingimproveeffectivenessofadvertisementse.g.,onGoogle/Resonance
Userpreferenceisinferredfromsharedimages(e.g.onevents/products)
Onlyadvertisingbrands/eventstousersthattheywilllikelyprefer
*Nomanualinputsrequiredonimages
RevenueModelandProjections
Freetrial
Subscription
Enterprise
objectrecognition
1000requests/day
unlimited
unlimited
connectiondiscovery
N/A
unlimited
unlimited
price
free
$50K/month
$300K+/month
predictedHKD$10M/yearrevenuefromon-goingsubscriptions
$15
Millions
$10
$5
$0
$10M
$4M
$1M
Q4,2017 Q4,2018 Q4,2019
ProjectionsBasedon
300K–700K/enterpriseclientperyear,&
2,6and14newenterpriseclientsneededin1st,2nd&3rdyear
PricesinHKD
Planfor10MRevenue/Yearin2019
Technologyandproductplan
Expandourdatascienceteam
DeploymoreadvancedAaaS,ontopofdeployedVIPSearch
DevelopaDataasaService(DaaS)fromAaaSdata
Businessplan
HirebusinessdevelopmentmanagersfromLocal/SoutheastAsia/China
9
Buildacustomerserviceteam
WhoWeAre
Auniversity-researchbasedcompanyforvisualdataanalytics
SamLi
SystemEngineer
BryanLeung
WebDeveloper
FelixChau
DataEngineer
LeoLi
DataEngineer
TwinkleTam
AdminandHR
ToniaYim
MarketingDirector,MBA,HKUST
10
Prof.JamesShe,Co-founderAssistantProfessorandDirectorHKUST-NIESocialMediaLab.,HKUST
MingCheung,Co-founder
Ph.D.candidate
HKUST-NIESocialMediaLab.,HKUST
Patent-filedTechnologies
Patent-filed“SystemandMethodsofUsingUser-associatedImagesforUserUnderstandingandInformationRecommendation”(TTC.PA.0779)
Proof-of-ConceptFundoftheUniversityforprototypebuilding(PCF.018.14/15)
TheUniversityfornationalphasepatentprotection(PCT/CN2015/084786)
Awards,andFunding
CyberportforTheCyberportIncubationProgramme
CyberportforTheCyberportCreativeMicroFund(CCMF)
TechnologyStart-upSupportSchemeforUniversities(TSSSU),launchedbytheInnovationandTechnologyCommission
YeungWingYeeEntrepreneursFund
2016thePotentialandInnovationAward,in"海峽兩岸及港澳地區創新創業大賽"organizedbyJinanUniversity
11
PAGE
14
WeareseekingHK$3milliontomake$10millionperyearrevenueby2019
Pleasecontactusforfurtherdetails
Ming(
cpming@ust.hk
)
Tonia(
ttlyim@connect.ust.hk
)
James(
eejames@ust.hk
)
Appendix
BackedbyOn-goingResearch
M.Cheung,LI,Xiaopeng,andJ.She,“AnEfficientComputationFrameworkforConnectionDiscoveryusingSharedImages”
inIEEETransactionsonMultimedia.2017(underminorrevision)
M.Cheung,andJ.She,“AnAnalyticSystemforUserGenderIdentificationthroughUserSharedImages”inACMTransactionsonMultimediaComputing,Communications,andApplications(TOMM).2017
M.Cheung;J.She.,"EvaluatingthePrivacyRiskofUserSharedImages”inACMTransactionsonMultimediaComputing,
Communications,andApplications(TOMM).2016
M.Cheung;J.She.;Z.Jie.,"ConnectionDiscoveryUsingBigDataofUser-SharedImagesinSocialMedia,"inIEEETransactionsonMultimedia,vol.17,no.9,pp.1417-1428,Sept.2015
X.Li,M.Cheungand,J.She,"ConnectionDiscoveryusingSharedImagesbyGaussianRelationalTopicModel”BigData(BigMM),2016IEEEInternationalConferenceon.IEEE,2016.
P.Ng,J.She,M.CheungandA.Cebulla,"AnImages-TextualHybridRecommenderSystemForVacationRental"TheSecondIEEEInternationalConferenceonMultimediaBigData,Apr.2016
M.Cheung,J.SheandX.Li,"Non-userGeneratedAnnotationonUserSharedImagesforConnectionDiscovery”,TheIEEECPSCom2015
Z.Jie,M.CheungandJ.She,“ACloud-assistedFrameworkforBag-of-FeaturesTagginginSocialNetworks”,IEEE4thSymposiumonNetworkCloudComputingandApplications(NCCA),Jun.2015.
M.CheungandJ.She,"Bag-of-FeaturesTaggingApproachforaBetterRecommendationwithSocialBigData,”IMMM2014(Bestpaperaward)
M.CheungandJ.She,“DiscoveringUserConnectionsusingTheirSharedImagesonSocialMedia”,the12thIEEEInternationalConferenceonUbiquitousIntelligenceandComputing(UIC2015),Aug.2015.
OurProduct&BusinessModel
Generateinsightsfromclients’visualdata
Understanduserinterests/markettrends
Locatelike-mindedusersandtheirinterests
Scalable,cloud-assistedanalyticsfromclients’visualdata
Freetrial:
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