ferret go company presentation ferret go Unternehmenspräsentation

1. Automated Services
ThatHelp Companies
To Enter The Next Efficiency Level
A
i

2. =
INTELLIGENCE
AUTOMATION
ANALYTICS&
Wecombinecomputationallinguistics,machinelearningandsearchtechnologytoidentifythestructuresin
usergeneratedcontent.WedeliveroursoftwareproductsasAPIbasedback-end-servicesinexistingeco-systems.
Whatisourgeneral BACKGROUND?
A
i

3. A
i
wetranslateunstructuredContentintoactionableData
streamtheseDataintoanyApplication,ToolorProcess
andlet theMachinespermanentlylearntobecome better
naturallanguagebased,
usergenerated,lot of noise,even difficultto readsometimes
Unstructured Content
 semanticallyprocessed
 categorized/ clustered
 searchable
 structured
ActionableData
Top
News
Top
News
Application
Bes t Com m unities
Soccers how
Off Soccer – this guy has balls !
Tool
Process
Whatisthe MAGIC?

4. CustomerConversationCompany
Processes
OurfundamentalMotivationis tosupportyouwith moreEfficiencyforyour

5. Weare able toprovide yououtstandingAutomationServices!
Comment
Moderation
D AT A -A S - A -S E RV I C E
CLIENTIndividualSolutions FERRET ConversationSolutions
Top
News
Top
News
Application
Bes t Com m unities
Soccers how
Off Soccer – this guy has balls !
Tool Process
Chat BotConfigurator
C O N VE R S A R I O
How doesithelp measyourCLIENT?

6. SOLUTIONS
OVERVIEW
D A T A - A S - A - S E R V I C E
Top
News
Top
News
Application
Bes t Com m unities
Soccers how
Off Soccer – this guy has balls !
Tool Process

7. D AT A-A S- A- SE RV IC E
 Date & Entity Extraction
 Sentiment Analysis
 Keyword & TopicRecognition
 TopicClustering
 Extractive Text Condensation
 EasyLanguage Checker
 Monitoring &Alerting
 Pricing &Promotion Analysis
+more
SOLUTIONS(technically) CONTENTSOURCES
 EmailData
 Customer Reviews
 Messaging Data
 Social MediaData
 News & Blog Articles
 Meeting Minutes & Reports
 Customer Information Material
 Companyinternal Data
(accessgrantedof course)
Solutions & Content Sources tobe
combined
+more

8. CustomerReviews –SemanticAnalysison Topics
CHALLENGE SOLUTION ADDVALUE
D AT A-A S- A- SE RV IC E
Our CLIENT collects over 500K
text Customer Reviews/month.
CLIENTneeds to update a
StructuredScorecard with
semantic evaluation by single
Topics/Categories.
FERRET
 fetches the data via API
 detects topics &statements
 analyses thesentiment of
•the reviewitself
•the topics
 streams information back
into CLIENTsystem
 can review 100%of Input
 can give his clients a
structured real time overview
 can scale the collection part
over more conversation
channels(Messaging etc.)
 saves on processing budget
CLIENT

9. CustomerReviews –SemanticAnalysison Topics
D AT A-A S- A- SE RV IC E
Feedbackorinquiryacquisition:
bymail, CRMwebform,WhatsApp,…
Automaticallydetection:
topics,statementsand sentiment
Structureddata fordrill-downs,filtering,
searchandautomation
P R O C E S S C H A I N
Customer Reviews

10. EmailData-Date & EntityExtraction
D AT A-A S- A- SE RV IC E
OurCLIENT gets more than
1000Emails perday with
unstructuredinformation
of Events &Dates in between.
CLIENTneeds to update a
public event calendar real time.
FERRET
•fetches the EMAIL data via
API
 extracts Date &Entity
information about the Events
 streams information back
into CLIENTsystem
 CLIENTQA via assistive GUI
•can review 100%of Input
•extracts more Events
•has a more complete &
relevant Calendar
 saves numberson staff
 saves processing budget
CLIENT
CHALLENGE ADDVALUESOLUTION

11. News & BlogArticles – Monitoring &Topic Clustering – Example1
D AT A-A S- A- SE RV IC E
CHALLENGE
Our CLIENT operates a
multi languagenews App.
Heneeds on a daily base
a broad varietyof structured,
categorized and relevant
Top World Wide News Content.
FERRET
 fetches NewsContent from
up to 10.000Sources (daily)
 operates a scalable backend
to analyzethe insights and
process thepre structured
categorization + sentiment
etc. info via APIinto CLIENT
system
 has almost 100%News
monitoringcoverage
 can select top Newsby
countryand topic/keyword
 saves numberson staff
 saves processing budget
CLIENT
ADDVALUESOLUTION

12. News & BlogArticles – Monitoring &Topic Clustering – Example2
D AT A-A S- A- SE RV IC E
CHALLENGE
Our CLIENT operates business
inall major Europeancountries.
Heneeds to havea permanent
overview of thepolitical
landscape, relevant decision
makersand competitors.
FERRET
 fetches Content from official
sources – specified by CLIENT
 analyzes the Content for
relevant topics, entities and
dates
 feeds back thestructured
data into the highsecurity
internalCLIENTITsystem
 has 100%automated
monitoringcoverage
 can setup a structuredinternal
process with fast reaction
time
 is ahead protecting big
investments
CLIENT
ADDVALUESOLUTION

13. Meeting Minutes& Reports –Extractive Text Condensation
D AT A-A S- A- SE RV IC E
CHALLENGE
Our CLIENT gets up to to 1.000
articles per week with different
topics and content structures.
OurCLIENTwants to publish the
articles to relevant audience
inPrint, Online &Social Media.
FERRET
 fetches the articles via API
from theinternal CMS
 analyzes topic, region + other
main entities/tags
 extracts packedversions of
the original article customized
for output channels & streams
data back into CLIENTCMS
 wins a lot of preparation
processing time
 has more content options to
optimize publications
 staff can focus on quality
 saves processing budget
CLIENT
ADDVALUESOLUTION

14. Meeting Minutes& Reports –Extractive Text Condensation
D AT A-A S- A- SE RV IC E
INPUT RESULTS(excerpt)
Print Online
News
Desk
Twitter

15. CustomerInformationMaterial –EasyLanguageOnline Checker
D AT A-A S- A- SE RV IC E
CHALLENGE
OurCLIENT operates several
Public InformationWebsites.
Hemust take care of usingan
EASY LANGUAGE
so that people with dyslexia can
understand the content.
FERRET
 offers an APIService for
the editors of public websites
that helps inreal time to check
the simplicity (17+ Rules)
 comes along with a simple
feedback Tool that explains
basic keyfacts and checks
made + gives improvement
consultancy
 can easily integratethe
Service and Tool into
text content creation routine
 is able to fulfill legal
regulations
CLIENT
ADDVALUESOLUTION

16. CustomerInformationMaterial –EasyLanguageOnlineChecker
D AT A-A S- A- SE RV IC E
INPUT& CHECK RESULT

17. EmailNewsletter & Website – Pricing & Promotion Analysis
D AT A-A S- A- SE RV IC E
CHALLENGE
OurCLIENT is in E-Commerce.
Hewants to stay ahead
monitoring thecentral keypoints
of competitors newsletter and
social media promotions.
StructuredReport expected.
FERRET
 fetches social media and
newsletter contents of
CLIENTcompetitors
 analyzes trends, products,
prices, discounts etc. and
promotion duration
 provides a structured report
ina separate Reporting Tool
 reachesalmost 100%real
time monitoring coverage
 can evaluate quality and
promotion behavior of
competitors
 canreact faster ontrends,
discount and price changes
of competitor
CLIENT
ADDVALUESOLUTION

18. D AT A-A S- A- SE RV IC E
DEVELOPMENT& IMPLEMENTATIONAPPROACH
Step 1: Youcontact us with your Project Idea and UseCase
Step 2: Togetherwe gain consensus of theaspired Results
and Gradeof TechnicalIntegration.
Step 3: WecheckyourContent against Analysis Feasibility,
estimated a specific Feasibility Score andcalculate
the Pricingto createa working PoC (Proof of Concept)..
Step 4: Wedevelop the PoC. Thatmight fail and webreak up.
Step 5: IfPoC was successful wedevelop the Automated Service.
Step6: Weimmediately start the Continuous Improvementof
of data analysis quality (annotation, retraining, special rules etc.)

19. Comment
Moderation
Chat Bot
Configurator
C O N V E R S A R I O
SOLUTIONS
OVERVIEW

20. CO N VE RSARI O
MORETIMEFORGOODCUSTOMERCONVERSATION

21. SPAM– HATE–FAKE COMMENTSIN DIGITALMEDIAKILL COMMUNITYVALUE
C o m m e n t M o d e r a t i o n
CO N VE RSARI O
Ifyoudo nothing
1st - Brand Image
2nd - Loyal andengaged Users
3rd - Community Value
1st - TheOverview
2nd - ValuableTime and Nerves
3rd - The Community Grip
Ifyoufight manually
youdefinitely lose youoftenlose

22. User Groups
24/7Safety
Supervision
THE SOLUTION -AUTOMATEDCOMMENTMODERATION
SocialMedia
C o m m e n t M o d e r a t i o n
CO N VE RSARI O
User Groups
User Groups
Actions
General Development
Unique Commentators 16329 15198 + 7,44%
Objective Commentators 2842 (17,41%) 2559 (16,84%) + 11,06%
Emotional Commentators 9744 (59,67%) 9060 (59,61%) + 7,55%
Suspicious Commentators 3743 (22,92%) 3579 (23,55%) + 4,58%

23. C o m m e n t M o d e r a t i o n
+


Blocks
Hate & Spam
Comments
Automatically
24/7Safety Supervision
Monitoring
Community
Quality &
Development
Status& Success
 LIVE for Facebook andOnsite
 within 4 months from zeroto
 40+ productiveusers
 >3m comments per month
 acceptedbusiness model
 potential within 12 months period
 channel expansion to
 language expansion
 deepinsights analytics
C o m m e n t M o d e r a t i o n
COMMUNITYMANAGERSLOVIN IT
CO N VE RSARI O

24. C h a t B o t C o n f i g u r a t o r
Icanimaginealot of
CustomerConversation Events!
WishI couldruna
MultiTasking ChatBot.
But whereto start?
Toomanyobstacles!?
Promotions
Complaints
Product
Development
Contract
Updates
Retention
Management
General
Surveys
 Could I – as a non Techi –
configure a Bot?
 Is my Business Case big
enough? How much is the Fish?
 On what Channels can I reach
my Customers?
 How can I monitor the
Quality of such a Bot?
 … Questions over Questions
C h a t B o t C o n f i g u r a t o r
DEMANDFORCHATBOTSSEEMSOBVIOUSBUTSOMEOBSTACLESTO SOLVE
CO N VE RSARI O

25. C h a t B o t C o n f i g u r a t o r
IMPLEMENTINGCHATBOTSASPRODUCTIVESOLUTION?
Need
A
i
CO N VE RSARI O
UserAcceptanceincreases withPersonalTouch!

26. MainObstaclessolved!
 Anon Techi can configure Bots
& pre checkquality
 Goaloriented but still in
natural Language
 Afair Pricing per Bot
 To reach Customers on all main
Channels & conversational UI
 With assisting System to
Monitor Chat Progress and
Results
There should bea supporting Tool!
User Groups
C h a t B o t C o n f i g u r a t o r
E p i c s
B o t s
C h a n n e l s
C h a t s
C u s t o m e r s
WEAREWORKINGON IT–USECASESWELCOME
C h a t B o t C o n f i g u r a t o r
CO N VE RSARI O

27. WANT TO FINDOUT WHAT WE CAN AUTOMATE FORYOU?
CONTACT THE SPECIAL FORCE!
A
i
Brauerstraße 14
16321 Bernau bei Berlin
Daniel Köllner, Managing Director
koellner@ferret-go.com +49 (0) 177 411 2142

28. These CLIENTS are very satisfied withour Support!
+some more

29. www.ferret-go.com