Ferret provides automated services using artificial intelligence to help companies enter the next level of efficiency. This includes analyzing unstructured content like text to extract structured and actionable data. Ferret offers various solutions like comment moderation, chatbot configuration, and data extraction services. It works with clients to understand their needs and challenges, then develops proof of concept automations that can be further improved over time to provide ongoing value.

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