The document provides an overview of IDOL, a cognitive search and analytics platform from IMExperts. Some key points: - IDOL uses machine learning, natural language processing, and deep learning to ingest, understand, and query digital content from multiple sources and return more relevant results to users. - It has over 500 functions including enterprise search, analytics, language processing and machine learning capabilities like document classification and clustering. - IDOL can analyze a wide range of content formats and integrate with various applications and databases. - IMExperts provides consulting and support services using IDOL for applications like enterprise search, big data analytics, and media monitoring for customers across various industries. - Examples of ID

1. Implementing
Machine Learning
and Big Data
Enterprise Solutions
using IDOL

2. Agenda
• IMExperts: Company presentation
• IDOL as a Cognitive Search platform: Machine Learning,
Natural Language Processing and Deep Learning
• IDOL as a Rich Media Analytics platform
• Business Cases at IMExperts
2

3. About Us
3
Our Capabilities
We are experts in IT Solutions for Information Management and
Big Data. This includes the most qualified and experienced team
for the HPE IDOL platform in Latin America. We provide
consulting and support services based on standard
methodologies and world-class technologies to meet any
Information Management and Big Data needs in businesses.
Our Experience
10 Years experience implementing Information Management
and BigData Solutions in the Latin American Market,
providing services to some of the largest organizations from
International Banks, Government, TV Companies, law firms,
educational institutions and aerospace.
Where We are
• Brazil
• São Paulo
• Brasilia
• Rio de Janeiro
• Mexico
• Mexico City
• Customers in other Countries
• Colombia
• Uruguay
Why Choose Us?
Specialized company
Experience
Certified consultancy
In your local language
Local Support

4. Portfolio Solutions
Enterprise Content Management
Capture
Document & Email
Management
Knowledge
Management Enterprise Search
PRODUCTS
IDOLTELEFORM
SOLUTIONS
WORKS | INSIGHT | SHARE
Big Data Analytics
Social Media &
Multimedia Analytics
SQL Analytics
Distributed processing &
Analytics
IDOL HADOOP SPARKPRODUCTSSOLUTIONS VERTICA

5. Customer & Sectors
Banking
Banks and financial institutions harness the power of
digital information in the media and internal big data
repositories through solutions to search, classify, create
data intelligence and mitigate risks identity frauds as
well as improve the quality of systems customer
service.
Government
Advanced solutions enable government institutions
analyze billions of data of any kind of digital content in
real time to discover and classify sensitive information,
save time, reduce costs by improve the processes of
intelligence, criminal investigation and citizenship
interactions.
Media
The most advanced solution in the world to analyze
multimedia content. Media companies can apply
intelligence in the use of rich media content to solve
amazing business challenges such as automatic video
classification, intelligent video search, news detection
and much more.
Legal
The most accepted solution in the world for the legal
market, allows lawyers and legal professionals to
increase their productivity through instant recovery of
critical information for the resolution of cases and
processes and harness the knowledge.
Aerospace
Aerospace companies harness the power of digital
information in the media and internal big data
repositories through solutions to search, classify, create
data intelligence and mitigate risks through
precautionary measures.
Education
Education Institutions increase their productivity and
save time and money through solutions that automate
administrative massive capture and workflow processes
evaluations or enrollments, and get classified results on
thousands of documents scanned per minute.

6. Agenda
• IMExperts: Company presentation
• IDOL as a Cognitive Search platform: Machine Learning,
Natural Language Processing and Deep Learning
• IDOL as a Rich Media Analytics platform
• Business Cases at IMExperts
6

7. IDOL as a Cognitive Search & Knowledge Discovery leader Q217
7
“New generation of Enterprise Search
solutions that use AI technologies such
as ML and NLP to ingest, understand,
organize, query digital content from
multiple data sources and to return
results that are more relevant to the
users or applications”

8. Keyword Search of the past has evolved into Cognitive Search
8
IDOL

9. IDOL Platform
9
+ 500 Functions
Enterprise Search
Retrieval Lite & Concept
Retrieval Advanced & Parametric
Hyperlinking
Summarization
Dynamic Thesaurus
Spelling Correction
Preview & Visualization
Highlighting
Auto Query Guidance (AQG)
Collaboration (Expertise Profiling)
Personalization (Agents, Alerting)
Taxonomy Generation
Categorization & Channels
Analytics
Language Detection (150 languages)
ER (Entities Recognition)
Sentiment Analysis
Clustering
Knowledge Graph
Geospatial
OCR
Image Detection
Face Detection & Analysis
Speech to Text
Speaker Identification
Color Analysis
...
Natural Language Processing (NLP): Contextual and Conceptual
Understanding, Stemming, Stop Words, Synonyms, ER, Sentiment Analysis
Machine Learning (ML): Doc Classification, Clustering, Categorization
Deep Learning (DL): Image and Audio Pattern Recognition
Thomas Bayes Claude Shannon
Integration with Applications (API)
+ 1,000 Formats, + 150
Conectors
Formats
Text (TXT, RTF, Log, rtc..)
PDF
Microsoft Office
Open Office
XML
HTML
JSON
MSG
Container (zip, rar, 7zip, tar ...)
Image (TIFF, JPG, PNG, GIF, BMP ..)
Audio (wav, wma, mp2, mp3, acc .. )
Video (avi, wmv, mpeg2, mp4, H264, ..)
Streaming (UDP, MMS, HLS, RTPM .. )
...
Connectors
File System
Web (HTTP & RSS)
DB (RDBMS), Oracle
Social Media (Twitter, Facebook ,
LinkedIn, Youtube, Atom ..)
Advanced (Documentum, Exchange,
Sharepoint, Lotus Notes, Salesforce,
SAP Nateware, Skype, Lync ... )
Plus (Alfesco, Drupal, Hadoop ..)
.....
Framework Connector

10. IDOL as a Cognitive Search & Knowledge Discovery
10
Machine Learning
Adaptive Learning Model
Language Independent
Thomas Bayes
Inference Theory
Claude Shannon
Information Theory
Deep Learning through Artificial Neural Networks
Audio Pattern Recognition Image Pattern Recognition
IDOL
Concepts Extraction Entity recognition & extraction
Stemming Autocomplete
Spelling Check Language Detection
Synonyms Sentiment Analysis
Stop Words Promotions
Question & Answering Search statistics
Face Training Model Language Customization
Object Training Model Acoustic Adaptation
Speaker Training Speech-to-Text Training
Number Plates Training Vehicle Make Model Training
Scene Training
Machine
Learning
NLP
Conceptual Search Profiling
Predictive Search Classification ¨Taxonomy
Ranking Promotions
Natural Language Search Question Answering Server
Text Pattern Matching
Speech to Text OCR
Speaker Identification Face Detection & Analysis
Audio Segmentation Object Recognition
Audio Finger Print Color Analysis
Number Plates Recognition Vehicle Make Model recognition
Scene Analysis
Functions

11. Artificial Intelligence (AI) + Machine Learning (ML) + Deep Learning (DL)
11

12. Machine Learning (ML)
12
Supervised Learning
– Classification: Naïve Bayes,
Logistic regression, Decision
trees, SVM, KNN, Random
Forest, Neural networks
– Regression: Linear regression,
No linear regression
Unsupervised Learning
– Clustering: K-means
– Dimensionality Reduction:
PCA, FFC, BFE

13. Agenda
• IMExperts: Company presentation
• IDOL as a Cognitive Search platform: Machine Learning,
Natural Language Processing and Deep Learning
• IDOL as a Rich Media Analytics platform
• Business Cases at IMExperts
13

14. IDOL as a Rich Media Analytics platform
14
Audio Analytics
Automatic voice transcription (in 40 languages)
Audio and text synchronization
Spoken Language Detection
Speaker identification
Audio segmentation (voice, music or noise)
Music tracks and jingles detection
Audio Finger Print

15. 15
IDOL as a Rich Media Analytics platform
Visual Analytics
Face Detection
Face demographics analysis
Face expression analysis
Clothes detection and color analysis
Image and Image Class detection
OCR
Barcode & Signatures
Plate Recognition
Scene Analysis

16. Agenda
• IMExperts: Company presentation
• IDOL as a Cognitive Search platform: Machine Learning,
Natural Language Processing and Deep Learning
• IDOL as a Rich Media Analytics platform
• Business Cases at IMExperts
16

17. Media Monitoring for Open source Intelligence
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• Business requirements
• Difficulty to process and manage huge amounts of data (web, audio, video).
• Inability to address time-critical issues.
• Allow to search for and alert something which has been spoken in TV and Radio
content: who has spoken, how and when it has been spoken
• Allow to find all breaking news and identify trends.
• Solution
• Implement a Broadcast Media Monitoring solution
• Ingests all types of streams and video files, performing Rich Media analytics to
enrich the content with Speech-to-text, Audio classification, Face recognition,
Object recognition, OCR
• Metadata is time synchronized, allowing search and retrieval.
• Benefits
• Use Open Source Intelligence, monitoring political and military trends in the
fight against terrorism and national defense.
• Increase of information processed automatically, freeing resources for more
critical tasks.
• +40 automatic live monitoring of TV and radio channels in different languages
• Real time alerting

18. Rich Media analytics for a large multimedia database
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• Business requirements
• Ingest and process a large multimedia database for Rede
Globo TV affiliate television stations
• Automate Rich media content classification (audio, video,
images).
• Allow the TV content production with enriched historical
content (News, Sports, Soup operas & Entertainment)
• Monetize the multimedia content.
• Solution
• Implement a Real Time Rich Media Analytics solution
• Contextual searching & automatic content enrichment.
• Multimedia Portal searched by more than 1000 users daily.
• Benefits
• Multimedia content classified and searchable.
• Time reduction of the content classification process.
• Time reduction on searching and retrieval Rich Media
content.
Language identification
Audio fingerprinting
Audio classification
Speaker identification
Speech to Text
Audio Video
Logo detection
OCR
Demographics
Face recognition
Face detection

19. Cognitive Search for Banking
19
• Business requirements
• Allow access to a large repository of regulatory information for thousands of bank
users. BB has more than 100k users, 5 languages and 5k agencies around the world.
• Provide an efficient normative portal to reduce the time of searching and improve
the customer attention.
• Provide an intelligent virtual assistance (Chatbot)
• Solution
• Implement a Cognitive Search solution & Intelligent virtual assistance
• Index all regulatory information databases to provide an Enterprise Cognitive
Search solution through the Intranet Portal and available to all agencies in the
country.
• Benefits
• Improve QoS by allowing users search for online normative documents and reduce
the time of service.
• Advanced Searching include NLP techniques which reduces the cost of training new
staff: Contextual Search, Spellcheck, summarization and so on.
• Improve Quality of search results through advanced searching features which
reduce the amount of zero hits and promote relevant content.

20. Knowledge discovery & Link analysis for Investigative Case Mgmt.
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• Business requirements
• Analyze more than 10TB of information coming from internal databases and
external HDs captured from people target of investigation with diverse content such
as: audio from phone calls, text and video from whatsapp & skype messages, social
media profiles, financial transactions and private documents, e-mails, audio, video
and images files.
• Collect, index, process and correlate all information from all repositories.
• Link analysis including structured and non structured content to evaluate
relationships (connections) between entities (people & companies)
• Solution
• Knowledge Discovery & Link analysis solution.
• Import, index, categorize, enrich and link highly sensitive content across internal
databases and external HDs captured from people target of investigation
• Import an existing taxonomy to classify content.
• Benefits
• Unified access to all information scattered from internal and external repositories
• Research users can access and discover knowledge seamlessly from private and
highly sensitive documents from people target of investigation
• Known the unknow and hidden information through a Link analysis solution
(structured & non-structured content)
• Pattern recognition and analysis.

21. Video Analytics for CCTV & Video Surveillance
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• Business requirements
• Video Analytics solution to integrate into any infrastructure of enterprise
surveillance systems to detect and react to suspicious activity, minimizing the risk of
false alarms and reducing the time to investigate events of interest
• Scene analysis to detect important events occurring in the video during a traffic
flow and monitors video transmitted from CCTV cameras to assist in detecting
potential threats, illegal actions and detect suspicious and criminal activities
• Solution
• Implement a Video analytics solution for CCTV cameras to collect, detect and
generate alarms for events of interest
• Detect vehicles stopped on the road identifying their color, size and length of stay
on the road.
• Detect pedestrians crossing the street or in restricted areas.
• Identification of people in areas of interest, for example: the gas station box.
• Detect license number plates identifying the model and brand of vehicles
• Benefits
• Real-time alerting because direct the attention of monitoring personnel to relevant
activities in real-time providing significantly improved safety and security.
• Video analytics enable users to pinpoint specific events in seconds and allow users
to select specific search parameters, such as activity, number of camera, and search
only the video that meets the particular requirements
• Optimized Operations because organizations are able to use video to better plan
staffing requirements, increase revenues, or improve customer satisfaction.

22. Questions?
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