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
Data Ninja Services: empowering data science workflows with text analyticsData Ninja API
The slides describe Data Ninja services for text analytics and semantic interpretation. Services are hosted on AWS and provide accurate sentiment analysis, categorization, concept and entity extraction at scale. A unique Smart Data service provides access to knowledge graphs which are updated on a daily basis to yieldmost accurate and up-to-date information.
Data Ninja Services - Incite West talk 2015 Data Ninja API
We describe Text Analytics services by Data Ninja (dataninja.net) providing support for text understanding, data enrichment and semantic information management including category, concept and entity extraction, knowledge graph and intent classification. The services integrate Natural Language Processing, Machine Learning and Big Data approaches on top on AWS cloud at extremely attractive price.
Building Smart Natural Language Applications with Data Ninja Services Data Ninja API
Text Analysis-This presentation was given at New Frontiers in Computing (NFIC) in connection with IEEE. Our mission is to enable companies of all sizes to build smart services with content intelligence without having in-house advanced data science and machine learning teams.
Infopulse AI, Data Science & RPA Managed ServicesInfopulse
Infopulse applies methods and tools like artificial intelligence, machine learning & deep learning, computer vision, natural language processing, predictive analytics, data mining, and robotic process automation to help our clients create customized tools that automate their operations, innovate and drive business, and increase customer service. Learn more about our expertise.
Advanced Analytics and Data Science ExpertiseSoftServe
An overview of SoftServe's Data Science service line.
- Data Science Group
- Data Science Offerings for Business
- Machine Learning Overview
- AI & Deep Learning Case Studies
- Big Data & Analytics Case Studies
Visit our website to learn more: http://www.softserveinc.com/en-us/
Data Ninja Services: empowering data science workflows with text analyticsData Ninja API
The slides describe Data Ninja services for text analytics and semantic interpretation. Services are hosted on AWS and provide accurate sentiment analysis, categorization, concept and entity extraction at scale. A unique Smart Data service provides access to knowledge graphs which are updated on a daily basis to yieldmost accurate and up-to-date information.
Data Ninja Services - Incite West talk 2015 Data Ninja API
We describe Text Analytics services by Data Ninja (dataninja.net) providing support for text understanding, data enrichment and semantic information management including category, concept and entity extraction, knowledge graph and intent classification. The services integrate Natural Language Processing, Machine Learning and Big Data approaches on top on AWS cloud at extremely attractive price.
Building Smart Natural Language Applications with Data Ninja Services Data Ninja API
Text Analysis-This presentation was given at New Frontiers in Computing (NFIC) in connection with IEEE. Our mission is to enable companies of all sizes to build smart services with content intelligence without having in-house advanced data science and machine learning teams.
Infopulse AI, Data Science & RPA Managed ServicesInfopulse
Infopulse applies methods and tools like artificial intelligence, machine learning & deep learning, computer vision, natural language processing, predictive analytics, data mining, and robotic process automation to help our clients create customized tools that automate their operations, innovate and drive business, and increase customer service. Learn more about our expertise.
Advanced Analytics and Data Science ExpertiseSoftServe
An overview of SoftServe's Data Science service line.
- Data Science Group
- Data Science Offerings for Business
- Machine Learning Overview
- AI & Deep Learning Case Studies
- Big Data & Analytics Case Studies
Visit our website to learn more: http://www.softserveinc.com/en-us/
How to use Artificial Intelligence in Times of Crisis
How to use Artificial Intelligence in Times of Crisis
In this session we will discuss three real, tangible use cases for leveraging artificial intelligence and applied machine learning models to solve problems in times of crisis. We will walk through problem discovery, design, development and deployment of solutions that can change the world.
In this talk,we will cover 3 specific use cases:
Use of open datasets to solve the world's problems – a list of open datasets will be provided that the attendees can take away
Helping Educators deliver value and engage with students (building bots for classrooms) – a free tutorial that the attendees can take after the session to get hands on experience building a classroom bot
The Power of Voice to create a simpler and hands-free interface to even the most complicated applications – a list of voice-dev resources will be provided for those who want to dive into the world of Amazon Alexa
Презентация Виталия Никитина о возомжностях платформы HPE Idol для работы с BigData в современном кол-центре. Аналитика аудио и текстовой информации на базе платформы HPE IDOL
An overview about ZIGRAM, our focus areas, work, use-cases and team. ZIGRAM is a high impact organization which operates in the Data Asset space. Our team is made up of professionals from varied domains like data science, technology, sales, financial services, research and business consulting. Our aim is to deliver value to clients by Building and Managing Data Assets across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Our Vision is to integrate our products, data, and services in DIKW organizations globally, to help solve real-world problems by leveraging Data Assets
[DSC Europe 22] On the Aspects of Artificial Intelligence and Robotic Autonom...DataScienceConferenc1
Autonomy in targeting is a function that could be applied to any intelligent system, in particular the rapidly expanding array of robotic systems, in the air, on land and at sea – including swarms of small robots. This is an area of significant investment and emphasis for many armed forces, and the question is not so much whether we will see more intelligent robots, but whether and by what means they will remain under human control. Today’s remote-controlled weapons could become tomorrow’s autonomous weapons with just a software upgrade. The central element of any future autonomous weapon system will be the software. Military powers are investing in AI for a wide range of applications10 and significant efforts are already underway to harness developments in image, facial and behavior recognition using AI and machine learning techniques for intelligence gathering and “automatic target recognition” to identify people, objects or patterns. Although not all autonomous weapon systems incorporate AI and machine learning, this software could form the basis of future autonomous weapon systems.
Gianluigi Viganò - How to use HP HEAVEN-on-demand functions for Big Data appsCodemotion
HP Haven, the industry’s first comprehensive, scalable, open, and secure platform for Big Data analytics enables you to deliver actionable insight where and when it is needed to drive superior business outcomes and gain competitive advantage. It includes HP Haven OnHadoop the most comprehensive array of SQL functions with any Hadoop distribution.
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWSAmazon Web Services
In this session, you will learn about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Natural Language Processing (NLP) is a branch of Artificial Intelligence that deals with making computers understand human languages. NLP is a complex task, as human languages are very different from each other and are constantly evolving. However, advances in machine learning and artificial intelligence have made great progress in NLP in recent years. NLP can be used for a variety of tasks, such as text recognition, sentiment analysis, topic classification, and machine translation.
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017StampedeCon
Artificial Intelligence has entered a renaissance thanks to rapid progress in domains as diverse as self-driving cars, intelligent assistants, and game play. Underlying this progress is Deep Learning – driven by significant improvements in Graphic Processing Units and computational models inspired by the human brain that excel at capturing structures hidden in massive complex datasets. These techniques have been pioneered at research universities and digital giants but mainstream enterprises are starting to apply them as open source tools and improved hardware become available. Learn how AI is impacting analytics today and in the future.
Learn how AI is affecting the enterprise including applications like fraud detection, mobile personalization, predicting failures for IoT and text analysis to improve call center interactions. We look at how practical examples of assessing the opportunity for AI, phased adoption, and lessons going from research, to prototype, to scaled production deployment.
Once you’ve made the decision to leverage AI and/or machine learning, now you need to figure out how you will source the training data that is necessary for a fully functioning algorithm. Depending on your use case, you might need a significant amount of training data, and you’ll want to consider how that is labeled and annotated too.
View Applause's webinar with Cognilytica principal analysts Ronald Schmelzer and Kathleen Walch, alongside Kristin Simonini, Applause’s Vice President of Product, as they tackle the modern challenges that today’s companies face with sourcing training data.
II-SDV 2017: How Visualisation of Open Patent Data can help with Strategic De...Dr. Haxel Consult
Market overview of patent information analytics, my take on strategic decsions, which data sources, and a live demo of, how to visualize open patent information with Tableau 10.
HPE IDOL 10 (Intelligent Data Operating Layer)Andrey Karpov
Understand virtually all of your information with high-performance analytics: Over 500 analytical functions available for text, audio, video, and image
• Derive actionable insights: Process data in near real time to gain a competitive edge
• Maximize your information reach: Connect to over 400 systems with support for over 1000 file formats, so you can find all relevant information
• Let social media work for you: Detect emerging trends and influencers in this powerful media with sophisticated sentiment analysis and clustering technology
Accenture's report explains how natural language processing and machine learning makes extracting valuable insights from unstructured data fast. Read more. https://www.accenture.com/us-en/insights/digital/unlocking-value-unstructured-data
How to use Artificial Intelligence in Times of Crisis
How to use Artificial Intelligence in Times of Crisis
In this session we will discuss three real, tangible use cases for leveraging artificial intelligence and applied machine learning models to solve problems in times of crisis. We will walk through problem discovery, design, development and deployment of solutions that can change the world.
In this talk,we will cover 3 specific use cases:
Use of open datasets to solve the world's problems – a list of open datasets will be provided that the attendees can take away
Helping Educators deliver value and engage with students (building bots for classrooms) – a free tutorial that the attendees can take after the session to get hands on experience building a classroom bot
The Power of Voice to create a simpler and hands-free interface to even the most complicated applications – a list of voice-dev resources will be provided for those who want to dive into the world of Amazon Alexa
Презентация Виталия Никитина о возомжностях платформы HPE Idol для работы с BigData в современном кол-центре. Аналитика аудио и текстовой информации на базе платформы HPE IDOL
An overview about ZIGRAM, our focus areas, work, use-cases and team. ZIGRAM is a high impact organization which operates in the Data Asset space. Our team is made up of professionals from varied domains like data science, technology, sales, financial services, research and business consulting. Our aim is to deliver value to clients by Building and Managing Data Assets across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Our Vision is to integrate our products, data, and services in DIKW organizations globally, to help solve real-world problems by leveraging Data Assets
[DSC Europe 22] On the Aspects of Artificial Intelligence and Robotic Autonom...DataScienceConferenc1
Autonomy in targeting is a function that could be applied to any intelligent system, in particular the rapidly expanding array of robotic systems, in the air, on land and at sea – including swarms of small robots. This is an area of significant investment and emphasis for many armed forces, and the question is not so much whether we will see more intelligent robots, but whether and by what means they will remain under human control. Today’s remote-controlled weapons could become tomorrow’s autonomous weapons with just a software upgrade. The central element of any future autonomous weapon system will be the software. Military powers are investing in AI for a wide range of applications10 and significant efforts are already underway to harness developments in image, facial and behavior recognition using AI and machine learning techniques for intelligence gathering and “automatic target recognition” to identify people, objects or patterns. Although not all autonomous weapon systems incorporate AI and machine learning, this software could form the basis of future autonomous weapon systems.
Gianluigi Viganò - How to use HP HEAVEN-on-demand functions for Big Data appsCodemotion
HP Haven, the industry’s first comprehensive, scalable, open, and secure platform for Big Data analytics enables you to deliver actionable insight where and when it is needed to drive superior business outcomes and gain competitive advantage. It includes HP Haven OnHadoop the most comprehensive array of SQL functions with any Hadoop distribution.
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWSAmazon Web Services
In this session, you will learn about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Natural Language Processing (NLP) is a branch of Artificial Intelligence that deals with making computers understand human languages. NLP is a complex task, as human languages are very different from each other and are constantly evolving. However, advances in machine learning and artificial intelligence have made great progress in NLP in recent years. NLP can be used for a variety of tasks, such as text recognition, sentiment analysis, topic classification, and machine translation.
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017StampedeCon
Artificial Intelligence has entered a renaissance thanks to rapid progress in domains as diverse as self-driving cars, intelligent assistants, and game play. Underlying this progress is Deep Learning – driven by significant improvements in Graphic Processing Units and computational models inspired by the human brain that excel at capturing structures hidden in massive complex datasets. These techniques have been pioneered at research universities and digital giants but mainstream enterprises are starting to apply them as open source tools and improved hardware become available. Learn how AI is impacting analytics today and in the future.
Learn how AI is affecting the enterprise including applications like fraud detection, mobile personalization, predicting failures for IoT and text analysis to improve call center interactions. We look at how practical examples of assessing the opportunity for AI, phased adoption, and lessons going from research, to prototype, to scaled production deployment.
Once you’ve made the decision to leverage AI and/or machine learning, now you need to figure out how you will source the training data that is necessary for a fully functioning algorithm. Depending on your use case, you might need a significant amount of training data, and you’ll want to consider how that is labeled and annotated too.
View Applause's webinar with Cognilytica principal analysts Ronald Schmelzer and Kathleen Walch, alongside Kristin Simonini, Applause’s Vice President of Product, as they tackle the modern challenges that today’s companies face with sourcing training data.
II-SDV 2017: How Visualisation of Open Patent Data can help with Strategic De...Dr. Haxel Consult
Market overview of patent information analytics, my take on strategic decsions, which data sources, and a live demo of, how to visualize open patent information with Tableau 10.
HPE IDOL 10 (Intelligent Data Operating Layer)Andrey Karpov
Understand virtually all of your information with high-performance analytics: Over 500 analytical functions available for text, audio, video, and image
• Derive actionable insights: Process data in near real time to gain a competitive edge
• Maximize your information reach: Connect to over 400 systems with support for over 1000 file formats, so you can find all relevant information
• Let social media work for you: Detect emerging trends and influencers in this powerful media with sophisticated sentiment analysis and clustering technology
Accenture's report explains how natural language processing and machine learning makes extracting valuable insights from unstructured data fast. Read more. https://www.accenture.com/us-en/insights/digital/unlocking-value-unstructured-data
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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”
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
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
17
• 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
18
• 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.
20
• 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
21
• 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.