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How can AI and semantic intelligence deliver new levels of operational efficiency?

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Discover how legal departments and other organizations that are heavily dependent on paper can reach new levels of operational efficiency through the combination of AI and semantic analysis. Based on real customer examples, this session will reveal the secrets behind the data – and how to transform data into insights and value.

Speaker:
Albert Mercadal
Carlos Alberto Castano Moraga

Published in: Technology
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How can AI and semantic intelligence deliver new levels of operational efficiency?

  1. 1. Human Centric Innovation Co-creation for Success © 2018 FUJITSU Fujitsu Forum 2018 #FujitsuForum
  2. 2. © 2018 FUJITSU How can AI and semantic intelligence deliver new levels of operational efficiency? Carlos Alberto Castaño Team Lead & Senior Data Scientist - Fujitsu Albert Mercadal Head of Advanced Analytics CoE (EMEIA) - Fujitsu
  3. 3. 2 © 2018 FUJITSU Agenda Achieving new levels of operational efficiency - the challenges Bringing semantic intelligence to end users Sholark Framework End to end analytical processes automation and discovery 2 1 4 3 Use Cases: 1. Legal & Compliance: Automatic classification and discovery of judicial court sentences 2. Defense: Improving investigations around national security threats 3. Health: Assessing and predicting mental health risks
  4. 4. 3 © 2018 FUJITSU Achieving new levels of operational efficiency Challenges  Decision making processes are based on complex information that usually is in text- format and is spread across different sources.  Some of the end-users tasks are repetitive, low- added value and time consuming.  Knowledge is based on experience and has not been digitalized.  End users are not technical experts on how to manage and analyze data.  The accuracy of some critic processes can be improved with the use of ML/DL techniques. Different business scenarios but common operational challenges Healthcare Systems Legal & Compliance Areas National Security Services
  5. 5. 4 © 2018 FUJITSU Achieving new levels of operational efficiency Reaching End Users Legal & Compliance Areas National Security Services New advanced services accessible from a single user interface Intelligence provided by the use of Natural Language Processing & Machine Learning Non-relational DB (i.e. graphs DB) for allowing self service and behavioral analytics Increase in process performance thanks to intelligent automation Healthcare Systems End Users Powered by … Fujitsu SHOLARK AI & Data Analytics industrialization framework Improved DECISION MAKING processes
  6. 6. 5 © 2018 FUJITSU Sholark Framework AI & Data Analytics Industrialization Text Analytics - Concepts Management Topic Modelling, Summarization, Document Classification, Keyword Identification, Document distance computation, Sentiment analysis Text Mining and NLP Techniques Language Identification, POS Tagger, Entity & Relationships Recognition and Validation, Semantic Normalization, Quality Check Manage document format variability Transform to plain text, OCR, document structure analysis, etc. Knowledge Base Enrichment Implicit knowledge generation, entity enrichment, enhanced searching functionalities, knowledge management and persistence, advanced analytics Knowledge .PSD .AI .GIF .JPG .PNG .PPT .DOC .XLS Topic Word Document Normalization ReduceVariabilitytowardsknowledgebase
  7. 7. 6 © 2018 FUJITSU Sholark Framework Functionalities Overview Massive Scale Ability to scale to support additional data and features over time Usability Thanks to the GUI the solution can be used for non-advanced users which shortens the learning curve Modularity The architecture of the solution allows to increase or decrease the functionalities included in order to be easy adaptable to customer's’ needs Insightful Ability to generate a homogeneous POLE semantic model by the automatic recognition of entities and relations, in which advanced analytical techniques can be applied In Real Time Ability to store and/or process large volumes of structured, semi-structured and unstructured data in real time Flexible Ability to collect data regardless of its origin (social networks, database, web services, files, logs, voice, image, video, etc.)
  8. 8. 7 © 2018 FUJITSU Sholark Framework End to end analytical processes automation and discovery User Applications Data Repositories Real Time Data Distributed File System Graph Database NoSQL Database Indexed Data Semantic Services NLP Engine Classification Translation Summarization Real Time Ingestion Real-Time Ingestion Data Cleaning and Normalization Analytics Engine ML & DL Engine Batch Analytics Sholark Core Business Rules Security Layer Access Management Authorization API Rest Application Data Data Orchestration Advanced Search Advanced Visualization Self-service Analytics Doc. Management & Editing Ad-hoc Modules Intelligentprocessautomation Legal & Compliance Areas National Security Services Healthcare Systems
  9. 9. 8 © 2018 FUJITSU Sholark Legal & Compliance - Use Case #1 Automatic classification and discovery of judicial sentences Improving the efficiency of the Cataloging Process & Elaboration of Summaries of Judicial Court Sentences using cognitive computing techniques to automate the tasks currently performed by lawyers.  Enriched search experience  Eliminating the bottleneck generated by manual classification process  Automatic summarization of documents  Performance management control. Decrease in the time being dedicated by end users to classification and search tasks.60%
  10. 10. 9 © 2018 FUJITSU Sholark legal & compliance - Use Case #1 Automatic classification and discovery of judicial sentences Allowing end users to keep doing their tasks more efficiently (with a short learning curve)… Automatic Classification and Summarization Performance Management and Control Advanced Semantic Search Capabilities
  11. 11. 10 © 2018 FUJITSU Sholark Defense - Use Case #2 Improving investigation performance around security threats Speeding up crime and threat investigation through automatic collection of unstructured information, such us Flights, Blogs or Police Records, allowing the end-user to perform end-to-end investigation much faster and more precisely  Automatic data collection and real time alerts generation  Finding non obvious relationships among different events thanks to the use of NLP techniques and a Graph Data Base  End to end threat analysis process digitalized  Self-service data discovery. Increase of concurrent investigations running with same resources41%
  12. 12. 11 © 2018 FUJITSU Sholark Defense - Use Case #2 Improving investigation performance around security threats Self-service data discovery* Visual interface for non obvious relationships discovery* Real time events tracking and alerts* Improving end users performance and capabilities around threat and crime investigation… *Data being represented is figurative. It does not show real customer information.
  13. 13. 12 © 2018 FUJITSU Sholark Health - Use Case #3 Assessing and predicting mental health risks Improving decision making of doctors and hospital managers using NLP techniques for automatic information retrieval from Electronic Health Records as well as academic papers and ML algorithms to assess risks around mental health problems.  Probabilistic knowledge graph. Built on top of thousands of anonymized patient records  Medical oriented text-mining algorithms that extracts relevant annotations from clinical texts  ML & DL predictive algorithms that assist doctors and managers to perform their tasks. Model accuracy Model based on a knowledge graph constructed with empirical data and clinical knowledge. +80% 75% 80% 85% 90% 95% 100% Suicide risk Alcohol abuse risk Cannabis abuse risk Cocaine abuse risk
  14. 14. 13 © 2018 FUJITSU Sholark Health - Use Case #3 Assessing and predicting mental health risks Automatic codification of medical texts Patient behavior analytics Health risk assessment support system Improving the efficiency of the healthcare system by the automation of routine processes… https://www.youtube.com/watch?v=NIDNmwYMjAE HIKARI has been developed by Fujitsu Laboratories of Europe.
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