Knowledge Management is key to the business success of any enterprise. Especially for geographically dispersed enterprises, with offices locations all across the world supporting a multilingual workforce. This AI based knowledge management system enables its users to identify relevant SMEs on various topics of current interest by asking simple questions and getting a detailed response with ranked SMEs.
- This demo showcases the ease of querying an extensive database of pre-processed documents of all types by asking simple questions and getting a ranked response.
- This demo will then delve under the covers to explain the backend system that supports the querying functionality.
- The pre-processing engine would be covered in extensive details and its internal workings explained.
Handwritten Text Recognition for manuscripts and early printed texts
Artificial Intelligence based Knowledge Management System - IBM Watson
1. AI based Knowledge Management System
for Inter American Development Bank
Powered By IBM Watson
2. Dj Das
Dj is the Founder & CEO of ThirdEye Data, a Big Data & Data Sciences focused
consulting company, based in the Bay Area.
He also runs a meetup ground named “Big Data Cloud”.
Dj is a serial entrepreneur and an angel investor in tech startups.
Anjan Paul
Anjan is Senior Software Engineer from Big Data, Cloud, Analytics background.
His expertise is in IBM Bluemix. He worked for several fortune 500 companies
like Anthem, Capital One, John Hancock, Cognizant.
PRESENTERS
5. IDB is a geographically dispersed enterprise, with office
locations all across the world supporting a multilingual
workforce.
These officers work on various documents in many different
languages, mainly English, Spanish and Portuguese.
For business reasons, these officers need to efficiently identify
relevant SMEs located anywhere in the world on various topics
of current interest as per the current tasks at hand.
But it’s not easy to know whom to reach out to and where.
The goal of the BIDi project is to solve such knowledge
management problems in a simple and efficient manner using
AI based technologies.
ThirdEye Data
About ThirdEye Data
Architecture Overview
Project Goals
Demo: BIDi Application
A Look Under the Covers
BUSINESS GOALS
6. • Help company personnel search and find relevant SMEs for helping
them in their respective tasks.
• Identify Subject Matter Experts (SME) over various topics located at
various geographical office locations of the company.
• Create deep profiles of persons from entities extracted from
documents.
• Rank the retrieved persons as SMEs based on their authority,
experiences and contributions towards the relevant topics.
• Use a simple and easy architecture and user interface.
TECHNICAL GOALS
8. About ThirdEye Data
Project Goals
Demo: BIDi Chatbot
A Look Under the Covers
ThirdEye Data
To achieve the business & technical goals of the project,
ThirdEye fully leveraged the IBM Bluemix cloud & Watson suite
of services.
IBM BLUEMIX & WATSON
9. BLUEMIX & WATSON TECHNOLOGIES
IBM Bluemix
Watson Analytics
Alchemy
Language
Conversation Document
Conversion
Language
Translator
20. DATA ANSWERS
A Silicon Valley based one-stop-shop
for Data Engineering and Data
Science services & products.
ThirdEye answers your data
questions and offers actionable
insights, real-world experiences and
strategic recommendations.
About ThirdEye Data
Project Goals
Demo: BIDi Chatbot
A Look Under the Covers
ThirdEye Data