Infrastructure

PRESENTATIONS
 
 
Home > IT Seminar
IT Seminar, held on 16th & 17th April, 2008


The Seminar on “Application of IT in Insurance Industry” was our first initiative to bring the two disciplines together. We received a massive response to our efforts. 15 insurance companies and 21 IT companies participated in the event besides Lingya Institute of Management & Technology. The quality of presentations was a delightful experience. Many of the participants from the insurance industry expressed the thrill of being exposed to innovations in insurance engineered by the IT industry as was evident from some of the presentations. It is heartening to add that in all 27 research papers / presentations on diverse topics related to the theme were presented over two days. Infact to accommodate all the papers, we had to resort to a few concurrent sessions. A list of topics of presentation is listed below:
 

S. No.

Name of the topic

1

Business Intelligence in Insurance

2

Intellectual Resource Sharing Practice

3

Wi-Fi and its management strategies

4

Security on mobile agent based crawlers

5

RFID is just one component in a complete solution

6

Information Security (Threats of Pin cracking)

7

Network Simulation on QoS of mobile IP in wireless network

8

Challenges of building green IT in organizations

9

Straight Through Processing (STP) in Insurance

10

Maintenance in Re-engineering using sub-systems structures

11

Software Documentation

12

Implementation of Integrated Non-life Insurance System

13

Software Maintenance insuring quality of object oriented system using software metrics

14

Polygon approximation based on vertices velocity and acceleration

15

Life Insurance Underwriting Framework Using Service Oriented Architecture

16

Win in the flat world - Overcoming Scale Disadvantages in Life Insurance Operations

17

CRM in Insurance

18

Technology Driven Insurance Solution

19

Branding in Digital World

20

Using Protégé - 2000 for building ontologies

21

Document management of imaging

22

Business Intelligence to Increase Revenue or cut down cost