Future of Infomation Technolgy

Future

Of

IT

IT= Information Technology

By,Zaid Ali, IM552

Introduction|Future of Information, ‘Technology’

Objective•To present technology available, in research and in development, associated with information availability.

•To constructively compose at least two utilities of each technology branch presented.

•History of Internet

•Data Manipulation

•Today's’ and Future Data

DV•Artificia

l intelligence

•Semantic Web

•Intelligent Agents

AI

•Google Wave

•Perhaps D2l and Moodle Wave

Real Time

Technology|Making Information Available

Data Visualization

Evolution of data manipulation in web applications.

“Humans are, by nature and history, are dwellers of low-dimensional worlds” compared to the available tens of thousands of dimensions, “as we see today in e-commerce, the web and scientific observations”. (Fayyad et al., 2002, Pg.3)

Exponential growth of Web.

Section 3:Real Time

Eutopian View

Section 2: AI

Const. Approach

Section 1:DV

Wide Area Information Servers (WAIS), invented by Brewster Kahle, released by Thinking Machines Corporation .

Gopher released by Paul Lindner and Mark P. McCahill from the University of Minnesota

World-Wide Web (WWW) released by CERN; Tim Berners-Lee developer . First Web server is nxoc01.cern.ch, launched in Nov 1990 and later renamed info.cern.ch.

1991 To 2006

Modern Day DV•Data Mining algorithms based on, “Mathematical techniques from probability theory, information theory, estimation uncertainty, graph theory and database techniques”. (Fayyad et al., 2002,Pg.3)

Static DV Dynamic DV

Advanced DV ResourcesLAST.FORWARD is a downloadable, open-source tool to visualize any Last.fm user’s social network, including relationships between other users.

Advanced DV ResourcesLAST.FORWARD is a downloadable, open-source tool to visualize any Last.fm user’s social network, including relationships between other users.

Advanced DV ResourcesVisualizing Information Flow in Science includes a set of four visualizations showing relationships between citations in scholarly journals that are used to evaluate the importance of each journal.

Future of DV look like...

Video

Artificial Intelligence

Section 3:Real Time

Google Wave

Section 1: DV

Const. Approach

Section 2: AI

Traditional Concept:As stated by McArthy,“The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it”(Halpin,2002).

Semantic Web:“The Semantic Web effort is in effect a revival of many of the claims that were given at the origins of artificial intelligence”(Halpin,2002)

Intelligent Agents“Capable of making autonomous decisions, “without the direct intervention of humans (or other agents), and should have control over its own actions and internal state.”(Jennings & Wooldridge,2002)

Artificial Intelligence

Weak AI Strong AI

Today’s AI

As mentioned by Khan, “One example is the ANN, Falcon. Designed by San Diego-based HNC Software, Falcon maintains a profile of how, when, and where customers use their credit cards and, fro m this, develops an ability to discern ‘deviant’ b e h a v i o u r. To date, this system is used by nine of the ten leading US credit card companies: they claim it has improved fraud detection rates from 30–70%” (Arnall,2003).

Future AI-Aspects

• Nano –Technology• Material science

• Semantic Web• Intelligent Agents• Algorithmic and

molecular Prog.

• Bio-Technology• Molecular biology

• Artificial Neural Network

• Pattern Recognition

Perception & Learning

Data Bases & Data Mining

PlatformCollaboration & Predictive Intelligence

s

Video

Real Time Systems

Section 2:AI

Google Wave

Section 1: DV

Const. Approach

Section 2: Real time

HARD SOFT

“Hard real-time systems have very strict timeconstraints,”(Kavi, et al.,2007)

•Car Navigation•Telecom Switching•Aircraft Control & Navigation•Robotics

“A soft real-time system is not equivalent to non-real-time system, because the goal of the system is still to meet as manydeadlines as possible.”(Kavi, et al., 2007)

•Internet protocol•Video Conferencing•General Multi-Media System

“Google Wave is an online tool for real-time communication and collaboration. A

wave can be both a conversationand a document where people can

discuss and work together using richly formatted text, photos, videos, maps,

and more.”(Google,2009)

Google Wave

ReferencesFayyad, U., Grinstein, G. G., & Weirse, A. (Eds.). (2002). Information Visualization in

Data Mining and Knowledge Discovery. 525 B street, Suite 1900, San Diego,CA 94104-3205: Academic Press.Hobbes' Internet Timeline. (2006). Retrieved December 01, 2009 from The definative

ARPAnet & Internet history: http://citationcenter.net/ ctool.php5?style=apa&ed=5&type=web_standard &online=0&odb=0&owww=0.Flowing Data. (2008). Retrieved November 30, 2009 from Data Visualization and

Statistics: http://flowingdata.com/.Change Player Size Watch this video in a new windowMicrosoft Office Labs 2019 Vision

Montage. (2009). [Digital Versatile Disc]. YouTube: YouTube.Application of Intelligent Agents. (1998). Retrieved September 29, 2009 from Queen

Mary & Westfield College: http://agents.umbc.edu/ introduction/ jennings98.pdf.Arnall, A. H. (2003). Future Technologies,Today's Choices-N a n o t e c h n o l o g y,

Artificial Intelligence and Robotics;A Technical,political,and institutional map of emerging technologies. In A report for the Greenpeace Environmental Trust (Vol. 1, pp. 1-72). Canonbury Villas: Greenpeace Environmental Tr u s t.

ReferencesREAL-TIME SYSTEMS: AN INTRODUCTION and State-Of-The-Art. (2008). Retrieved

February 14, 2009 from CSE: http://www.cse.unt.edu/ ~rakl/ kah08.pdf.

The Semantic Web. (2006). Retrieved December 06, 2009 from The Origins of Artificial Intelligence Redux: http://www.ibiblio.org/ hhalpin/ homepage/ publications/

airedux.pdf.