A Picture of Enterprise Architecture

Post on 12-Jan-2015

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Setting a technology direction is not about engineering a solution. It is about looking for trends (colors) to use in a painting.

Transcript

“A Picture” of

Enterprise Architecture

My Assertion

Areas IT can help in 2020:– Knowledge– Operational Efficiency– Staff– Efficient Process

IT can/should be the differentiator

Color 1

Digital Immigrant to Digital Native

Color 2

Defensive Information Sharingto

Offensive Information Sharing

Color 3

On Premise to Cloud

Color 4

Paper to e-BPML

Color 5

Enterprise to Consumer

Color 6

Search to Latent Semantic Analysis

Math is getting better at machine learning (extract knowledge from data)

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bnan

ba

ba

ba

inDocWordCountinDocwordCount

inDocWordCountinDocwordCount

inDocwordCountinDocwordCount

DocDocsim

1980s: Pair wise document similarity (document clustering)

1990s: Latent Semantic Analysis (what does the word mean?)

documents1 2 3 4 5 6 7

1 2 3 4 5 6 7 8 9terms

really just matrix multiplication:term vector (query) x strength matrix = doc vector

Corporate email communicationsGreen = InternalYellow = External

Meanwhile we communicate electronically ...

to networks of people...

… not the objects

What if we,curate the

conversation...

Is the openness of the next generation going to change the scientific process by allowing computers to mine the “human

conversation”?

Scientific Method

Proving a hypothesis.

Knowledge Discovery

Finding the unknown correlations.

Sentiment Analysis for stock market prediction

Brokerage houses are using computers to “micro-trade” stocks based on sentiment analysis of blog sphere.

Figure from Glance, Hurst, Nigam, Siegler, Stockton, & Tomokiyo, KDD’05

My talk from 2 years ago

200% return

Dow Jones

The more we share the smarter it gets.

Googledocs determined the commonality of what I was entering and automatically

completed the rest of the list.

GoogleDocs searched the web.

Next generation versions will be able to tell you what correlations

exist between two seemingly unrelated attributes

We like …

We don’t like …

A picture

Digital Native e-BPML

Latent Semantic AnalysisCloud

Offensive Information Sharing

Consumer

My Assertion

Areas IT can help in 2020:– Knowledge– Operational Efficiency– Staff– Efficient Process

IT can/should be the differentiator

What is your picture?

What colors do you use?

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