1

IT Career Started in 1991

@techdadda

2

1960-Mid 2010 Transactional World

• Lots of technology changes from Mainframe, Client Server, Web

• Screen input changing from Green to Thick to Thin to Small and Thick to ?

• Access to systems changed from a few users to millions

• Maybe some improvement on the COGS for IT

• From mainly batch processing to real-time processing of data

• People still keying or loading transactions in and making decisions based on screens and reports

What has REALLY changed with how applications work?@techdadda

3

We are in the Age of Machines

@techdadda

4

What is the Definition of Machine Intelligence?

Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior.

Machine learning is a subfield of computer science[1]

that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1]

Machine learning explores the construction and study of algorithms that can learn from and make predictions on data.[2]

Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,[3]:2 rather than following strictly static program instructions.@techdadda

5

2010+

•Machine Learning•Natural Language processing•Artificial Intelligence

@techdadda

6

In Hindsight - Military Logistics

• How many bombs should I ship where?

• Should I buy more meatloaf MRE?

• What’s the quickest and cheapest way to deliver those bullet proof vests?

@techdadda

7

In Hindsight – K12 Education

• Student to School assignment

• Most Productive class

• Self guided learning

@techdadda

8

In Hindsight - HR and Payroll• How much

should I pay him?

• Find more people like this

• At risk employees

@techdadda

9

In Hindsight - Healthcare• No more

keying in fields Doc

• Finding the disease in the data

• You can’t hide from your doc

@techdadda

10

Top Things to do to Introduce Intelligence

• Look for repetitive simple tasks people are doing that a machine can do today.

• Start simple with regression analysis (Look alike) then move to more sophisticated items such as Bayesian, Game Theory, or Reinforcement learning.

• Look for opportunities where you couldn’t solve problems in the past or depended on manual keying of data.

• Micro Services and APIs so its easy introduce things a little at a time.

• Try and store all the data even if you aren’t sure you’ll process it.

• Mobile is changing the old keyboard and mouse stigma. Think about this in desktop UI as well.

• Don’t feel like you have to build it yourself leverage Open Source or COTs – Nuance, Spark, Watson, Mahout, h20.ai, R, AWS ML, etc…

@techdadda

11

Is Teradata Marketing Doing These Things?

• There is opportunity in Marketing Planning

• Traditional Campaign management

• Consumer engagement tools such as email, social, and mobile.

• Advertising buying, Marketing Mix, Attribution

You will have to join us to learn more…

Tweet me for more information

@techdadda