KEITH B CARTER
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Think Different about data

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Critical to Follow the Right Process when doing AI (Actionable Intelligence)

11/19/2020

 
Use the SWAT Framework (Strategic questions, Wrangle data, Analyze, and Take action) This will be "business led analytics" where the questions are developed first. Then sponsors think about how they will Take action and the value of the intelligence is tracked. Finally the Wrangling of data and Analysis is done. Because its intelligence, it is fast! It needs to be, customers and ships can't wait... 

The team structure enables the right delivery. Since intelligence is always "optional" so you need a rapid response business team under the Business Answer Lead and a enterprise operational team with the Data Lead in charge who enables standardization. Business and IT need to work very carefully together. Too often, "data scientists" are hoisted with the entire job, but they lack business acumen/credibility, and don't enjoy data pipelining, so caught in between the leave. An entire organization has the right structure. This structure has been used by the best intelligence operators in the world. Verses the pure data scientist teams we are seeing today which were suggested by vendors/consultants with less stake in sustained business value as an outcome.

February 22nd, 2020

2/22/2020

 
​"Sometimes we need to see to feel."

A SanKey diagram shows the flows of data from one state to another. Customers, represented by data can be shown how they move from webpage to webpage or channel to products, the best outcomes of increased engagement or worst outcomes of drop or lost customer.
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Recipe for success in data driven decision making

2/22/2020

 
Here is a good list of the talent and resources you need to create and sustain your actionable intelligence journey. 

  • One spoonful of purpose‐driven passion
  • One or two strategic business questions to focus on
  • Organization leaders who know they can do better
  • One or more senior leaders/business sponsors to support the effort by removing obstacles and enabling results
  • One business‐led approach to support the culture and mindset change required when new technologies are implemented and strategic business questions are being answered
  • One budgeting process that supports actionable intelligence
  • One or more advisors who know where the relevant data resides
  • One data acquisition team to manage the data needed to answer the question.



  • One data dictionary to act as a cross‐reference between business terms and related data fields
  • One central repository , dead simple to use, easy to control, edit, update, and cheap
  • One visualization team responsible to deliver rapid, iterative answers in a business discovery tool
  • One business discovery software tool that is easy to install and able to start small and scale big.
  • One or more forward‐looking intelligence tools made by the team mentioned previously to provide answers to the strategic questions asked by the sponsor
  • One adoption and insights person who engages business people in value realization
  • One data management team acting as air‐traffic control to orchestrate success

    and the result...





  • Monetized business improvements making the whole team proud.
  • Passionate business ambassadors who share the results with their colleagues.
  • A joyful you, who has joined us on the purpose‐driven journey to improve the lives of others by giving them the answers they need to make better decisions faster and easier.

Machine Learning on the desktop... fast!

2/20/2020

 
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Purists will say machine learning starts with code and equations. Business leaders need to move fast and typically are highly visual. Rapidminer brings these camps together. For fast POCs(Proof of Concepts) Rapidminer lets you drag and drop Gradient Boosted Trees (a more robust and highly descriptive M/L) and it lets the programmers go behind the scenes to implement R or Python. 
Try it out! If you are in my class... its free! (Click Here)

How a machine "sees"

8/8/2019

 
Using Neural Networks, computers can "see", match complex patterns. As kids, we learn, we are handed shapes and are taught their name. Computers are being taught the same way.
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This picture by Professor Andrew Ng, says it all. The colors on the door handle are simply numbers to the computer. Learning is hard, but with math, and decent processing power, its now possible.
Play around with Neural Net Vision here: 
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Get Started With M/L on Cloud Platforms

3/7/2019

 
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Each cloud platform has its strengths. In these "early days" try them all! Each has a free trial, so you have everything to gain.

Train a machine

8/8/2018

 
Check out this tensorflow playground! Great way to visualize how neural networks handle classification problems.
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Google Autodraw

8/13/2017

 
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Try autodraw, the computer tries to guess what you are making, and when you select it, it comes out nice. Try drawing a pizza first! 

    Keith B. Carter
    ​Associate Professor

    Enjoying living in Singapore, teaching amazing students, consulting cool companies, helping startups go Big!

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Copyright 2020 Keith B. Carter, Photos of Keith by Miki Chishaki 
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