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Sing Koo
  • Male
  • Cupertino, CA
  • United States
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Profile Information

Short Bio
Worked with AI, big data analytics for over 30 years, developed high performance solutions for realtime cyber security analytics, sentiment analytics, and innovated artificial intelligence with symbolic logic to augment machine learning.
My Web Site Or LinkedIn Profile
http://www.sitefocus.com
Professional Status
C-Level
Years of Experience:
45
Your Company:
SiteFocus
Industry:
Analytics
Your Job Title:
CTO
How did you find out about DataScienceCentral?
LinkedIn
Interests:
Networking, New venture
What is your Favorite Data Mining or Analytical Website?
http://www.sitefocus.com

Sing Koo's Blog

Natural Language Understanding (NLU) in Fraud Risk Management – a case study

Posted on April 10, 2018 at 1:30pm 1 Comment

I.  Introduction

This is a continuation of my previous blog, “Natural Language Understanding – Application Notes with Context Discriminant”. 

Background:

Natural Language Understanding (NLU) is a subtopic of Natural Language Processing (NLP). Successful implementations of NLU are difficult because of limitations in prevailing technology. SiteFocus solved these limitations with a new approach to NLU. This approach has been successfully…

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Natural Language Understanding (NLU) in Enterprise – Digesting IPO Prospectus

Posted on October 31, 2017 at 2:30am 0 Comments

Introduction

Business ventures based on existing or disruptive business models taking on the route of Initial Public Offering are always a challenge to investors who want to profit from early investment into those would be “unicorn IPO”. A good investment may get worse before it gets better. Others may get worse and never recover. Aside from the macroeconomics and consumer trends that could affect the outcome of such investments, the fundamentals of these new public offerings…

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Natural Language Understanding – Application Notes with Context Discriminant

Posted on October 6, 2017 at 1:00pm 0 Comments

Introduction

Deep Learning can be used to automate just about every repetitive task that is currently or formerly performed by humans. Factory robots, autonomous cars, Internet of Things are example of these automations. Yet, mentally challenging tasks such as conducting research or strategic planning with natural language textual documents remain a daunting task for automation. We look into the root cause of this challenge and have implemented a solution to automate these…

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Towards Artificial General Intelligence in Enterprise – Data Science Driven by Statistics Requires New Qualitative Analytics to Model Disruptive Changes

Posted on September 10, 2017 at 4:00pm 0 Comments

Who’s this article for:

This blog is intended for enterprise data analysts, line of business users, and data practitioners who work with qualitative and quantitative data in decision-making.

How enterprise currently use data science and business intelligence today

Quantitative analytics based on statistical models predict outcome with data models built from historical datasets using machine-learning algorithms 

  • Enterprise managers use…
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