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Sing Koo
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  • Cupertino, CA
  • United States
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Sing Koo's blog post was featured

Artificial Intelligence in Enterprise - Meta-Vision improves outlook and quarterly earnings call for publicly traded companies

IntroductionThe quarterly earnings call is a critical event for publicly traded companies. Each call serves multiple purposes. It is both an important source of information for investors and an opportunity for a company to present a narrative of operational performance, financial health, and strategic vision in their own terms. It’s also an ideal opportunity for executives seeking to manage and optimize outcomes. The advent of AI makes it plausible for the Chief Financial Officer (CFO) or Chief…See More
Friday
Sing Koo posted a blog post

Artificial Intelligence in Enterprise - Meta-Vision improves outlook and quarterly earnings call for publicly traded companies

IntroductionThe quarterly earnings call is a critical event for publicly traded companies. Each call serves multiple purposes. It is both an important source of information for investors and an opportunity for a company to present a narrative of operational performance, financial health, and strategic vision in their own terms. It’s also an ideal opportunity for executives seeking to manage and optimize outcomes. The advent of AI makes it plausible for the Chief Financial Officer (CFO) or Chief…See More
Friday
Justin McBride liked Sing Koo's blog post Introducing Context Discriminant - Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion
May 19
Sing Koo's blog post was featured

Introducing Context Discriminant - Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion

Background Prevailing AI technology for analytics prefer the use of statistical science as the foundation for machine learning (ML) on historical data to distill knowledge and experience. Whether it be supervised or unsupervised, the result is then incorporated into playback engines to analyze new data. These methods and procedures work well for predictable scenarios with known outcomes and known variables. What if the variables are unknown, and the outcome is not predictable by past use-cases?…See More
May 19
Sing Koo posted a blog post

Introducing Context Discriminant - Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion

Background Prevailing AI technology for analytics prefer the use of statistical science as the foundation for machine learning (ML) on historical data to distill knowledge and experience. Whether it be supervised or unsupervised, the result is then incorporated into playback engines to analyze new data. These methods and procedures work well for predictable scenarios with known outcomes and known variables. What if the variables are unknown, and the outcome is not predictable by past use-cases?…See More
May 19

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. Currently, I am the CEO and Chief Innovation Officer at SiteFocus. A venture I founded to commercialize a novel technology to disrupt AI with "Context Discriminant".
My Web Site Or LinkedIn Profile
http://www.sitefocus.com
Field of Expertise
Analytics, Data Integration, Visualization, BI, Big Data, Data Science
Professional Status
Executive Management
Years of Experience:
45
Your Company:
SiteFocus
Industry:
Analytics
Your Job Title:
CEO & Chief Innovation Officer
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

Artificial Intelligence in Enterprise - Meta-Vision improves outlook and quarterly earnings call for publicly traded companies

Posted on May 25, 2017 at 12:30pm 0 Comments

Introduction

The quarterly earnings call is a critical event for publicly traded companies. Each call serves multiple purposes. It is both an important source of information for investors and an opportunity for a company to present a narrative of operational performance, financial health, and strategic vision in their own terms. It’s also an ideal opportunity for executives seeking to manage and optimize outcomes.

 

The advent of AI makes it plausible for…

Continue

Introducing Context Discriminant - Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion

Posted on May 19, 2017 at 9:00am 0 Comments

Background
 

Prevailing AI technology for analytics prefer the use of statistical science as the foundation for machine learning (ML) on historical data to distill knowledge and experience. Whether it be supervised or unsupervised, the result is then incorporated into playback engines to analyze new data. These methods and procedures work well for predictable scenarios with known outcomes and known variables.

 

What if the variables are unknown, and…

Continue

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