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Sing Koo's Blog (8)

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

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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Added by Sing Koo on April 10, 2018 at 1:30pm — 1 Comment

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

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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Added by Sing Koo on October 31, 2017 at 2:30am — No Comments

Natural Language Understanding – Application Notes with Context Discriminant

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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Added by Sing Koo on October 6, 2017 at 1:00pm — No Comments

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

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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Added by Sing Koo on September 10, 2017 at 4:00pm — No Comments

Artificial Intelligence in Enterprise - Robo-Management Consulting is a Reality

Introduction

Much of the recent AI revolution has been focused on automation through big data and/or sensors and feedback into neural networks. The resulting applications are highly valuable to businesses and consumers. They improve quality of life by optimizing labor and resources. However, these applications fall short when it comes to handling human reasoning. Much of the rationale behind the operation of these systems are implicitly embedded in the data.…

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Added by Sing Koo on June 22, 2017 at 11:30am — No Comments

Artificial Intelligence in Enterprise – Using Meta-Vision to Disrupt Business Models for Products and Service

Introduction

Enterprise business models evolve over time for many reasons. The Internet has been a key factor driving enterprise business model change in recent years. The recent popularity of smartphones has disrupted consumer habits in travel, investment, entertainment, communication, social engagement, dining, shopping and many daily activities. Consequently, enterprises have been forced to change their business models. While some changes are progressive, others are…

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Added by Sing Koo on June 1, 2017 at 4:30pm — No Comments

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

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…

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Added by Sing Koo on May 25, 2017 at 12:30pm — No Comments

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…

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Added by Sing Koo on May 19, 2017 at 9:00am — No Comments

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