Relevancy Modeling with Symbolic AI
At time of crisis, everyone is scrambling for the latest news for signals of changes and make decisions to mitigate risk. Average person uses common… Read More »Relevancy Modeling with Symbolic AI
At time of crisis, everyone is scrambling for the latest news for signals of changes and make decisions to mitigate risk. Average person uses common… Read More »Relevancy Modeling with Symbolic AI
In my previous post, I introduced the ELAINE Community Tool that can be used to discover variables from textual communications. Statistical predictors work well for… Read More »ELAINE use case – Improving statistical prediction on financial market with Symbolic Logic
ELAINE Symbolic AI offers community tool to cure “TL;DR” Syndrome The idea of applying Natural Language tool to advance human intelligence is not new. Examples… Read More »ELAINE Symbolic AI offers community tool to cure “TL;DR” Syndrome
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… Read More »Natural Language Understanding (NLU) in Enterprise – Digesting IPO Prospectus
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… Read More »Towards Artificial General Intelligence in Enterprise – Data Science Driven by Statistics Requires New Qualitative Analytics to Model Disruptive Changes
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… Read More »Artificial Intelligence in Enterprise – Robo-Management Consulting is a Reality
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,… Read More »Natural Language Understanding – Application Notes with Context Discriminant
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… Read More »Artificial Intelligence in Enterprise – Meta-Vision improves outlook and quarterly earnings call for publicly traded companies
Background Prevailing AI technology for analytics prefer the use of statistical science as the foundation for machine learning (ML) on historical data to distill… Read More »Introducing Context Discriminant – Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion
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.… Read More »Artificial Intelligence in Enterprise – Using Meta-Vision to Disrupt Business Models for Products and Service