Marc Stein, CEO at Underwrite and Principal at Artificial Intelligence Capital Management participates in Risk Roundup to discuss Intelligent Machine Applications of Artificial Intelligence.
Intelligent Machine Applications of Artificial Intelligence
Nations: its government, industries, organizations, and academia (NGIOA) are going through the next wave of digital disruption that is driven largely by Artificial Intelligence (AI).
There are numerous reports that Artificial Intelligence has convincingly penetrated into general applications across NGIOA. From medical diagnosis to stock trading, and robot control to remote sensing, thousands of Artificial Intelligence applications have already been getting deeply embedded in the infrastructure of individuals and entities across NGIOA.
These are just some examples. As we go forward, entities across NGIOA will surely go beyond basic tasks like computing data and collecting metrics to developing more intelligent algorithms to strengthen some of the most important operational, tactical, and strategic technologies and initiatives. This is expected to impact and change not only technology but also business, management, and governance models in cyberspace, geospace, and space.
What does all this mean? It means that, if the decision-makers across NGIOA are not thinking about Artificial Intelligence, Machine-based learning, Deep Learning, and Intelligent Machines now, then they run the risk of their initiatives, products, services, and businesses being undoubtedly disrupted in the coming years.
Intelligent machines are here, and the question is whether we the individuals and entities across NGIOA are prepared for what is to come. Time is now to talk about Intelligent Machine Applications of AI.
For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
Marc Stein is the “CEO at Underwrite” and “Principal at Artificial Intelligence Capital Management” and is focused on practical applications of artificial intelligence to solve real-world problems.
His current focus is on the development of better tools to predict financial risk, especially in credit transactions, and the development of improved diagnostic methodologies for cancer detection by applying machine learning ensemble techniques to a state model of genetic expression.
About Risk Group
Risk Group is a leading strategic security risk research and advisory organization.
Copyright Risk Group LLC. All Rights Reserved
Reference Episodes
Machine Learning Based Market Forecasting
Machine Learning on Insurance Data to Predict Hospitalization
Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
Science of Intelligence – Human Intelligence to Computational Intelligence
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Agricultural Robots
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools
Cyber Underground and Deep Web 