Intelligent Machine Applications of Artificial Intelligence

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 The post Intelligent Machine Applications of Artificial Intelligence appeared first on Risk Group.