Machine Learning Based Market Forecasting

Tony Nash, CEO, and Founder of Complete Intelligence, a data technology firm using the world’s largest proprietary artificial intelligence and machine learning platform to forecast commodities, currencies, equity markets, economics, and international trade participates in Risk Roundup to discuss Machine Learning based Market Forecasting. Overview Machine Learning Based Market Forecasting Machine learning, an evolving method of data analysis that automates analytical model building, is well on its way to making complex decisions without much human intervention. This developing ability to apply complex mathematical calculations to growing data is becoming very important. The combination of advances in big data, in powerful computational processing techniques, and in cloud computing and data storage means that it’s now possible to automate model building to quickly analyze data and deliver faster and more accurate results in an affordable manner. As a result, any entity that works with large amounts of data will likely benefit from the evolving machine learning capability. Even more, those that work in “Forecasting”, which is basically an attempt to quantify the future to better prepare for expected future events, will also benefit, as this also depends on large amounts of complex data. While we are still at the beginning of the machine learning journey, the ongoing research opens many new avenues for advanced predictive analytics that will bring forecasting power to entities across nations: its governments, industries, organizations, and academia (NGIOA) in the years to come. Time is now to talk about Machine Learning based Market Forecasting! For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast About the Guest: Tony Nash is the CEO and Founder of Complete Intelligence, a data technology firm using the world’s largest proprietary artificial intelligence and machine learning platform to forecast commodities, currencies, equity markets, economics and international trade. Previously, Tony built and led the global research business for The Economist (EIU) and the Asia consulting business for IHS (now IHS Markit). He has also been a social entrepreneur, media entrepreneur, writer, and consultant. Tony is a frequent public speaker and leader of closed-door dialogues with business and government leaders on markets, economics, risk, and technology. He is a contributor to leading global media (BBC, CNBC, Bloomberg, etc) and has served as an advisor to think tanks in Beijing and Washington DC. Tony is also an international advisory board member for Texas A&M University and a non-executive director with Kredit Microfinance Bank in Cambodia. He has a Master’s Degree in International Relations from the Fletcher School of Law & Diplomacy at Tufts University and a BA in Business Management from Texas A&M University. 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 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 Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence 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 Machine Learning Based Market Forecasting appeared first on Risk Group.