Predicting & Preventing Cybercrime in a Post COVID-19 World Using Big Data & AI - ERP Spain.com - España y América Latina

In a world that changed overnight to all digital because if the pandemic, a new wave of Cybercrime came with more vicious and a much larger scale. From simple email hacking to a large cyber terrorism crime, cyber criminals have had their best opportunity to take advantage of a world that became totally dependent on technology before it was ready for it. Yet, with all this gigantic amount of data collected from billions of people and the extreme speed of AI and Machine Learning advancements it might be easier to profile criminals, monitor their behaviors, predict their next move and stop it before it happened. How could this be achieved? This is the core focus topic of this session. Topics: - Cybercrime before and during COVID-19. - The growth of cybercrime during the pandemic and the effect on economy, business, education and healthcare. - Big Data and Mass Surveillance: How can AI and Big Data help profiling current and potential criminals. - AI Prediction Models for future cybercrime and how can it be utilized in predicting and stopping cybercrime before it happens. - Challenges of cybercrime prediction models: Bias, lack of info and accuracy level.