Why it matters: Machine learning models autonomously improve through data, driving advancements in healthcare, finance, and numerous other industries.
Why it matters: Artificial Intelligence can play a very crucial role in improving fraud detection, and help FinTech startups, banks, and social media payment systems. Improvement of fraud detection in banking using machine learning while reducing time. Here is my take on it.
Why it matters: All organizations lay out their vision and roadmap of large initiatives every year; some successfully achieve them. If you or your organization are working on such large initiatives and want to use automation to improve your process and roll out larger initiatives, please read on.
Why it matters: To maximize the full potential of AI you need to rethink how your organization operates currently, it requires a complete shift in company culture and requires a restructuring of the teams based on the goals or business objectives your organization would like to achieve.
Why it matters: Recommendation and personalization are two major opportunities of our time. Better recommendations of the content users are consuming showcases better engagement and user experience using artificial intelligence and machine learning.
Why it matters: Living with AI believes AI will impact our society positively and contribute to accelerate our human development and its challenges. “Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on school children, farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have.