De Cómo la Inteligencia Artificial, analítica y los datos están revolucionando la Banca. Por el fundador de mindbridge.ai - Seguridad Mania.com - España y América Latina

In the recent years, financial services have made a significant investment in the big data infrastructures but have yet to see adequate returns on applying analytics to them. Artificial intelligence and machine learning bring new capacities regarding data discovery and advanced anomaly detection while helping finance professionals create new efficient workflows around data discovery. The real value of AI is in uncovering new patterns and fully leveraging big-data. By applying fast, AI empowered analytics against data structures, the return on the value of IT investment is quickly realized. Technological breakthroughs like Artificial Intelligence is having a disproportionate effect on financial services. It has the potential to introduce new sources of growth and is already changing how work is done. With its advanced self-learning algorithms, it is enhancing the professional judgment of finance professionals in finding “needle in a haystack” fraud attempts and material misstatements that otherwise would go unnoticed with antiquated approaches. This webinar is intended to help you understand that Ai and autonomous systems are affecting major aspects of financial services. These technologies are well poised to give a never-before advantage to financial institutions. Bio of the speaker: Solon Angel is an enterprise innovator, visionary founder and Chief Strategy Officer of MindBridge Ai. His time in Silicon Valley shaped his business philosophy of watching trends and building product-centric companies that solve massive market problems. Solon’s 16 years of experience in high-tech firms ranging from ERP, CRM, venture capital to business analytics and deep knowledge of CAATs as the former product manager at audit analytics company, make him the perfect technology strategist to reshape how companies around the world detect misstatement, fraud and reduce organizational risk