How will Deep Learning Disrupt Financial Sector?

Prof. Alo Ghosh, the co-founder of OnLLiance, has led an extraordinarily distinguished career. In addition to being serial entrepreneur, he has extensive experience investing in India and the Asia-Pacific. He also has taught at Wharton and created one of South Asia’s first institute teaching degrees and diplomas from the London School of Economics, Oxford and Cambridge. Today, he joins Risk Roundup to discuss “How Deep Learning will Disrupt Financial Sector”.   Overview Deep learning is driving today’s Artificial Intelligence explosion. As the evolving story of artificial intelligence explosion and intelligent computing brings advanced algorithms, machine learning, deep learning, and cognitive computing to solve problems faced by nations: its government, industries, organizations and academia (NGIOA) in cyberspace, geospace and space (CGS) that were typically performed by we, the humans; the growing concerns that in the coming years, human intelligence will not be able to keep up and solve complex problems surrounding them in cyberspace, geospace and space (CGS) on its own, is getting very real. There are numerous reports emerging from across nations that deep machine learning has convincingly penetrated complex business processes across nations: its government, industries, organizations and academia (NGIOA). As entities across NGIOA have begun to use deep learning algorithms, more specifically neural networks that are learning from raw data, they are basically enabling computers or machines to make better predictions and take smart actions in real time. As a result, the role of humans, in taking those decisions is diminishing. The digital global age has grown in scale and complexity, increasing concern that manual business practices, that are driven largely by human intelligence, are no longer sufficient to effectively perform complex tasks on its own, in a timely and cost-effective manner. As we take a step forward in our digital global age journey, it is important to evaluate: * Whether human intelligence is sufficient to manage the complex processes of the financial industry * How will this new wave of digital disruption transform the financial industry * What is driving and fueling the jump in AI solutions * How is Artificial Intelligence, machine learning/deep learning revolutionize the financial sector * Will deep learning replace statistical modeling approaches? * What impact will we see of converging technologies on the financial sector * What role will data mining play in deep learning of the financial sector * Will advancing techniques in deep learning spell an end to fraud or mistakes * What are the benefits of advances in deep learning? * How is deep learning growing the emerging market of chatbots and impacting the finance sector * In which financial areas disruption is imminent due to deep learning * What challenges or security risks will emerge from deep learning applications Deep Learning seems to be bringing the beginning to an end for traditional way of doing things as we know, across nations: its government, industries, organizations and academia (NGIOA) in cyberspace, geospace and space (CGS). It is important that we understand the security risks associated with this fundamental transformation and evaluate its impact. It is important to evaluate how Deep Learning will disrupt Financial Sector? For more please watch the Risk Roundup Webcast or hear Risk Roundup Podcast About the Guest Prof. Alo Ghosh is a seed investor, cofounder, interim CXO, sage advisor to startups in AI, fintech, edtech, and impact-investing. He is a trusted advisor to startup-growth-MNC decision make...