Prof. Alo Ghosh, the Co-founder of OnLLiance, a serial entrepreneur, who 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 joins Risk Roundup to discuss How Deep Learning will Disrupt Financial Sector.
How will Deep Learning Disrupt Financial Sector?
Deep learning is driving today’s Artificial Intelligence Explosion.
As the evolving story of an 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 their own, in a timely and cost-effective manner.
Deep Learning seems to be bringing the beginning to an end for the 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 the Financial Sector.
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About the Guest
Prof. Alo Ghosh is a seed investor, co-founder, interim CXO, sage advisor to startups in AI, fintech, edtech, and impact investing. He is a trusted advisor to startup-growth-MNC decision-makers for creating sustainable competitive value.
He is a data science leader who is trained and experienced in statistics, econometrics, OR, AI, quant finance-economics. He has successfully sourced & funded multibillion-dollar PE deals, headed a $4B country wealth fund, and advised CXO’s worldwide. He has taught Wharton MBAs, co-led McKinsey corporate finance, and bootstrapped SV fintech startup to $100M.
Prof. Ghosh is a hands-on Silicon Valley co-founder, interim CXO & risk manager of FinTech startups in insurance & investments. He has over thirty-five years of learning & practice at the cutting edges of finance, strategy, technology in some of the world’s most storied institutions as well as with the most diverse of startups, universities, governments, private equity funds, hedge funds, investment banks & sustainable development non-profits/NGOs in several different parts of the world
- Co-founder, interim CXO, seed funder to Silicon Valley FinTech & EdTech startups
- Advisor to decision makers in hands-on creation of sustainable shareholder value
- Trained data science expert in statistics-econometrics, O.R., quantitative finance
- Created business plans for projects and ventures securing $’000million in funding
- Sourced large PE deals, headed country wealth fund, consulted widely in S/E Asia
- Taught Wharton MBA, co-led McKinsey finance, forged global fintech consultancy
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Reference Episodes
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