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 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 $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

About the Host of Risk Roundup
Jayshree Pandya (née Bhatt) is a visionary leader, who is working passionately with imagination, insight and boldness to achieve “Global Peace through Risk Management”. It is her strong belief that collaboration between and across nations: its government, industries, organizations and academia (NGIOA) will be mutually beneficial to all—for not only in the identification and understanding of critical risks facing one nation, but also for managing the interconnected and interdependent risks facing all nations. She calls on nations to build a shared sense of identity and purpose, for how the NGIOA framework is structured will determine the survival and success of nations in the digital global age. She sees the big picture, thinks strategically and works with the power of intentionality and alignment for a higher purpose—for her eyes are not just on the near at hand but on the future of humanity!
At Risk Group, Jayshree is defining the language of risks and currently developing thought leadership, researching needed practices, tools, framework and systems to manage the “strategic and shared risks” facing nations in a “Global Age”. She believes that cyberspace cannot be secured if NGIOA works in silo within and across its geographical boundaries. As cyber-security requires an integrated NGIOA approach with a common language, she has recently launched “cyber-security risk research center” that will merge the boundaries of “geo-security, cyber-security and space-security”.
Previously, she launched and managed “Risk Management Matters”, an online risk journal and one of the first risk publications, publishing “Industry Risk Reports of Biotechnology, Energy, Healthcare, Nanotechnology, and Natural Disasters” over the course of five years. Jayshree’s inaugural book, “The Global Age: NGIOA @ Risk”, was published by Springer in 2012.

About Risk Roundup

“Risk Roundup” is an “integrated strategic security risk dialogue” for nations: its government,  industries, organizations and academia (NGIOA) in cyberspace, geospace and space (CGS).Risk Roundup is released in both audio (Podcast) and video (Webcast) format and is available for subscription at (Risk Group WebsiteiTunesGoogle PlayStitcher RadioAndroid, and Risk Group Professional Social Media).

About Risk Group
Risk Group believes that risk management, security and peace walk together hand in hand. Though security is related to management of threats and peace to the management of conflict, risk management is related to management of security vulnerabilities as well as management of conflict, and it is not possible to conceive any one of the three without the existence of the other two. All three concepts feed into each other. Risk Group believes that the security we build for ourselves is precarious and uncertain until it is secured for everyone across nations. Tradition becomes our security-so if we build a culture of managing risks effectively it will lead us to security and security will lead us to peace!

Copyright Risk Group LLC. All Rights Reserved