TA2: Systems Overview

What is IBM Watson?


IBM Watson was originally built to make aid IBM in innovations by combining artificial intelligence (AI) and sophisticated analytical software to quickly scan massive quantities of data and answer questions in an easy and personable manner.  A major bonus of using Watson is that it can correct problems of human error. This question machine pieces over 100 algorithms to make the case for each answer returned, then makes case based on over all credibility before producing the correct answer (“A Computer Called Watson.” N.D.). IBM Watson is currently being used in over 75 industries in 17 different countries.  Watson has helped in a variety of industries, such as marketing for The North Face and Kia Motors to analyze and mine social media, identify audiences, predict behaviors, and build targeted marketing plans.  IBM Watson is being used in Finance as well by helping banks comply with new regulations (Gallaugher, 2017).

https://www.businessinsider.com/ibms-watson-may-soon-be-the-best-doctor-in-the-world-2014-4

The Future of Watson: Financial Analytics


Although the introduction of this technology is new to the finance world, IBM Watson is starting to make a big introduction in the finance world. Watson’s cognitive computing prowess is almost endless.  Because the device can perform text mining and complex analytics on huge volumes of unstructured data, it can support a search engine or an expert system with capabilities far superior to any that already exist (Power, 2015).  A major area of work that Watson is currently taking on is risk and regulations in the banking industry, managing risk amounts up to 10%-15% of its operating budget, which equates to roughly $270 billion per year.  With such constant increasing cost, this number can only increase in time.  Not only does Watson help with this, but with regulatory guidelines, which currently amounts to over 300 million pages of rules and regulations. To help combat this, Watson processes at a rate of 80 teraflops (trillion floating point operations per second). Currently, Watson is being trained in regulatory compliance with risk management and recognizing potential complications and to analyze financial transactions for financial crimes (Trejo, 2017).  Each year, institutions spend almost $50 million to regulate financial crimes.  These processes are very tedious in nature, requiring significant time to collect and analyze the information to make a final determination. Watson applies cognitive computing, robotic process automation, identity resolution, network analysis, machine learning and other advanced analytics to accelerate this process and monitor the system.  By allowing Watson to oversee transactions, it helps reduce investigation times when actual crimes take place (Trejo, 2017).

Watson within IVK


IBM Watson will be useful to IVK when assessing risk for loans.  A recent development form the IBM Watson AI system is the deployment for three improvements of risk management for financial firms.  There are several parts of this initiative; a greater focus on financial risks for portfolios (including market, credit, and liquidity), a better look at operational risks (such as financial crimes and compliance), even regulatory information for differing regions. All of this can be accessed and provided as part of the IBM Watson’s report.  With his background in loans, Jim Barton would find the use of IBM’s Watson useful to the IT Department to aid in the assessment of current financial trends and operational risks to better manage their stock portfolio. Additionally, Watson could help IVK process customer inquiries (2.2+ million) and sort them based on overall profitability.  This would increase the firm’s overall turnover which in turn would increase profitable loans funded.


References
Austin, R. D., Nolan, R. L., & ODonnell, S. (2016). The adventures of an IT leader. Boston, MA: Harvard Business School Publishing.

 “A Computer Called Watson.” N.D. Icons of Progress: A Computer Called Watson. Retrieved from http://www-03.ibm.com/ibm/history/ibm100/us/en/icons/watson/

Groenfeldt, Tom. (2018, June 21). IBM’s Watson Takes on Risk and Regulation in Finance. Forbes. Retrieved from https://www.forbes.com/sites/tomgroenfeldt/2018/06/21/ibms-watson-takes-on-risk-and-regulation-in-finance/#36bd5003b3d8

John Gallaugher. (2017). Information Systems: A Manager’s Guide to Harnessing Technology. Boston, MA: FlatWorld
Power, B. (2015, May 27). How Watson Changed IBM. Harvard Business Review. Retrieved September 2018, from https://hbr.org/2014/08/how-watson-changed-ibm

 Rouse, M., & Burns, E. (2018, June). What is IBM Watson supercomputer? - Definition from WhatIs.com. Retrieved September 2018, from https://searchenterpriseai.techtarget.com/definition/IBM-Watson-supercomputer

Trejo, Christina. (2017, June 14). With Watson Financial Services, IBM Launches Cognitive Era of RegTech. IBM. Retrieved from https://www-03.ibm.com/press/us/en/pressrelease/52573.wss

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