| |October 201819OUR CIVILIZATION IS DEFINITELY STILL A FEW YEARS AWAY FROM HAVING ROBOTS AND MACHINES AT OUR BECK AND CALL, BUT ARTIFICIAL INTELLIGENCE HAS ALREADY IMPACTED LIVES IN MORE SUBTLE WAYSselecting the right stocks from a plethora of options. This is inevi-tably influenced by economic fluc-tuations, political environment, government policies, world events, business scenarios and even social media these days, which results in collection of huge, raw data which needs to be analysed and calcu-lated. Applying machine learning and AI to trading, allows traders to crunch these numbers in real time and in much larger quantities than manually possible, simplify-ing stock trading for individuals and businesses alike.Artificial Intelligence for Retail InvestorsFor a retail investor looking for investment options for his or her own personal wealth and securi-ties, AI has the potential to replace fund managers. However, the idea is still debated by many. In the current scenario, AI has been assisting the fund managers to simplify the task of gathering and analysing reams of informa-tion to execute investing models for an investor. Although, as AI and Machine Learning advances with technological developments, it is possible for retail investors to envision and take control of their investments independent-ly, discounting the backing of fund managers. With AI and Machine Learning support available in the form of apps and bot advisors, individu-als willing to manage their wealth will be able to do so by simply us-ing their smartphones. We recent-ly launched StockNote, a first-of-its-kind, easy-to-navigate content streaming and trading platform that uses the power of AI and Ma-chine Learning to collate news and information about stocks and sectors across India. Apart from suggesting the right funds to in-vest in, AI is also capable of sup-porting investors with managing their funds and taking control of seamless book-keeping of the in-vestments. As AI can transform ex-tremely complex information into a simplified kind, investors will be able to access the informational advantage which was traditional-ly available to only large trading firms and institutions. Threat or evolution of wealth management?AI and Machine Learning are here to stay, and undeniably have the potential to replace traditional ways of investment, by outper-forming human intelligence and by adapting to the rapidly chang-ing market conditions in fraction of seconds. However, AI also pro-vides opportunities for finance professionals, from fund manag-ers to individual investors. With errorless decision mak-ing and analyzing aptitude, in-vestors opting for AI and Machine Learning are better positioned in terms of investments and port-folio management, as compared to their peers and competitors, to succeed in the innovative trading landscape. Yet, for investors, for whom Artificial Intelligence is still more of a spoken word than practice, the option of wealth man-agers equipped with the assistance of super intelligent machines,will always be available.From where we stand today as a civilization, Artificial intelli-gence will continue to thrive and progress in all sectors including the financial sectors. Those who are on the forefront of such rev-olutionary technology are better positioned to capitalize on a wide range of possibilities driven by artificial intelligence.Apart from being a mode of innovating and transforming the capital markets, companies util-ising the power Artificial Intel-ligence and Advanced Learning are potential mines for business-es and individuals to invest their wealth in. The promises projected by AI are inestimable and are capable of surpassing our most imaginative-ly prolific imaginations. Today, we are on the cusp, where a genera-tion is aware of the power of AI and the other is still in awe of Arti-ficial Intelligence materializing into reality. From decision-mak-ing to computing, and from robot-ics to automation in vehicles, and entertainment, AI has left its mark ubiquitously and is on its way to escort the civilization in this impressive social engineering experiment in the history of the world.
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