Do you understand mutual funds?
I am assuming that you already know a bit about this investment product. However, if you are caught unawares, here is the Investopedia definition:
“A mutual fund is an investment vehicle that is made up of a pool of funds collected from many investors for the purpose of investing in securities such as stocks, bonds, money market instruments and similar assets. Mutual funds are operated by money managers, who invest the fund's capital and attempt to produce capital gains and income for the fund's investors. A mutual fund's portfolio is structured and maintained to match the investment objectives stated in its prospectus.”
The above definition is sure to overwhelm people who are uninitiated in the financial world. Hence there exist specialist investment advisory companies which understand this asset class and can manage and grow your investments in this category. The irony is – usually they will send your investment information in a manner which will challenge your intellectual capabilities in arriving at the financial insights. At the end of each quarter, they would send you a performance report which will look something like this:
The above is just a small snapshot of a lengthy tabular report coming every quarter. If you weren’t already overwhelmed by the definition of the mutual fund, you are sure to get bogged down by the presentation of this information.
Now take a look at the below snapshot: It would be a no brainer if I assume that you found this information a lot more readable than the above. If you are still wondering, the above snapshot is presenting the same information as in the first one, albeit in a much more digestible manner.
Information in the above snapshot is possible through the wonders of Natural Language Generation (NLG). NLG is a branch of artificial intelligence (AI) which generates language from data. NLG products can help investment advisory companies to automate the analysis and language for all funds in their client’s portfolio—every quarter, month or as and when required. Natural Language solutions from companies like vPhrase integrate seamlessly into the existing processes, thus giving portfolio managers and analysts almost spontaneous access to pre-analyzed commentary on existing portfolios. Such solutions free up time for the company’s human capital to focus more on strategic initiatives and can reduce time to market by nearly 15-20 days.
PHRAZOR, the NLG platform of vPhrase, analyses complex data, identifies key points and converts them into readable information using simple words. This makes data so much more human to understand and increases focus on actionable information. For e.g., Personalized performance reports to employees, Analysis of investment portfolio in natural language and data driven journalism (in sports, climate and weather reports etc.) can be efficiently and effectively carried out by solutions like PHRAZOR.
Romil Shah is an AI enthusiast with considerable experience across varied technology domains, primarily Natural Language Generation (NLG), and Blockchain technology. He is passionate about technological innovation and more importantly its real-world applications. His work within the field has brought about constructive conversations and explorations around AI and its extended use in businesses.