The Rise of Natural Language Generation in the Financial Services Industry


Companies throughout sectors are shifting in direction of constructing a data-driven enterprise, the place all the selections throughout the corporate are made based mostly on knowledge, and never essentially by the gut-feeling of their groups. They’re on a mission to gather knowledge that’s beneficial and use it successfully to automate processes and save time. 

The monetary companies trade generates big quantities of knowledge. The worth of this knowledge is extremely depending on how it’s gathered, interpreted, analyzed and saved. Monetary organizations have began adopting rising applied sciences and options to leverage the capabilities of knowledge and drive new enterprise alternatives. 

Applied sciences equivalent to RPA, AI, Machine Studying and Huge Knowledge Analytics assist in monitoring giant chunks of knowledge generated, uncover patterns and set up predictions out of them. These applied sciences make the most of knowledge to extend operational effectivity, improve safety and ship higher companies.

Pure Language Technology (NLG) is one such AI expertise getting used to interpret knowledge and derive helpful insights and understanding from it. NLG interprets structured knowledge and turns it into written or spoken language, simply the way in which a human would. It could examine the enter knowledge and generate summaries and insights out of it within the type of narratives, explanations and options. It allows knowledge storytelling in plain language, that makes the info penetrable for everybody within the group.

NLG for Monetary Companies Companies

Monetary establishments must take care of a lot of structured in addition to unstructured knowledge. Whereas structured knowledge present organizations with key decision-making insights, unstructured knowledge provide outstanding analytical alternatives.

Pure Language Processing (NLP) is an AI expertise that converts textual knowledge into predictions and classifications within the type of numbers. Pure Language Technology (NLG) is part of NLP that turns structured knowledge into written or spoken language. Each these applied sciences when mixed have the capabilities to research the collected knowledge, work together with this knowledge and extract the underlying which means and insights to explain it within the type of written narratives. 

With each space of economic companies having to research and report some type of knowledge, NLG might be put to work to automate repetitive, time-consuming workflows and improve the standard, velocity and consistency of analytics and reporting. The narratives generated by NLG can be utilized by the CIOs, knowledge analysts, portfolio managers and compliance groups to realize a bonus over their opponents. This fashion, the info analysts and executives can dedicate their time on different value-added duties that have an effect on the agency’s backside line. 

As per a latest research, the worldwide pure language technology market was valued at over USD 336 million in 2018 and is anticipated to rise at an annual fee of 19.8% from the 12 months 2019 to 2025. Out of the full market share, the monetary companies, insurance coverage and banking sectors accounted for practically 22% of the market in 2018. The report additionally states that, by 2025, the banking and monetary companies segments are anticipated to dominate by way of the general NLG market share.

Use Circumstances of NLG in Monetary Companies

Deploying NLG resolution can ship brief and long-term advantages to monetary establishments and allow them to:

Generate Actual-time, Strategic Knowledge-driven Selections

The monetary companies trade consistently generates knowledge within the type of reside knowledge feeds. Firms spend hundreds of thousands of {dollars} to research the info feeds and gauge insights from them. NLG helps monetary corporations to clarify the analyzed knowledge in easy language, which is saved within the type of written reviews into the corporate’s inner instruments or dashboards. The inner customers of the agency equivalent to merchants, analysts and fund managers can use the data generated to make knowledgeable choices in real-time. 

Lower-down Time on Report Technology

NLG allows knowledge storytelling, that permits companies to create personalised reviews for every buyer. It automates the technology of data such because the forces that led the agency to its present place, what it means for the stakeholders involved, and what the subsequent plan of action have to be. For instance, it may be used to generate automated personalized insights on the portfolio efficiency of people. This protects a number of time for groups working hours on producing month-to-month insights and reviews. It cuts down the report technology time from days to seconds. 

Forestall Knowledge-driven Frauds

With monetary criminals developing with superior applied sciences to hold out extra refined assaults, it has develop into essential for monetary companies corporations to take measures to stop cash laundering and fraud. Pure language technology instruments, with the assistance of AI expertise, might help compliance groups to raised perceive giant and sophisticated knowledge by highlighting alerts and potential disparities and anomalies within the type of human language. It could thus assist them analyze confidential knowledge and knowledge extracted from varied intermediaries in an environment friendly method.

Other than these, NLG has additionally confirmed to assist handle the revenue and loss calculations, liquidity reporting, money movement, stability sheets, KYC, case administration and rather more for monetary corporations. 

Key Takeaways

The adoption of NLG is on an increase within the monetary companies trade primarily due to the character of knowledge that it offers with. Transitioning to NLG can profit monetary companies gamers by bettering the standard of reporting, saving value and time, producing personalised and interesting evaluation, and enabling knowledge standardisation. 

There’s a big alternative to automate recurring processes whereas matching the extent of sophistication of knowledge reporting and evaluation. The narratives generated by NLG instruments even have the power to pinpoint errors and establish points even earlier than they happen, thereby saving a number of time, effort and cash for the finance gamers.

All these components have spurred the adoption of NLG within the monetary companies sector. Nonetheless, for enterprises that haven’t leveraged the potential of this expertise but, it’s excessive time to begin utilizing it now to amplify knowledge analytics and reporting.

In regards to the Writer

Neerav Parekh is the founder and CEO of vPhrase- an AI-powered firm that makes use of enterprise intelligence and reporting automation to offer insights from knowledge utilizing narratives. Phrazor, a self-service BI device by vPhrase makes use of pure language technology to rework advanced knowledge into merely advised narratives. 

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