May 1 - 2:30 Minutes
When most people come across the word "Artificial Intelligence", they think of robots. It is evident because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth.
The ideal characteristic of artificial intelligence is its ability to rationalize and achieve a specific goal. It has very clearly grown into one of the most innovative and game-changing technologies. Moreover, AI's role has become evident within financial services. At the same time, it has become crucial in the digital realm of remittances by providing improved services.
Categorization of Artificial Intelligence
Artificial intelligence is divided into two different categories, namely weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. The examples of Weak AI systems are video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.
Strong artificial intelligence systems carry on tasks considered to be human-like. These tend to be more complex and complicated systems. Hence programmed to handle situations through which they can solve problems without human involvement. These kinds of systems can be found in applications like self-driving cars or hospital operating rooms.
Machine Learning and Security
A subset of artificial intelligence is machine learning. In simple words, computer programs can automatically learn from and adapt to new data without being assisted by humans. Hence deep learning techniques enable this automatic learning through the absorption of vast amounts of unstructured data.
AI is proving its potential to boost financial services and replace traditional services to deliver to their customers. It empowers Fintech firms to have more informed and bespoke products and services. For example, AI is used for sanction and fraud prevention in the payment industry. Until recently, many organizations screened for sanctions by checking data stored in the mass database.
The Future of Artificial Intelligence
Few researchers commented that in the next few years, the financial services industry would adopt AI along with security and compliance and other backend processes. However, money transfer operators (MTOs) could soon be incorporating AI on their frontend applications to enhance customer experience. The best example in the current scenario is machine-learning-powered 'chatbots' offering 24/7 and guidance to MTO customers. The use of natural language processing and voice-based services helps to understand queries and provide solutions. Hence AI enhances the overall end-user experience.
AI could also be used for managing the rates and fees charged to remittance customers or end-users. MTOs can apply machine learning to begin predictions based on various factors, including existing data, patterns, and even seasonal changes. As a result, it will help you to set their rates and charges more effectively.
The road ahead for Artificial Intelligence
AI has continued to evolve with time by reducing and eliminating manual process for financial service sectors. Also, AI and machine learning are beginning to drive a wide range of processes in the digital remittance realm. The outcome of this increase in automation is the opportunity for many companies to work efficiently.
Are you interested in upgrading your International Money Transfer Business?
At RemitAll Software, we endeavour to predict the developments in the financial services industry. This attribute allows us to assist your operations to stay up to date and consistent. We offer support from our end to continuously enhance your remittance operations. To know more about us, please write to us at firstname.lastname@example.org, and we will help transform your international money transfer business.
Reading Time. 2:30 Minutes
Irene has completed her post-graduation in Integrated Marketing Communication from Calcutta Media Institute, Kolkata, India. Her key areas are blogging and content writing. She is in this industry for three years. Her interest areas include travelling listening to music, and painting.
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