The financial industry was one of the first to adopt and appreciate the benefits of artificial intelligence (AI). The annual budgets of large banks amount up to billions of dollars, which is comparable to the state budgets of some developing nations. No surprise that banks and financial organizations will be the key drivers of AI R&D in the FinTech industry. From amplifying customer service to transforming wealth management, financial institutions appear to be waking up to the reality that intelligent technology will be a driving force in the digitization of the financial sector. They will also be the ones to bridge the AI knowledge gaps across other industries and support the FinTech business ecosystem.
The largest and most successful credit organizations have already created official AI strategies.
The majority of the strategies imply that internal or outsourced AI departments and teams be launched. As per the forecast of Autonomous Research, by 2030, Intelligent technologies will enable banks to decrease operating costs by 22%. In the long-run savings of financial institutions can reach $1 trillion.
Simultaneously, an acute problem for large banks is the absence of qualified AI developers and data ****ytics specialists. The lack of developers can hinder the development of technology in many sectors, with FinTech being damaged the most.
The previous wave of FinTech startups and customer applications in the field of financial services was ****ociated with the proliferation of smartphones. At around the same period, the term “FinTech” itself emerged. Smartphones permitted FinTech projects and leading banks to take advantage of customer location determination, encryption, secure remote access, digital signature, etc. As public and private cloud computing platforms came into existance, work with financial data became streamlined and facilitated.
AI and FinTech
Artificial Intelligence gave birth to a new wave of applications and services in the market of finance. Since AI can handle unstructured data such as images, audio, video, location, and time-series data perfectly well, there are AI-based solutions already that are capable to detect fraud, ****ess creditworthiness and risks, recognize an individual based on his/her digital footprints, etc. In the insurance sector, they help automate claims cases, identify insurance fraud, and improve risk management.
By utilizing AI-driven chatbots, banks can take their customer experiences and customer relationships to the next level of maturity, as they help personalize UX in real-time and in the most proficient way ever.
Another AI product category that is extremely popular among banks, and financial organizations is a virtual ****istant. Just like bots, they help walk the client through the services and products of the bank and, thus, improve the user journey, provide insights and set specific calls-to-action to increase goal conversions.
Let’s have a look at some of the most exciting Intelligent Technology initiatives launched by banks and financial organizations.
How Banks take advantage of Intelligent Technologies
FinTech has taught banks to be customer-centric and to foresee future needs. Just like Tesla is something more than just a vehicle, so are banking services, they become whole ecosystems. As clients, we are fortunate, at this moment, someone is creating a new smart robot consultant which will tell you who to invest in and will utilize the voice of your dad to make the recommendation as personalized as possible. That is the manner in which AI helps banks and FinTech startups gain a competitive edge and make a difference when it comes to customer experience.
=Mention Arzooclassifiedads.club when calling seller to get a good deal
Bids