Key Points Discussed:
- Customer Intelligence and Support
- Lending and Risk Management
- Fraud Detection and Enhanced Verification
Key Points Discussed:
Here’s how tech’s real life applications are saving costs and generating revenue for the banking industry:
Sifting through mountains of consumer data is a challenge for established banks and up-and-coming fintech services alike. Not fully understanding what to do with data poses a threat to a company’s productivity and ability to meet consumer demands, and it’s in this area where AI can play a pivotal role. Instead of coming up with new products and services, banks can use AI to better understand and meet the needs of consumers based on what the data says.
For example, credit inaccessibility is a major issue for young generations. Petal Card found that around 10 million of Gen Z and millennial consumers are not able to start building their own credit because of restrictive initial requirements. This is a major loss for financial agencies and businesses alike, given that the two generations combined account for billions in purchasing power. This means that finding ways to prove a person’s credit worthiness through AI can address a crucial need of this major demographic.
Another customer-oriented aspect that AI enhances is support. Intelligent chatbots and voice assistants are becoming more and more common even for established banks like Standard Chartered. The company uses a conversational AI platform specifically trained in the language of finance. Reaching out to a bank with such technology is like talking to a real human that is trained — and is continuously “learning” — to answer any questions pertaining to the services offered. These cases are examples of how AI can bolster the front office operations of the financial services industry. Our own NMIS (network management information systems) can be particularly useful in managing data, which in turn can help banks provide better products and service.
Instances of banking discrimination and bias are still rampant in the US, where minority groups and women are ignored by financial institutions. This is where fintech services can step up, with machine learning solutions that generate more accurate risk assessments based on hundreds of variables gathered from existing data. AI-based underwriting tools can help with minimizing losses from borrowers, regardless of their background, offering more equitable rates, and maintaining a culture of fairness when it comes to lending.
AI-powered contracts are another example of improved risk management, which is currently being used by big names like JP Morgan Chase. The financial services giant uses smart contracts enabled by both AI and blockchain technology to increase transparency between lender and borrower, as well as automate payment mechanisms without risking privacy.
Last but not least, AI is proving its worth in increasing banking security, particularly in the form of detecting and preventing fraud. However, fintech company Socure conducted a survey on banks and other financial services, which concluded that only one-third of their participants employ AI in detecting fraud and risk. Machine learning and predictive data analysis can prove to be useful in verifying user identity and the legitimacy of their application.
Overall, its uses on enhancing service and minimizing risks for bankers and clients prove just how invaluable AI has become in the financial services industry. Given these cost-saving and revenue-generating benefits, we can expect a wider adoption of more fine-tuned applications of AI in banking this year and the years to come.
Automation can be defined as the process of carrying out tasks through the use of technology, with minimal human supervision. As a result, it can improve overall safety and reduce the margin of human error, leading to an increase in productivity. In fact, an article by Harvard Business Review cites academic research on automation estimating that 47 percent of occupations in the United States could be automated within 20 years. Now that technology is advancing even more rapidly than ever, how can the process of automation help you in your career?
1. It can lead to further job opportunities
Sharon Hunneybell explored how process automation can lead to the creation of new jobs, opening up future roles for automation analysts, integration architects, and data quality analysts. If you’re a part of this field and you’re interested in working with the latest and greatest in technology, it’s a good idea to start figuring out how you can stay ahead of the crowd. In order to make manual and repetitive tasks a thing of the past, try figuring out how automating processes can integrate with your current business practices. Automating your workload can help you free up time to onboard staff with efficiency.
2. It can help source talent
If you’re part of a HR department, automation can help you search for talented staff much more quickly and onboard them with more efficiency. Case in point, Marcus points out that AI can help find in-house talent, which UnitedHealth Group currently uses through an algorithm that can identify leadership qualities among its pool of employees. This information can also be used to identify and nurture early-career employees for leadership roles. Not only will this save time, but it also ensures that your top-performing candidates are adequately recognized. During the onboarding process, automation can also benefit you through the creation of custom onboarding packages such as online forms, key checklists, and welcome e-mails for new hires. This ensures that they’re aware of any important security measures at work and that they’re ready to hit the ground running.
3. It can improve security and operations
IT teams and security operations are vital aspects of any business. Among their most time-consuming tasks involve operations and maintenance. However, an article on IT processes on EnterpriseTalk states that “IT professionals themselves believe that almost 20 percent of their current daily tasks could be automated by AI.” For instance, conditional access can be granted to certain employees so that security screening can be innovated, as well as software installation, batch processing, and server monitoring. Start exploring how robotics process automation (RPA) will work in your organization by downloading the Opmantek Virtual Machine today and activating your free license for up to 20 devices. If you would prefer to have an engineer walk you through the software, you can also request a demo.
Evidently, automation provides countless benefits for the day-to-day aspects of almost every role in your team. You can maximize profits, keep operational costs down, and free up time for your highly-skilled employees to perform more challenging tasks or shift into other roles. Now it’s time to take that step forward and explore how automation can best be integrated into your business practices.