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PCBB Banc Investment Daily October 16, 2017
Banc Investment Daily
October 16, 2017

Rich Data To Recruit Bankers

If you want to target rich bank customers, you may want to see what devices they use. In a recent Global Web Index study of tablet users, 44% were more likely to be in the top 25% for income. They were also more likely to be parents and fall into the age category 35-44. It is pretty amazing what you can find out when you crunch the data.
Artificial intelligence, or AI, is basically data crunching on steroids. It is used today for a wide range of tasks including medical diagnosis, electronic trading and aviation. It's even quickly becoming a game-changer in the HR process.
A growing number of AI-focused start-ups are making it easier for companies to find and hire ideal jobs candidates. This is especially important as research indicates a sizeable portion of new hires don't work out. That comes at a high cost to the hiring company (or hiring community bank).
AI seems to offer several advantages in the recruiting process. For one, it allows companies to review substantially more resumes than humans can alone. Next, AI can take human biases out of the equation when it comes to candidates' race, gender, background and other factors. There can be cost benefits too.
A growing number of well-known companies are heading down this path. For the past year, consumer goods giant Unilever has been using AI to hire entry-level employees. This has substantially boosted diversity and cost efficiency in the process, according to published reports. On the financial front, Goldman Sachs, Morgan Stanley, Citigroup and others are reportedly among banks exploring the use of AI to sniff out applicants with traits the companies deem advantageous for the job. AI also can help surface things that aren't always evident from a resume or don't necessarily shine through in an interview.
As interest from corporations grows, there is a growing number of AI firms to help them narrow the potential pool of candidates. Some are using AI to ensure companies introduce more diversity into their employee ranks. AI is also helping companies gauge candidates' emotions and truthfulness during interviews.
Another way AI is being used: to give companies a better sense of how an applicant is likely to mesh with the corporate culture as well as perform on the job. This application of AI can measure abstract qualities and turn them into usable data points for hiring decisions. Bank hiring managers are well aware how hard it is to attract and retain top-notch employees. By using AI as a viable option, banks may one day be able to hire only committed, hard-working staff members in a cost-efficient and effective way.
To be sure, we're just on the cusp of these developments, so you probably have some time to take them all in. That said, maybe it is time to look around to see what's out there, as you begin to consider the pros and cons of various AI offerings.
While the technology is still relatively new and the players are still emerging, it's a good opportunity for banks to start doing their homework as things continue to evolve quickly.
After all, Accenture research projects in 18Ys (by 2035), AI technologies have the potential to increase profits in the financial services industry by 31% and increase labor productivity by 40% or more. Who knows where it all comes out, but looking at the data now and again sure is interesting.