Video Banking on the Verge: Two-Way, Interactive Customer-Facing Installations Show Promise for Cost Savings, Increased Service
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
[ILLUSTRATION OMITTED] Imagine doing away completely with an in-person teller line and instead offering branch customers a row of what look like automated teller machines on steroids, each with a high definition monitor, the other end of which is focused on a customer service representative located in some centralized location that may be miles away. The customer and rep conduct business screen-face to screen-face in real time and can complete just about any transaction an in-person teller could do. The rep would automatically be able to address the individual by name, because the customer's identification would be verified and all the account information would be available instantly. Cash could be dispensed, checks received, forms signed, and most any problem solved. Then imagine having this capability at 2 a.m., or whenever the customer found it most convenient to do business. That's one scenario of video banking that is starting to take shape, if not in the United States, yet, then in a number of other countries--notably Great Britain, India, Germany, Norway and, more recently, New Zealand, Australia, and South Korea. A handful of credit unions have already embraced this technology, however. Gene Pranger, CEO of uGenius Technology, Sandy, Utah, which has been working with several credit unions since 2009 on such systems, claims they reduce staffing, increase operating hours, free up managers to focus on products and services, and boost employee retention. Also, he says, consumer research, we've found that 90% of customers who use our machines are either very satisfied or extremely satisfied with their transactions. He adds customers find it faster, easier and more personal than traditional teller lines. If that seems odd, consider that in some urban locations, teller transactions are conducted through plastic bandit barriers, and also that younger customers have been raised on video and texting. Step into the high-def room In a second scenario of video banking, imagine a customer coming into a branch needing the services of a particular loan specialist or licensed professional, but that individual is physically located miles away in another branch. Instead of forcing the customer to make an appointment and come back another day, a bank rep would direct the customer into a special room set up with high definition video screens, cameras, finely tuned acoustics and lighting. The bank specialist would go into a similar room down the hall from his or her office, connect over special lines and immediately get down to business. This so-called immersive connection offers life-sized video of each individual and allows the illusion of a face-to-face meeting. It is almost like being there. You can't shake hands, but you can exchange business cards, says David Stern, who is global video services leader for IBM. He's helped set up such systems for businesses in Canada, Italy, Denmark and Greece, and sees a lot of potential for such applications for banks in the United States. It's taken a while but retail organizations are starting to figure out how to leverage the technology in an affordable way to generate revenue ... I think it's coming, he says. Many larger and regional banking companies have already embraced video conferencing as a way to facilitate staff and executive communications. Back-office meetings, training courses, and other consultative, in-house sessions have offered serious savings in travel time and costs, boosted productivity, and reduced corporate carbon emission tallies. Bank of America, in fact, recently contracted with Cisco Systems Inc., Charlotte, N.C., to install 200 Telepresence rooms across its office network, targeted specifically for staff-only use. [ILLUSTRATION OMITTED] This is different from video banking with customers at the retail level, however. Security for the types of things discussed in a customer-facing video system, while stringent, would be much different from the type of security required for the back-office video conferencing networks, says Jonathan Brust, vice-president/marketing, Glowpoint Inc. …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it