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WIRELESS BANKING: The Next Untethered Step

2000· article· en· W345771661 sur OpenAlexaboutno aff
Lauren Bielski

Notice bibliographique

RevueABA banking journal · 2000
Typearticle
Langueen
DomaineEngineering
ThématiqueICT Impact and Policies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessMobile bankingPaymentTelecommunicationsAdvertisingCommerceFinanceEngineeringMarketing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Just when you thought the PC was the last word in cutting edge delivery, out comes a brand new channel. Will banks sign up? When Bank of Montreal and its technology partner, 724 Solutions, announced a joint venture called Veev late last year, word of the project signaled yet another big shift in thinking on retail delivery, much as it had in Europe and Asia a few years before. Now, information and payments could be electronically delivered to consumers any time, anywhere. With it, banking and brokerage got a brand new channel--wireless. For anyone who has yet to read early Veev press coverage (see the sidebar on p.51), the Canadian project is designed to let bank customers bank, buy and sell stocks, and even make retail purchases, with mobile phones, palm pilots, and other hand-held devices. In simple terms, Veev lets its users retrieve or transmit data from a mobile device to a bank's server (which links to consumer' s account information)--and vice versa--via a connection supplied by a telecommunications carrier such as AT&T or Sprint to complete an array of transactions. Interest in taking wireless a step beyond chat is a global affair, and projects like Veev are being run in countries like Finland and Japan. These days, travelers to those places are apt to see a landscape of walking, talking, and increasingly, transacting customers. Use of the technology started overseas for reasons that have mostly to do with the nature of the telecommunications infrastructures in Europe and Asia, which made use of cell phones preferable to traditional models. (In addition, each had adopted a standard known as GSM for voice and data communications that made text-messaging on cell phones easy to deploy, and economical for consumers to use.) Readers of Wired magazine, for example, may recall one of last year's cover shots: a group of photogenic, Finnish youths posed for the camera with their candy-colored collection of Nokia cells. With an average age of 20, and few preconceived notions about how to bank or shop, this group was ready to work, play, and make simple payments on the Net from th eir native Finland as part of a national trial of wireless devices. Other developments point to an increasingly mobile computing population abroad. In Germany, a recently introduced service called short message service (SMS) already has about 80 million users and became popular quickly, says Ken Dulaney, vice-president of the mobile computing group, Gartner Group, San Jose, Calif. With it, users can send each other short text messages much like e-mail. While not a banking example, he posits such instant success can be had in the U.S., and can be had for just about any application--if it touches on a consumer need. Imagine the possibilties Veev made a splash here, in part, because it was launched despite a challenging telecommunications environment. It was also, arguably, a better designed solution that could eventually accommodate a greater volume of users and multiple device types. In North America, wireless banking is admittedly at its hype stage, where high hopes outweigh the rigors and reality checks associated with more general use. In fact, most banks are still in the throes of giving their customers pc, not cell phone web access. Still, the technology has struck the imagination of more than a few major bankers here, among them Bank of America and Harris Bank (the Chicago-based subsidiary of Bank of Montreal that went live with the service last fall). 724 Solutions and wireless security firm Sonera are also working on a major initiative with Citibank to deliver wireless services as part of an ambitious global program. A host of nonfinancial wireless services are also beginning to crop up in other sectors, according to John Fallen, director of technical marketing development for Baltimore Technologies, which is now working on a wireless security solution that incorporates public key infrastructure (PKI) technology. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,122

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0070,022
Science ouverte0,0020,004
Intégrité de la recherche0,0070,007
Charge utile insuffisante (le modèle a refusé de juger)0,0360,021

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,236
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2000
Routes d'admission1
Résumé présentoui

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