Tenfold - Contact Center Blog
JUNE 22, 2018
They have no attachment to legacy systems that banks and finance companies have been holding onto for years, despite the wave of new technologies in business and communications. A 2017 report by Accenture indicated that 71% of financial services consumers are open to using “entirely computer-generated support for banking services.”
AWS Machine Learning
OCTOBER 26, 2023
Achieving this performance was easy with the built-in tools and APIs from the Neuron SDK. We used the torch.neuron.DataParallel() API. This Python function implements data parallelism at the module level on models created by the PyTorch Neuron API.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Fonolo
OCTOBER 4, 2017
We’ll definitely be writing more about that. Banking giant ING recently switched from an Avaya call center to a system built internally using Twilio APIs. Oracle is entering the game with “ Customer Engagement Cloud ”. Talkdesk is making strong gains. Wink wink.). See Five9 Preps for Digital Era. More Reading.
AWS Machine Learning
JULY 29, 2022
Typically, large financial services organizations have multiple LoBs, such as consumer banking, investment banking, and asset management, and also one or more analytics and ML CoE teams. Allow the consumer banking LoB to share data products into the central governance layer. Consumer banking LoB (data producer).
Nexmo
JULY 18, 2019
Their mobile application and website are pretty good, but when I saw that YNAB had recently launched an API it made me think about other ways to access the data in my budget. You’ve been able to call your bank to check the balance on your account for years, but that’s not useful for me. project with express and express-ws.
CSM Magazine
OCTOBER 10, 2023
Understanding Custom Payment Solutions When it comes to payment processing, one size definitely doesn’t fit all. Providing choices like direct bank transfers, cards, and digital wallets reduces abandoned carts and lifts sales. Every business has its own unique needs and requirements.
AWS Machine Learning
JULY 29, 2022
The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. In this example, we use a SageMaker processing job, in which we define an Athena dataset definition. Part 1: Data mesh set up and data product registration.
Expert insights. Personalized for you.
64 
Let's personalize your content