features 
AWS Machine Learning
FEBRUARY 13, 2024
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. Features are used repeatedly by multiple teams, and feature quality is critical to ensure a highly accurate model.
AWS Machine Learning
JANUARY 17, 2023
Customer churn is a problem faced by a wide range of companies, from telecommunications to banking, where customers are typically lost to competitors. This post aims to build a model that can process and relate information from multiple modalities such as tabular and textual features.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Hodusoft
APRIL 17, 2024
Auto attendant, also known as Interactive Voice Responder (IVR) system is an advanced business phone system feature that automates and simplifies the incoming call process and routes the callers to the most appropriate agent or department. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record?
AWS Machine Learning
MARCH 21, 2023
It contains over 300 built-in data transformation steps to aid with feature engineering, normalization, and cleansing to transform your data without having to write any code. For this post, we use the bank-full.csv data from the University of California Irving Machine Learning Repository to demonstrate these functionalities.
ShepHyken
JUNE 28, 2019
This week we feature an article by Chris Connolly that discusses h ow assistive AI blends with human-only qualities to create a new category of “superagents.”. Yet bank employees did not disappear with the advent of the ATM. Accountants today couldn’t imagine performing their job without some form of calculator.
AWS Machine Learning
JULY 29, 2022
In part 1 , we addressed the data steward persona and showcased a data mesh setup with multiple AWS data producer and consumer accounts. 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. Data exploration.
Integrity Solutions
APRIL 19, 2024
Put another way, personalization is the opposite of operating from scripts and responding with cookie-cutter answers. There’s no value for them in listening to salesperson recite scripted features and benefits — they’ve already read all of that on the website or in other marketing materials.
Expert insights. Personalized for you.
98 
Let's personalize your content