AWS Machine Learning

AUGUST 15, 2022

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. We run the get_entities() method on the bank document and obtain the entity list in the results. Then we train a custom entity recognition model.

Banking 98

Banking APIs Accountability Analytics 98

AWS Machine Learning

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. User submits a question When is re:Invent happening this year?,

Engineering 126

Engineering APIs Analytics Enterprise 126

Natalie Petouhof

APRIL 18, 2016

Tweet Capgemini and Efma today released the 2016 World Retail Banking Report (WRBR). The information in this report will help banks to: Assess current levels of customer experience. Retail banks have been eyeing the steady advance of fintech competitors for some time now. Determine the impact of improved customer experience.

Banking 40

Banking Customer Experience APIs Surveys 40

AWS Machine Learning

OCTOBER 29, 2024

AWS CloudTrail is also essential for maintaining security and compliance in your AWS environment by providing a comprehensive log of all API calls and actions taken across your AWS account, enabling you to track changes, monitor user activities, and detect suspicious behavior. Enable CloudWatch cross-account observability.

Government 111

Government Metrics Accountability APIs 111

AWS Machine Learning

FEBRUARY 13, 2024

Their aim is to feed data into a centralized feature store, establishing it as the undisputed reference point. In the context of banking, they might deduce statistical insights from account balances, identifying trends and flow patterns. ML engineers refine these foundational features, tailoring them for mature ML workflows.

Accountability 129

Accountability Government Engineering Scripts 129

AWS Machine Learning

JUNE 24, 2022

This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. In addition to the model endpoint, the CI/CD also tests the triggering infrastructure, such as EventBridge, Lambda functions, or API Gateway. Data lake and MLOps integration.

Enterprise 122

Enterprise Engineering Accountability APIs 122

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. A lack of integration limits real-time insights.

Call Center 52

Call Center Analytics Average Handle Time Big data 52