AWS Machine Learning

MARCH 3, 2023

We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 Under the hood, SageMaker Canvas uses multiple AutoML technologies to automatically build the best ML models for your data. His knowledge ranges from application architecture to big data, analytics, and machine learning.

Benchmark 76

Benchmark Big data Banking Analytics 76

CSM Magazine

DECEMBER 4, 2023

Furthermore, the integration of digital technologies, including artificial intelligence, blockchain, and big data, augments these ESG capabilities. Leveraging model coefficients, firms can make data-driven decisions, such as prioritizing sustainable investments based on their impact.

Government 105

Government Morale Finance industry standards 105

Verint

JULY 28, 2017

In a recent ETCIO.com article , Firstsource’s Aparajita Gupta, senior vice president, digital support and analytics, describes how using Verint Speech and Text Analytics helped the India-based business process outsourcer analyze huge volumes of data and—importantly for its customers—find root causes to a variety of challenges.

Analytics 28

Analytics Benchmark Business Process Outsourcing outsourcing 28

Customer Interactions

FEBRUARY 14, 2013

When we think about the necessity of security, banking is an industry that immediately comes to mind. For banks, investing in security is simply a part of day-to-day business. Millennium bcp, Portugal’s largest bank,is an excellent example of how an enterprise can enhance its security while also achieving enormous savings.

Banking 33

Banking Big data voip Benchmark 33

AWS Machine Learning

JUNE 24, 2022

Data scientists collaborate with ML engineers in a separate environment to build robust and production-ready algorithms and source code, orchestrated using Amazon SageMaker Pipelines. The generated models are stored and benchmarked in the Amazon SageMaker model registry.

Enterprise 93

Enterprise Engineering Accountability APIs 93