Enghouse Interactive

JULY 10, 2018

In the hustling world we live in, the sense of community is exciting in the world of banking. Instead of having to toggle back and forth between different screens and applications, agents proactively receive relevant and useful data on callers via ScreenPop. On top of that, how can credit unions guarantee expansion and member loyalty?

Self service 40

Self service CRM Contact Center Analytics 40

IdeasUnlimited

JUNE 27, 2023

The idea of using big data to program software is not new. With built-in support for crypto-wallets, goods and services can be exchanged without having to go through banks. However, engineers have run into a problem. Quantum computers are, however, much better at sifting through big data or charting simulations.

Technology 52

Technology Big data Entertainment Engineering 52

AWS Machine Learning

JUNE 24, 2022

To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and interact; how to separate the concerns, responsibilities, and skills; and how to use AWS services optimally.

Enterprise 94

Enterprise Engineering Accountability APIs 94

Tethr

DECEMBER 7, 2020

Today, we have the ability to use AI and big data analytics to listen and understand at scale—effectively delivering the benefit that a team of business analysts would, but without the cost or time required to do the work manually. Technology has come a long way since 2013 when CEB published the book.

Coaching 72

Coaching Banking Customer effort Wireless 72

AWS Machine Learning

NOVEMBER 14, 2022

Data Wrangler’s refit trained parameter feature is useful in the following cases: New data is added to the dataset – Retraining the ML model is necessary when the dataset is enriched with new data. You can apply this option to vectorizing text features, numerical data, and handling outliers. About the authors.

Engineering 63

Engineering Big data Banking Sales 63

Tethr

MAY 22, 2019

Today, we have the ability to use AI and big data analytics to listen and understand at scale—effectively delivering the benefit that a team of business analysts would deliver, but without the cost or time required to do the work manually. Technology has come a long way since 2013 when CEB published the book.

Wireless 67

Wireless Coaching Banking Accountability 67

AWS Machine Learning

JANUARY 26, 2023

The Best Egg data science team uses Amazon SageMaker Studio for building and running Jupyter notebooks. SageMaker processing jobs run feature engineering pipelines on the input dataset to generate features. He leads the science and engineering team owning the service for automatic model tuning across Amazon SageMaker.

Finance 74

Finance Engineering Big data Banking 74

AWS Machine Learning

DECEMBER 6, 2023

Given their versatile nature, these models require specific task instructions provided through input text, a practice referred to as prompt engineering. The following are some tips when engineering prompts for summarization: Include the text to summarize – Input the text that needs to be summarized.

Engineering 100

Engineering Healthcare Finance Big data 100