Lumoa

MAY 16, 2024

How to Improve the Data Science and LLM Development Process Anyone who has worked in data science will recognize this familiar scene: a clever data scientist copies code from a Git repository to a Jupyter notebook , makes some tweaks, and then pastes it back to push it towards production. and “It cannot be happening!”

Engineering 83

Engineering Banking Metrics Big data 83

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 69

Engineering Analytics Government Self service 69

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. 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.

Finance 72

Finance Engineering Big data Banking 72

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 86

Enterprise Engineering Accountability APIs 86

Vistio

OCTOBER 5, 2021

But over time, I moved into banking technology, I rose up the ranks and I ended up running all of the trading technology for a big French bank. And then after that job, I ran European technology for an American bank. I don’t want to get up early and go to the bank every morning.

Chatbots 52

Chatbots Contact Center Banking Technology 52

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