CIO Business Intelligence

APRIL 27, 2022

These new advertiser challenges caused the company to develop AI models to find creators and influencers who provide more authentic, natural and non-disruptive brand-to-customer interactions. Initially, BEN Group’s data science teams used cloud computing to develop and experiment with their AI models.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 59

Deep Learning Machine Learning Unstructured Data Modeling 59

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! In the past, data scientists had to rely on powerful computers to manage large volumes of data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Ontotext

MAY 22, 2023

Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data. We use other deep learning techniques for such tasks. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Domino Data Lab

AUGUST 10, 2021

PyTorch: used for deep learning models, like natural language processing and computer vision. It’s used for developing deep learning models. Horovod: is a distributed deep learning training framework that can be used with PyTorch, TensorFlow, Keras, and other tools.

Modeling 64

Modeling IT Risk Management Deep Learning 64

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Ontotext

FEBRUARY 26, 2024

It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Domino Data Lab

JULY 2, 2019

Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105