AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes.

Forecasting 76

Forecasting Management IoT Data-driven 76

CIO Business Intelligence

FEBRUARY 12, 2024

Trasformazione digitale: la data platform e il digital twin AMA è tra le organizzazioni che stando imprimendo un forte slancio alla loro digitalizzazione. Roero ha in mente anche l’introduzione dell’intelligenza artificiale per rendere più fluidi e controllati i processi e rendere l’azienda data-driven.

Digital Transformation 85

Digital Transformation Management Business Intelligence Internet of Things 85

CIO Business Intelligence

JUNE 30, 2022

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 80

IoT Forecasting Internet of Things Machine Learning 80

CIO Business Intelligence

JULY 5, 2022

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 80

IoT Forecasting Internet of Things Machine Learning 80

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Sisense

JULY 23, 2021

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games. At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105