Smart Data Collective

DECEMBER 1, 2022

Edge computing is processing data at the edge of a network, or on the device itself rather than in a centralized location. The growth in edge computing is mainly due to the increasing popularity of Internet of Things (IoT) devices. Managing all that data from one centralized area is challenging with so many connected devices.

Big Data 141

Big Data Internet of Things Data-driven IoT 141

Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

O'Reilly on Data

SEPTEMBER 11, 2019

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20