CIO Business Intelligence

JULY 20, 2022

Knowledge and adoption of big data, cloud transformation, internet of things (IoT), augmented reality, and robotics are necessary to remain agile. Successful digital transformation should start with your top business objectives and being inclusive of all stakeholder viewpoints,” he says.

Digital Transformation 98

Digital Transformation Internet of Things IoT Business Objectives 98

Rocket-Powered Data Science

JUNE 17, 2022

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. log analytics and anomaly detection) across distributed data sources and diverse enterprise IT infrastructure resources.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. It also benefits from advanced asset management software, like IBM Maximo.

Cost-Benefit 59

Cost-Benefit IoT Internet of Things Enterprise 59

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric?

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

AWS Big Data

MAY 3, 2023

This system involves the collection, processing, storage, and analysis of Internet of Things (IoT) streaming data from various vehicle devices, as well as historical operational data such as location, speed, fuel level, and component status. Younggu Yun works at AWS Data Lab in Korea.

IoT 105

IoT Internet of Things Data Transformation Management 105

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities.

Software 72

Software Manufacturing Cost-Benefit ROI 72