CIO Business Intelligence

DECEMBER 19, 2023

However, establishing and maintaining such connections can be a complex and costly process, especially as the volume of data being transmitted continues to grow. Similarly, connecting to data lakes presents both privacy and security concerns. Support for future AI development Secretary of State Antony J.

Data Lake 110

Data Lake Management Cost-Benefit Data Processing 110

Cloudera

SEPTEMBER 15, 2021

And that comes down to being able to act on data at the precise time it requires action. The edge is a critical component of many digital transformation implementations, and particularly IoT deployments, for three main reasons — immediacy, fast-changing datasets and scalability. Real-time Demands. Scalability Requirements.

IoT 118

IoT Analytics Internet of Things Data Lake 118

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

JUNE 7, 2023

The NBA’s full-court press on digital technologies has revolutionized the fan, player, and team experience, thanks to accelerated deployment of cloud, analytics, AI, and computer vision technologies since the association launched its digital transformation in 2020.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

BizAcuity

MARCH 1, 2019

At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. IoT, Artificial Intelligence and Healthcare.

IoT 56

IoT Internet of Things Big Data Data-driven 56