TDAN

OCTOBER 5, 2022

One of the technologies that is expected to grow is the Internet of Things (IoT). The current decade will see the most rapid technological advancements in history: emergence of new technology and faster development of existing technology.

IoT 52

IoT Internet of Things Statistics Technology 52

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)

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Internet of Things IoT Machine Learning Data Processing 98

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 105

IT Digital Transformation Internet of Things Data Architecture 105

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. David Stodder , Senior Director, Research for Business Intelligence, TDWI. .” – Cornelia Levy-Bencheton. Every year, the caliber of submissions goes up many notches. Manjeet Rege , Ph.D.,

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

TDAN

JULY 2, 2019

Before the end of the decade, the number of connected objects is projected to expand greatly. According to several different analysts, the number of connected objects by 2020 could be as low as 26 billion or as high as 50 billion. But even the low end of that range is quite large. Indeed, connectedness is […].

Internet of Things 74

Internet of Things Data Architecture IoT Data Strategy 74

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. The evolution of data engineering reflects this. New trends in data architecture and data services.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20