Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Manufacturers now have unprecedented capacity to collect, utilize, and manage massive amounts of data. That is a very low number.

Manufacturing 81

Manufacturing Contextual Data IoT Digital Transformation 81

Cloudera

SEPTEMBER 8, 2022

With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. . for machine learning), and other enterprise policies.

Data Governance 79

Data Governance B2B Data Architecture IoT 79

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. Once again, thank you to the global team of 25 judges who selected the Data Impact Award finalists: Tony Baer , Principal Analyst, Ovum, @TonyBaer. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz.

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 106

Data Architecture Data Integration IoT Strategy 106

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The export process on the source account is a scheduled job.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

IBM Big Data Hub

JANUARY 18, 2023

The data nodes are spread across the enterprise’s hybrid and multicloud computing ecosystem. A data fabric can consist of multiple data warehouses, data lakes, IoT/Edge devices and transactional databases. Data discoverability. Data fabric promotes data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Streaming, IoT, and time series mature.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20