Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization.

Telecommunications 94

Telecommunications Cloud Data Virtualization 94

CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption. There’s a lot of coordination and cleanup of data, workflow, and, with some customers, circuits,” he says.

Telecommunications 275

Telecommunications Network Systems Review Software Review 275

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. Second , telcos must be able to “push out” data processing so it takes place closer to the connected devices that generate telemetry data, reducing data latency and minimizing traffic.

Data 74

Data Compliance Architecture Data Engineering 74

Cloudera

JULY 27, 2021

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Edge analytics by definition require in-network deployment.

Telecommunications 62

Telecommunications Data Architecture Big Data 62

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. Ready to stop blinking and never miss a beat?

Analytics 86

Analytics Machine Learning Artificial Inteligence Telecommunications 86

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

FEBRUARY 25, 2021

To directly address these challenges, we’ve released Applied ML Prototypes (AMPs) — a revolutionary new way of developing and shipping enterprise ML use cases — which provide complete ML projects that can be deployed with one click directly from Cloudera Machine Learning. The work of a machine learning model developer is highly complex.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83