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Verizon accelerates 5G rollouts with automation platform

CIO

“There’s a lot of coordination and cleanup of data, workflow, and, with some customers, circuits,” he says. Business wise, Network Alpha Factory has thus far been a win-win for the telecommunications giant and its customers, Singh says. Private 5G, Robotic Process Automation, Telecommunications, Telecommunications Industry

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Driving Standards & Collaboration in Telco with Data & AI

Cloudera

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.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

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.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. The project launches an interactive visualization for exploring the quality of representations extracted using multiple model architectures.

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Telecommunications and the Hybrid Data Cloud

Cloudera

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. Find out more at [link].

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

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.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

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.