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. Find out more at [link].

Telecommunications 95

Telecommunications Cloud Data Virtualization 95

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. A hybrid data platform breaks down this barrier, integrating ML- and AI-based tools that make it easier to manage, integrate, and analyze data, as well as monitor governance and compliance.

Data 75

Data Compliance Architecture Data Engineering 75

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

FEBRUARY 25, 2021

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. Build an end-to-end extractive question answering system with this AMP that features applications for IR-QA, model exploration, and data visualization. .

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. Source: Allied Market Research.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Telecommunications: predicting equipment failure. Source: Kaggle State of Machine Learning and Data Science Survey. Popular AutoML solutions compared.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52