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. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.
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. Edge analytics by definition require in-network deployment.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
DECEMBER 17, 2021
One of his favorite projects was with one of the largest telecommunication companies in the world. He explained that they were working to stream several terabytes of data from hundreds of data sources each day and running real time analytics to detect fraud. . He has a lot of passion for the work he does.
Cloudera
NOVEMBER 27, 2017
For example, we were working with a business unit (BU) executive at a large telecommunications device provider. The company was in the very early stages of its big data journey at the time, but the BU had already successfully piloted a use case involving geolocation and device data.
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].
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. .
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.
Expert insights. Personalized for you.
90 
Let's personalize your content