Remove Data Architecture Remove Data Strategy Remove Digital Transformation Remove Optimization
article thumbnail

Modern Data Architecture for Telecommunications

Cloudera

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges? Why telco should consider modern data architecture.

article thumbnail

Are Data Silos Undermining Digital Transformation?

BI-Survey

Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate. Data silos prevent digital transformation. Data Black Holes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks.

article thumbnail

Public or On-Prem? Telco giants are optimizing the network with the Hybrid Cloud

Cloudera

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

article thumbnail

Achieving Trusted AI in Manufacturing

Cloudera

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

article thumbnail

A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?