article thumbnail

How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

article thumbnail

Modern Data Architecture for Telecommunications

Cloudera

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Edge computing data processing Edge computing is becoming increasingly prevalent, especially in industries such as manufacturing, healthcare and IoT.

article thumbnail

How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

article thumbnail

Porsche Carrera Cup Brasil gets real-time data boost

CIO Business Intelligence

Together, they established a core architecture that the company could build on to develop its engineering capabilities and, eventually, support for entertainment and broadcasting, which remains on Morrone’s roadmap. One of the first things they needed was an IoT device that could be plugged into the cars to gather and transmit the data.

article thumbnail

National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 95
article thumbnail

Embedding AI Into Every Aspect of Your Business

Cloudera

robots), AR/VR in manufacturing (quality), power grid management, automated retail, IoT, Intelligent call centers – all powered by AI – the list of potential use cases is virtually endless. . Build your data strategy around relevant data, not last years data because it’s easy to access.