CIO Business Intelligence
MAY 20, 2022
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.
Sisense
AUGUST 28, 2020
Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.
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Ontotext
DECEMBER 1, 2023
Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.
Cloudera
SEPTEMBER 6, 2022
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.
Cloudera
OCTOBER 1, 2022
Adam Wood, director of data governance and data quality at a financial services institution (FSI). Sam Charrington, founder and host of the TWIML AI Podcast. For example, the concept of nationalism in data regulation means that countries might craft a different set of rules based on where data originates.
CIO Business Intelligence
JANUARY 30, 2024
“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. There are several things you need to report attached to that number.”
Cloudera
SEPTEMBER 7, 2023
The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.
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