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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. Because with AI at scale – “it’s the data.”.

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5 Data Governance Mistakes to Avoid

Alation

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential.

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5 Data Governance Mistakes to Avoid

Alation

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

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CIOs rise to the ESG reporting challenge

CIO Business Intelligence

As the internal technology provider for parent company Allianz SE with 15,000 employees, the entity employs more than 100 ESG experts who spend several weeks each year heads down collecting and reporting ESG data manually. Digitalization and automation is key to having the data quality we need for CSRD,” says Fridrich. “We

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Why We Started the Data Intelligence Project

Alation

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.