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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

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The capabilities government leaders need as they manage the cloud’s data explosion

Dynatrace

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. Distributed architectures create another challenge for governments and public-sector organizations. A lack of visibility into cloud environments .

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Dynatrace completed Data Privacy Framework self-certification

Dynatrace

In trans-Atlantic and global business relationships, the privacy frameworks and regulations in various regions must be aligned to allow efficient collaboration between enterprises and other involved institutions. To enable participating organizations to meet the EU requirements for transferring personal data to the U.S., DPF, and Swiss-U.S.

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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

Is artificial intelligence (AI) here to steal government employees’ jobs? You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Additionally, as the program gathers more data, it will enable predictive analytics to forecast future talent and skill deficits. Download now!

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DevSecOps: Recent experiences in field of Federal & Government

Dynatrace

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Today, security teams often employ SIEMs for log analytics. The post DevSecOps: Recent experiences in field of Federal & Government appeared first on Dynatrace blog.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Support diverse analytics workloads. What is a data lakehouse? Reduced redundancy.

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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.