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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? AI in government: How the DoD is embracing new tools and technologies While acknowledging the security concerns surrounding AI, Johnson emphasized that the DoD must find ways to incorporate AI ethically and securely into its operations.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Further, not every business uses AI in the same way or for the same reasons.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces. 7: SIEM will become irrelevant as security teams turn to intelligent threat analysis. Technology prediction No.

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New federal IT modernization research illuminates cloud growth, potential AI adoption challenges

Dynatrace

The adoption of cloud computing in the federal government will accelerate in a meaningful way over the next 12 to 18 months, increasing the importance of cloud monitoring. Modernization priorities lie with advanced analytics and technologies. Being able to safely monitor the cloud will be paramount moving forward.

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Our most critical mission: Adopting AI

Dynatrace

Artificial Intelligence (AI) is a complex, rapidly growing technology. Those individual groups are; Rule-Based Automation, Intelligent Automation, Cognitive Analytics, and Narrow AI. Dynatrace news. How AI is used in the Navy. How to adopt AI quickly and efficiently to keep up in the “AI arms race”.

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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.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

Cloud operations governs cloud computing platforms and their services, applications, and data to implement automation to sustain zero downtime. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations.