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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? But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. Can embracing AI really make life easier? There is a lot of concern about AI taking jobs away from humans.

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Tech Transforms podcast: Government digital transformation and how agencies can balance innovation and security

Dynatrace

As digital transformation continues to redefine how the government does business, cloud migrations and artificial intelligence (AI) are playing increasingly indispensable roles. Tune in to the full episode for more insights from Ross Nodurft, executive director of the Washington, D.C.-based

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Tech Transforms podcast: The path forward for AI in the government

Dynatrace

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. She is also the DOE’s senior cybersecurity advisor for policy and programs. A further 25% plan to deploy in the next 24 months.” ” 1 Within the U.S.

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Tech Transforms podcast: Navigating complex cloud environments and improving efficiency

Dynatrace

UK Home Office: Metrics meets service The UK Home Office is the lead government department for many essential, large-scale programs. When the UK Home Office first shut down these programs, the artificial intelligence-based tools had to adapt to the environment disappearing overnight.

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How to fine tune failure detection

Dynatrace

Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. How to fine-tune failure detection. Many years ago, C programs were very common and most of them relied on return codes to highlight problems. This means that all the real failures (i.e.

Tuning 115
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What is IT automation?

Dynatrace

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. Monitoring automation is ongoing.

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AI Has an Uber Problem

O'Reilly

In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. They can fine-tune these smaller models for specific problem domains, allowing trusted content providers (like my own company’s O’Reilly Answers and related AI-generated services) to profit from our own expertise.