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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. Such ambiguity means agencies will have the autonomy to make individual decisions about AI development and implementation.

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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. From development tools to collaboration, alerting, and monitoring tools, Dimitris explains how he manages to create a successful—and cost-efficient—environment.

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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. Automatic failure detection works well in most cases especially for web services and when developers follow good coding practices. How to fine-tune failure detection. Advanced error detection.

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What is IT automation?

Dynatrace

Developing automation takes time. 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. Read eBook now!

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The developer uploads the function and configuration for how to run the function to the cloud. Developers stay focused on developing technologies rather than the underpinnings of applications.

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AI Has an Uber Problem

O'Reilly

They used their funding to do serious research and development, to build factories, cars, batteries, rockets and satellites. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. Tesla and SpaceX are good examples. This has led to lawsuits and settlements.