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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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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

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What is IT automation?

Dynatrace

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. IT automation tools can achieve enterprise-wide efficiency. Big data automation tools.

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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

To bring higher-quality information to Well-Architected Reviews and to establish a strategic advanced observability solution to support the Well-Architected Framework 5-pillars, Dynatrace offers a fully automated, software intelligence platform powered by Artificial Intelligence. Stay tuned. AWS 5-pillars.

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Best Practices in Cloud Security Monitoring

Scalegrid

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. (We’ll say more about this later.) We’ve never seen adoption proceed so quickly.