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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast.

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

Dynatrace

Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s 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.

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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. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. That’s where causal AI can help.

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What the NIS2 Directive means for application security

Dynatrace

The Network and Information Systems 2 (NIS2) Directive, which goes into effect in Oct 2024, aims to enhance the security of network and information systems throughout the EU. NIS2 is an evolution of the Network and Information Systems (NIS) Security Directive, which has been in effect since 2016.

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

Dynatrace

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. These challenges will drive organizations to develop digital immune systems that protect their software from the inside by ensuring code resilience by default.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. But energy consumption isn’t limited to training models—their usage contributes significantly more.

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole.