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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 212
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Building In-Video Search

The Netflix TechBlog

We have built an internal system that allows someone to perform in-video search across the entire Netflix video catalog, and we’d like to share our experience in building this system. Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements.

Media 225
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Causal AI use cases for modern observability that can transform any business

Dynatrace

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. More generally, causal AI can contribute to explainable and fair AI systems. Software development.

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Embrace enterprise-wide observability and security with Foundation & Discovery

Dynatrace

Today’s multicloud environments consist of hundreds of applications, hundreds of thousands of hosts and containers, and use an ever-increasing number of technologies. Still, a single unmonitored host can become a weak link , causing system failures and security breaches.

Analytics 181
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 230
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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. At the same time, challenges remain as organizations aim to become more automated.