Observability

The AI & Big Data Expo highlighted AI’s evolution into autonomous “agentic” systems capable of reasoning and independent task execution, moving beyond simple automation. Successful deployment hinges on robust data quality, particularly addressing LLM hallucinations with methods like eRAG. Physical safety and software observability are crucial for embodied AI. Overcoming adoption barriers requires human-centered strategies, trust-building, and strategic decisions on build vs. buy. Ultimately, a strong data foundation and infrastructure are key to realizing AI’s potential as a digital colleague.

Dynatrace has launched next-generation Real User Monitoring (RUM) to enhance observability for complex, AI-driven applications. The updated platform unifies front-end and back-end data, offering advanced analytics and developer-centric troubleshooting tools. Key innovations include unified data querying for deeper insights, guided workflows for faster issue resolution, and behavioral analysis for modern app interactions. Extended data retention is also now available, aiming to improve user experience and drive business outcomes.