The article also highlights the role of Dynatrace AI Observability in helping companies comply with privacy and security regulations by tracing the origins of the output created by their apps. It also helps control costs by monitoring the consumption of 'tokens', which are the basic units that generative AI models use to process queries. The article concludes by emphasizing the growing need for AI observability tools as users become more analytically inquisitive about the technology they use.
Key takeaways:
- Dynatrace, a unified observability and security company, is developing analytics tools and services to observe and understand AI functions, including their provenance, state, behavior, and decision-making validity.
- Dynatrace has enhanced its platform to provide a specific view across generative AI and Large Language Models, aiming to help organizations embrace AI confidently and securely.
- Dynatrace AI Observability covers the end-to-end AI stack, including infrastructure, foundational models, semantic caches, vector databases, and orchestration frameworks.
- The company's AI engine, Davis AI, helps companies comply with privacy and security regulations and governance standards by tracing the origins of the output created by their apps with precision, and also helps forecast and control costs by monitoring the consumption of ‘tokens’, which are the basic units that generative AI models use to process queries.