Dynatrace gives companies visibility into their generative AI efforts

Dynatrace is now expanding the capabilities for enterprises to gain deeper insights into their generative AI applications. With improved visibility and observability, organizations can optimize reliability, performance, security, and compliance – while gaining a clearer picture of both AI investments and returns.

Large investments in AI require better transparency

According to IDC global investments in are expected to AI technology exceed $749 billion to 2028. Maximizing the business value of AI requires not only investment in the technology but also the ability to monitor and control its use in a safe and effective manner.

The importance of overview and control

Johan Dahlin, Nordic Head at Dynatrace, emphasizes the importance of overview and observability for Swedish companies:

– Many companies are investing heavily in AI but have limited insight into how the technology is actually being used. How are the solutions they have invested in being used, what value are they delivering, what remains untapped, and are they complying with laws and regulations? How does AI fit into the company's security efforts? With a clear overview, organizations can get answers and ensure that AI projects live up to expectations.

Advanced features for improved observability

Dynatrace improves observability through a range of advanced features, including:

• Improved analysis of large language models (LLM) – Tracks key KPIs and uses predictive AI to anticipate cost changes linked to AI usage.
• Protection for AI input and AI output – Identifies hallucinations, prevents data leaks, and detects malicious prompt attacks.
• Multi-model tracking – Maps dependencies between multiple AI models and RAG pipelines for a comprehensive overview of AI system.
• Responsible AI integration – Creates a verifiable history of all AI transactions and provides real-time analytics with Dynatrace Grail.

AI observability is the key to success

“More and more customers are now using AI applications in their business. And AI observability is key to ROI, security, and understanding model performance. Our platform delivers AI-driven insights in real time, giving companies full control over their AI investments,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace.

AI models must be reliable and cost-effective

Stephen Elliot, Group VP at IDC, emphasizes that AI observability is crucial to creating reliable and cost-effective AI solutions:

– Companies need to be able to track their AI models in real time, identify anomalies and ensure they are delivering real business value.