Dynatrace, a provider of software intelligence solutions, has introduced generative AI capabilities to its Davis AI engine for enhanced performance management. By incorporating generative AI into its existing predictive and causal AI capabilities, Dynatrace aims to simplify and expedite performance management tasks for its customers.
The Davis AI engine combines various AI capabilities to streamline performance management. With the addition of generative AI, the engine leverages natural language capabilities to facilitate the creation of dashboards, automate workflows, and complete tasks. Davis CoPilot generative AI works in collaboration with causal AI technology, which analyzes real-time data, and predictive AI models that anticipate future behavior based on past data and observed patterns.
Alois Reitbauer, Chief Technology Strategist at Dynatrace, explains that their platform looks at billions of system dependencies to gain a comprehensive understanding of the environment. By utilizing generative AI, this information can be fed into a large language model (LLM), which then generates recommendations that are routed to the appropriate teams. Reitbauer notes that generative AI makes the product more accessible to a wider audience, enabling the creation of custom workflows without the need for coding.
The combination of these AI technologies enables IT teams to quickly identify trends in behavior and predict potential performance issues that could impact end-user experiences with applications. Gregg Siegfried, Vice President and Research Analyst at Gartner, highlights the significance of generative AI in improving human-machine interactions. With the ability to parse language and deliver educated responses, generative AI enhances IT operators’ understanding of software behavior and allows them to resolve performance issues more effectively.
Dynatrace’s Davis platform competes with observability products from companies such as New Relic, Riverbed, and Splunk. Many monitoring and observability vendors are exploring the integration of generative AI into their platforms, as it offers numerous benefits for customers. The incorporation of generative AI is expected to be a gradual process, with upgrades to existing tools and technologies being the primary method of adoption.
Dynatrace’s Davis AI platform is available in both on-premises and software-as-a-service (SaaS) models. The enhanced Davis AI engine, featuring generative AI capabilities, is set to be released to customers in 2023 as a core technology within the Dynatrace platform.
In summary, Dynatrace’s integration of generative AI into its Davis AI engine aims to provide customers with a third mode of AI for faster and more efficient performance management. Through the collaboration of generative, causal, and predictive AI capabilities, IT teams can benefit from enhanced insights, simplified workflows, and improved application performance monitoring. The adoption of generative AI in the observability market is expected to grow gradually, with organizations incorporating it into existing tools to better meet their performance management needs.
