Dynatrace Bolsters its Davis AI Engine with Generative AI to Create Hypermodal AI

Dynatrace, the leader in unified observability and security, is expanding its Davis AI engine to create a hypermodal artificial intelligence (AI), converging fact-based, predictive- and causal-AI insights with new generative-AI capabilities.

According to the company, the expanded Davis AI will boost productivity across business, development, security, and operations teams by delivering generative-AI recommendations fueled by precise context from predictive- and causal-AI techniques that reflect the unique attributes of each organization’s hybrid and multi-cloud ecosystem.

It will also simplify and accelerate tasks, such as creating automations and dashboards, to enable people to focus on higher-value activities for faster, better, and more secure innovation.

According to the company, the power of generative AI can be greatly amplified by converging it with predictive and causal intelligence to create a single, hypermodal AI with each type of AI within it excelling in specific capabilities:

  • Forecasting – using predictive AI models to recommend future actions based on data from the past, including sales and customer experience trends, seasonality, cloud application health, and other historical behaviors.
  • Determining – using causal AI to deliver fact-based, deterministic, and precise answers and intelligent automation based on analyzing dependencies across large sets of observability, security, and business data while retaining an accurate context that reflects each data point’s source.
  • Creating – using generative AI to recommend how to solve specific tasks in the context of the customer’s environment and situation.

Davis predictive-AI models and dynamic machine learning anticipate future behavior based on past data and observed patterns. This capability allows customers to anticipate and remediate future needs and issues related to the performance and security of their software, according to the company.

Davis causal AI analyzes real-time and context-rich observability, security, and business data within the Grail data lakehouse and causal dependencies from Smartscape topology to provide the precise answers and intelligent automation that are necessary for issue prevention, deterministic root-cause analysis, and automated risk remediation.

Davis CoPilot generative AI works with Dynatrace predictive and causal AI to automatically provide recommendations, create suggested workflows and dashboards, or let people use natural language to explore, solve, and complete tasks.

“Generative AI is a transformative technology with seemingly limitless possibilities for delivering productivity gains,” said Bernd Greifeneder, CTO at Dynatrace. “As organizations look to tap into this potential, the key to success is hypermodal AI that combines generative AI with powerful predictive- and causal-AI techniques. This is because only predictive AI can see into the future reliably, only causal AI can deterministically know the root cause of an issue, and only generative AI can tailor recommendations and solutions to specific problems using advanced probabilistic algorithms. With the release of the expanded Davis AI, we address this need and redefine how observability and security solutions work. We expect Davis AI will enable our customers to achieve substantial productivity gains year-over-year as they drive transformation initiatives related to observability and security.”

Davis predictive and causal AI are available now for all customers, while the expansion to include Davis CoPilot will be available later in 2023 and accessible to all customers as a core technology within the Dynatrace platform.

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