Posted inEmergent Tech

Dynatrace creates industry’s first hypermodal AI

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

Dynatrace is expanding its Davis AI engine to create the industry’s first hypermodal artificial intelligence (AI), converging fact-based, predictive- and causal-AI insights with new generative-AI capabilities.

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 multicloud 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.

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.

Dynatrace Davis AI capabilities

  • 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.
  • 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.