Dynatrace to expand Davis to deliver hypermodal AI
Dynatrace has announced it is expanding its Davis AI engine to create what it says is the industry's first hypermodal artificial intelligence (AI), converging fact-based, predictive- and causal-AI insights with new generative-AI capabilities.
Dynatrace says the expanded Davis AI will boost productivity across business, development, security, and operations teams by delivering generative-AI recommendations fuelled by precise context from predictive- and causal-AI techniques that reflect the unique attributes of each organisations 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.
"Artificial intelligence is transforming business. Generative AI has the potential to boost productivity across all functions. As it is probabilistic by nature, its value depends on the quality of its training data and user prompts," Dynatrace says.
"Because of this, 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."
These capabilities include:
1. 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 behaviours.
2. Determining using causal AI to deliver fact-based, deterministic, and precise answers and intelligent automation based on analysing dependencies across large sets of observability, security, and business data while retaining an accurate context that reflects each data points source.
3. Creating using generative AI to recommend how to solve specific tasks in the context of the customers environment and situation.
Dynatrace Davis AI uniquely provides these capabilities.
Davis predictive-AI models and dynamic machine learning anticipate future behaviour 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 analyses 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 already proving to be useful in broadening the accessibility of operations insights to new personas and speeding workflows for users of observability solutions," says Nancy Gohring, IDC Research Director for Enterprise System Management, Observability and AIOps.
"However, when combined with other forms of AI, generative AI has the potential for additional notable impact. For instance, leveraging other forms of AI to feed generative AI with more than just user inputs can deliver more value for customers and help maximise the value of generative AI for business, development, security, and operations use cases."
Bernd Greifeneder, CTO at Dynatrace, says generative AI is a transformative technology with seemingly limitless possibilities for delivering productivity gains.
"As organisations look to tap into this potential, the key to success is hypermodal AI that combines generative AI with powerful predictive- and causal-AI techniques," he says.
"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."
