The industry’s leading AI to boost productivity across teams with automatic, customer-specific recommendations for business, development, security and operational tasks.
Dynatrace, a leader in unified observability and security, has confirmed the expansion of its Davis AI engine to create the industry’s first hypermodal 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 fuelled by precise context from predictive-and causal-AI techniques that reflect the unique attributes of each organisation’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.
“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,” said 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.”
As AI transforms 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.
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:
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 point’s source.
3. Creating – using generative AI to recommend how to solve specific tasks in the context of the customer’s environment and situation.
“Generative AI is a transformative technology with seemingly limitless possibilities for delivering productivity gains,” said Bernd Greifeneder, CTO, Dynatrace.
“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. 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.”
