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Dynatrace Expands Davis AI Engine

Dynatrace is expanding its Davis® AI engine to create 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.

Dynatrace Davis AI provides these 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.

“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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Dynatrace Expands Davis AI Engine

Dynatrace is expanding its Davis® AI engine to create 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.

Dynatrace Davis AI provides these 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.

“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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...