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Dynatrace (NYSE: DT) has announced significant enhancements to its AI-powered observability platform with new agentic AI capabilities. The platform now features autonomous capabilities designed to predict and prevent disruptions, protect systems, and optimize operations automatically.
The upgraded platform includes key components: Grail (an indexless data lakehouse), Smartscape (real-time topology discovery), Davis AI (combining causal, predictive, and generative AI), and AutomationEngine (for autonomous task execution). These innovations aim to address the challenge where developers typically spend up to 80% of their time on securing, debugging, and optimizing digital systems in production.
Dynatrace (NYSE: DT) ha annunciato importanti miglioramenti alla sua piattaforma di osservabilit脿 potenziata dall'intelligenza artificiale, introducendo nuove funzionalit脿 agentiche di IA. La piattaforma ora offre capacit脿 autonome progettate per prevedere e prevenire interruzioni, proteggere i sistemi e ottimizzare automaticamente le operazioni.
La piattaforma aggiornata include componenti chiave: Grail (un data lakehouse senza indice), Smartscape (scoperta della topologia in tempo reale), Davis AI (che combina IA causale, predittiva e generativa) e AutomationEngine (per l'esecuzione autonoma dei compiti). Queste innovazioni mirano a risolvere il problema per cui gli sviluppatori dedicano tipicamente fino al 80% del loro tempo a garantire la sicurezza, il debug e l'ottimizzazione dei sistemi digitali in produzione.
Dynatrace (NYSE: DT) ha anunciado mejoras significativas en su plataforma de observabilidad impulsada por IA con nuevas capacidades agenticas de IA. La plataforma ahora cuenta con capacidades aut贸nomas dise帽adas para predecir y prevenir interrupciones, proteger sistemas y optimizar operaciones autom谩ticamente.
La plataforma mejorada incluye componentes clave: Grail (un data lakehouse sin 铆ndices), Smartscape (descubrimiento de topolog铆a en tiempo real), Davis AI (que combina IA causal, predictiva y generativa) y AutomationEngine (para la ejecuci贸n aut贸noma de tareas). Estas innovaciones buscan abordar el desaf铆o donde los desarrolladores suelen dedicar hasta un 80% de su tiempo a asegurar, depurar y optimizar sistemas digitales en producci贸n.
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鞐呹犯霠堨澊霌滊悳 頂岆灚韽检潃 欤检殧 甑劚 鞖旍唽搿� Grail (鞚鸽嵄鞀� 鞐嗠姅 雿办澊韯� 霠堨澊韥晿鞖办姢), Smartscape (鞁れ嫓臧� 韱犿彺搿滌 韮愳儔), Davis AI (鞚戈臣, 鞓堨浮, 靸濎劚 AI 瓴绊暕), 攴鸽Μ瓿� AutomationEngine (鞛愳湪 鞛戩梾 鞁ろ枆)鞚� 韽暔頃╇媹雼�. 鞚措煬頃� 順侅嫚鞚� 臧滊皽鞛愲摛鞚� 鞚茧皹鞝侅溂搿� 霐旍韯� 鞁滌姢韰滌潣 氤挫晥, 霐旊矂旯�, 斓滌爜頇旍棎 80%旯岇 鞁滉皠鞚� 頃犾暊頃橂姅 氍胳牅毳� 頃搓舶頃橂姅 雿� 氇╈爜鞚� 鞛堨姷雼堧嫟.
Dynatrace (NYSE : DT) a annonc茅 des am茅liorations majeures de sa plateforme d'observabilit茅 propuls茅e par l'IA, avec de nouvelles capacit茅s d'IA agentique. La plateforme int猫gre d茅sormais des fonctionnalit茅s autonomes con莽ues pour pr茅dire et pr茅venir les interruptions, prot茅ger les syst猫mes et optimiser automatiquement les op茅rations.
La plateforme am茅lior茅e comprend des composants cl茅s : Grail (un data lakehouse sans index), Smartscape (d茅couverte de la topologie en temps r茅el), Davis AI (alliant IA causale, pr茅dictive et g茅n茅rative) et AutomationEngine (pour l'ex茅cution autonome des t芒ches). Ces innovations visent 脿 r茅pondre au d茅fi o霉 les d茅veloppeurs consacrent g茅n茅ralement jusqu'脿 80 % de leur temps 脿 s茅curiser, d茅boguer et optimiser les syst猫mes num茅riques en production.
Dynatrace (NYSE: DT) hat bedeutende Verbesserungen seiner KI-gest眉tzten Observability-Plattform mit neuen agentischen KI-F盲higkeiten angek眉ndigt. Die Plattform verf眉gt nun 眉ber autonome Funktionen, die darauf ausgelegt sind, St枚rungen vorherzusagen und zu verhindern, Systeme zu sch眉tzen und Abl盲ufe automatisch zu optimieren.
Die aktualisierte Plattform umfasst wichtige Komponenten: Grail (ein indexloses Data Lakehouse), Smartscape (Echtzeit-Topologieerkennung), Davis AI (eine Kombination aus kausaler, pr盲diktiver und generativer KI) und AutomationEngine (f眉r autonome Aufgabenausf眉hrung). Diese Innovationen zielen darauf ab, das Problem zu l枚sen, dass Entwickler typischerweise bis zu 80 % ihrer Zeit mit der Sicherung, Fehlerbehebung und Optimierung digitaler Systeme in der Produktion verbringen.
- Introduction of advanced agentic AI capabilities for autonomous system management
- Platform unifies observability, security, and business data in a schema-free data lakehouse
- AG真人官方-time access to petabytes of data without re-indexing inefficiencies
- Integration of causal, predictive, and generative AI techniques for enhanced precision
- Significant complexity in implementation and adoption of new AI systems
- Potential challenges in ensuring AI compliance and responsible practices
Insights
Dynatrace advances its platform with agentic AI capabilities that could transform enterprise software operations and potentially strengthen its market position.
Dynatrace is making a significant technological leap by introducing agentic AI capabilities to its observability platform. This advancement addresses a critical industry challenge: despite increased AI investments, developers still spend up to
The platform's architecture represents a substantial technical achievement, built on four interconnected components:
- A unified data lakehouse that eliminates traditional indexing constraints
- Smartscape topology mapping for real-time dependency tracking
- Davis AI combining multiple AI approaches for more reliable insights
- AutomationEngine for executing autonomous actions
What makes this particularly valuable is the potential to fundamentally shift how enterprises manage digital infrastructure鈥攎oving from reactive human monitoring to preventative, autonomous systems. This addresses the increasing complexity gap where digital environments have outpaced human capacity to manage them effectively.
For enterprise customers struggling with digital transformation initiatives, this technology could significantly reduce operational overhead while improving system reliability. The platform's ability to autonomously predict and prevent disruptions rather than merely detect them represents a meaningful evolution in observability solutions.
This advancement positions Dynatrace at the forefront of the observability market's shift toward autonomous operations, potentially creating competitive differentiation in a space where innovation typically centers around data collection rather than autonomous action.
Building an Observability Platform to Prevent Issues, Optimize Resources, and Adapt Autonomously
Enterprise organizations are significantly increasing investment in AI to enhance productivity, particularly in software development. Despite these efforts, developers still spend up to
鈥淲e anticipated the growing complexity of digital systems outpacing the capabilities of traditional observability solutions reliant on human intervention,鈥� said Bernd Greifeneder, Founder and CTO, Dynatrace. 鈥淭his is why we built the next generation of our platform to help customers leverage advanced AI to offload work and unlock entirely new possibilities. By unifying observability, security, and business data in a revolutionary data lakehouse architecture, we've created the foundation for AI to deliver real-time insights and act autonomously in ways that were unimaginable a few years ago.鈥�
The core of Dynatrace is a purpose-built foundation for agentic AI, seamlessly unifying observability, security, and business data in a schema-free, indexless data lakehouse. This foundation empowers intelligent decision-making and autonomous action, enabling enterprises to transition from human oversite to intelligent, self-operating systems. Together, the platform serves as the knowledge, reasoning, planning, and actioning framework of agentic AI, delivering trustworthy precision and adaptability.
- Grail, an indexless, schema-free data lakehouse, hot/hot by design, provides real-time access to petabytes of data in context, eliminating the inefficiencies of re-indexing and rehydration, to address the complexity and scale of agentic AI systems.
- Smartscape, a dynamic, real-time topology discovery, maps causal dependencies across complex digital ecosystems, enhancing the platform鈥檚 ability to deliver precise insights and automation, fueling Dynatrace AI for fact-based reasoning.
- Davis AI combines causal, predictive, and generative AI techniques to analyze unified data, deliver trustworthy insights, and intelligently plan actions to minimize hallucinations, maximize precision in insights and answers, and adhere to responsible AI practices and compliance requirements.
- AutomationEngine executes autonomous tasks and integrates seamlessly with first-party and third-party AI agents, driving differentiated efficiency and adaptability, all in a safe and privacy-protected manner for controlled agentic AI actions.
Through sustained innovation, Dynatrace provides the intelligence and autonomy developers, business leaders, and organizations need to tackle digital complexity and achieve extraordinary outcomes.
鈥淭hese innovations provide the transparency, automation, and agility enterprises need to stay ahead in a rapidly evolving technology landscape,鈥� Greifeneder added. 鈥淭he result is a platform capable of autonomously preventing potential issues, optimizing resource use, and adapting to unforeseen challenges. Agentic AI represents a fundamental transformation in enterprise technology. Our platform not only delivers insights but actively enables businesses to anticipate challenges, adapt to changing conditions, and achieve their boldest ambitions. This evolution embodies our long-standing vision to empower organizations through trustworthy automation and actionable intelligence.鈥�
About Dynatrace
Dynatrace is advancing observability for today鈥檚 digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit , visit our and follow us on and X .
Dynatrace, Davis, Grail, and Smartscape are trademarks of the Dynatrace, Inc. group of companies.
Cautionary Language Concerning Forward-Looking Statements
This press release includes certain 鈥渇orward-looking statements鈥� within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace鈥檚 capabilities, the company鈥檚 future plans and vision related to AI (notably, agentic AI), and the expected current and future benefits to organizations from using the Dynatrace platform. These forward-looking statements include all statements that are not historical facts and statements identified by words such as 鈥渨ill,鈥� 鈥渆xpects,鈥� 鈥渁nticipates,鈥� 鈥渋ntends,鈥� 鈥減lans,鈥� 鈥渂elieves,鈥� 鈥渟eeks,鈥� 鈥渆stimates,鈥� and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption 鈥淩isk Factors鈥� in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.
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Investor Contact:
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Media Relations:
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Source: Dynatrace
FAQ
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