Latest news with #DavisAI
Channel Post MEA
21-05-2025
- Business
- Channel Post MEA
Dynatrace Integrates AI And LLM Observability Platform With NVIDIA Enterprise AI Factory
Dynatrace has announced that it is integrating its full-stack, AI and LLM Observability solution into the newly unveiled NVIDIA Enterprise AI Factory validated design. This enables enterprises using NVIDIA's validated design for NVIDIA RTX PRO servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform. Uniquely equipped with a powerful AI engine, Davis AI — which delivers real-time automated anomaly detection and root cause analysis alongside recommended remediation actions powered by Davis CoPilot — the Dynatrace platform is an ideal solution for monitoring and managing AI and agentic AI deployments. Enterprises deploying the NVIDIA Enterprise AI Factory validated design will be able to leverage Dynatrace's AI-powered observability platform to a utomatically detect customer-facing issues using topology, transaction, and code-level information to precisely pinpoint the root cause of problems at speed, helping IT teams maintain performance, reliability, and security across AI workflows. The NVIDIA Enterprise AI Factory full-stack validated design offers guidance for enterprises to build and deploy their own on-premises AI factory. It's designed to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis. It features expertly designed NVIDIA Blackwell accelerated infrastructure tailored to enterprise needs, integrating specialized AI software to ensure seamless operation and robust performance. And it's validated by NVIDIA IT, tapping into their engineering know-how and partner ecosystem to help enterprises achieve time-to-value and mitigate the risks of AI deployment. This integration addresses increasing demand for on-premises AI infrastructure in regulated sectors such as healthcare, finance, and government, and where system reliability and compliance are paramount. By incorporating Dynatrace into NVIDIA Enterprise AI Factory validated design, customers using NVIDIA Blackwell systems can benefit from real-time, AI-powered data insights for the seamless operationalization of AI workflows. 'Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale,' said Alois Reitbauer, Chief Technology Strategist at Dynatrace. 'Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organizations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analyzing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimize their AI deployments.' 'As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure,' said John Fanelli, vice president, Enterprise Software at NVIDIA. 'Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one.' 0 0
Techday NZ
19-05-2025
- Business
- Techday NZ
Dynatrace partners with NVIDIA to boost enterprise AI observability
Dynatrace has entered a partnership with NVIDIA to integrate its full-stack AI and large language model (LLM) observability solution into the NVIDIA Enterprise AI Factory validated design, which has been recently unveiled. The NVIDIA Enterprise AI Factory validated design aims to provide enterprises with guidance to build and deploy on-premises AI infrastructure, supported by real-time observability and AI-driven insights through the Dynatrace platform. The integration is intended to meet the rising demand for on-premises AI in sectors where regulatory compliance and system reliability are critical, such as healthcare, finance, and government. By incorporating Dynatrace's observability capabilities, organisations deploying NVIDIA Blackwell systems will have access to real-time, AI-driven operational insights. This is designed to facilitate the deployment, monitoring, and management of AI workflows within enterprise environments. The Dynatrace platform includes Davis AI, an AI engine that delivers automated anomaly detection, root cause analysis, and remediation recommendations using Davis CoPilot. The platform is designed to monitor and manage AI deployments, assisting IT teams in detecting issues at various levels, spanning topology, transactions, and code. According to Dynatrace, this capability enables organisations to proactively identify and resolve issues, which is key in maintaining system performance, security, and reliability as AI becomes increasingly integrated into business operations. The NVIDIA Enterprise AI Factory validated design is engineered to support a range of use cases, including AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time analytics. It features NVIDIA Blackwell accelerated infrastructure and incorporates specialist AI software to provide robust performance that meets enterprise requirements. The validated design also draws on NVIDIA's engineering expertise and partner ecosystem, aiming to help enterprises reduce risks associated with AI deployment and accelerate time-to-value for new AI initiatives. Dynatrace stated that the joint solution addresses the particular needs of industries where oversight and compliance are paramount. The two companies anticipate increased adoption of on-premises AI factories in these sectors as digital transformation and regulatory requirements converge. Alois Reitbauer, Chief Technology Strategist at Dynatrace, said: "Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale. Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organisations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analysing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimise their AI deployments." John Fanelli, Vice President, Enterprise Software at NVIDIA, commented: "As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure. Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one." The collaboration is positioned to provide enterprises with tools for precise optimisation and governance of their AI investments, particularly as organisational use of AI expands in complexity and scope.
Yahoo
19-05-2025
- Business
- Yahoo
Dynatrace Collaborates with NVIDIA to Deliver AI and LLM Observability for Enterprise AI Factory Deployments
Dynatrace to provide full-stack observability for NVIDIA Blackwell reference design unveiled at Computex 2025 WALTHAM, Mass., May 19, 2025--(BUSINESS WIRE)--Dynatrace®, the leading AI-powered observability platform, today announced that it is integrating its full-stack, AI and LLM Observability solution into the newly unveiled NVIDIA Enterprise AI Factory validated design. This enables enterprises using NVIDIA's validated design for NVIDIA RTX PRO 6000 Blackwell servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform. Uniquely equipped with a powerful AI engine, Davis® AI — which delivers real-time automated anomaly detection and root cause analysis alongside recommended remediation actions powered by Davis CoPilot® — the Dynatrace platform is an ideal solution for monitoring and managing AI and agentic AI deployments. Enterprises deploying the NVIDIA Enterprise AI Factory validated design will be able to leverage Dynatrace's AI-powered observability platform to automatically detect customer-facing issues using topology, transaction, and code-level information to precisely pinpoint the root cause of problems at speed, helping IT teams maintain performance, reliability and security across AI workflows. The NVIDIA Enterprise AI Factory full-stack validated design offers guidance for enterprises to build and deploy their own on-premises AI factory. It's designed to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis. It features expertly designed NVIDIA Blackwell accelerated infrastructure tailored to enterprise needs, integrating specialized AI software to ensure seamless operation and robust performance. And it's validated by NVIDIA IT, tapping into their engineering know-how and partner ecosystem to help enterprises achieve time-to-value and mitigate the risks of AI deployment. This integration addresses increasing demand for on-premises AI infrastructure in regulated sectors such as healthcare, finance, and government and where system reliability and compliance are paramount. By incorporating Dynatrace into NVIDIA Enterprise AI Factory validated design, customers using NVIDIA Blackwell systems can benefit from real-time, AI-powered data insights for the seamless operationalization of AI workflows. "Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale," said Alois Reitbauer, Chief Technology Strategist at Dynatrace. "Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organizations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analyzing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimize their AI deployments." "As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure," said John Fanelli, vice president, Enterprise Software at NVIDIA. "Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one." About Dynatrace Dynatrace is advancing observability for today's 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 blog and follow us on LinkedIn and X @dynatrace. Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial. ©2025 Dynatrace LLC. Dynatrace, Davis, Davis CoPilot, and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. Cautionary Language Concerning Forward-Looking Statements This press release includes certain "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace's and NVIDIA's respective capabilities and the expected benefits to organizations from the collaboration between Dynatrace and NVIDIA, and from using Dynatrace and NVIDIA. These forward-looking statements include all statements that are not historical facts and statements identified by words such as "will," "expects," "anticipates," "intends," "plans," "believes," "seeks," "estimates," 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 "Risk Factors" 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. View source version on Contacts Investor Contact:Noelle FarisVP, Investor Relations:Dynatrace PR Teampr-team@ Sign in to access your portfolio
Channel Post MEA
12-04-2025
- Business
- Channel Post MEA
Dynatrace Unveils New Platform Innovations
Dynatrace has announced early access for joint Google Cloud customers to its most recent platform innovations. These innovations are powered by the Dynatrace Grail data lakehouse that retains context across all data types – including logs, metrics, traces, events, and more – to provide customers with precise, actionable answers. As organizations embrace cloud-native environments to drive innovation and digital transformation, they must manage volumes of data at an unprecedented scale. Traditional tools struggle to provide real-time insights across these vast and complex data stores, leading to inefficiencies and siloed operations. Dynatrace Grail was developed to address these challenges by transforming complexity into an asset, enabling organizations to extract real-time, actionable intelligence from their data. It brings together observability, security, and business data, allowing businesses to swiftly derive insights, boost operational performance and stay ahead in Google Cloud environments. With real-time data processing and advanced automation, Grail also helps organizations improve efficiencies to make smarter, data-driven decisions that directly contribute to business growth and competitive advantage. Other key benefits include: AI-Driven Precision: The combination of Davis AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. The combination of Davis AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. Scalable Data Processing: Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Seamless Integration with Google Cloud: Organizations can unify and analyze data within their existing cloud ecosystems, enhancing performance and security. Organizations can unify and analyze data within their existing cloud ecosystems, enhancing performance and security. Easy Access to Dynatrace Data for Developers: With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. Observability for End-to-End Multimodal AI Models: Users can track and monitor the consumption, cost, and performance of AI services and models provided by Google's Gemini models – a family of multimodal AI models designed to understand and generate text, images, audio, videos, and code – at scale. Learning from Industry Analysts 'The winners in the digital-first world are those who get their 'data house' in order. This requires harnessing large amounts of data, scalable processing and performance, and AI to infer new insights unattainable without such a solution,' said Mitch Ashley, VP and Practice Lead, DevOps and Application Development at The Futurum Group. 'Expanding Dynatrace observability and security, along with the power of Grail and Davis® AI, to Google Cloud customers brings a solid platform to tackle these challenges.' The Google Cloud Vision 'AI-powered observability has the power to transform how organizations manage their cloud-native environments,' said Ritika Suri, Managing Director of AI & Data ISV Partnerships at Google Cloud. 'Solutions like Dynatrace Grail, integrated with Google Cloud's leading AI and infrastructure, enable customers to streamline operations, enhance efficiency, and confidently drive innovation.' The Dynatrace Vision 'Grail has been a game changer for Dynatrace, setting us apart by delivering real-time insights at an unprecedented scale,' said Jay Snyder, SVP of Partners and Alliances, Dynatrace. 'By combining the capabilities of Grail with the flexibility and power of Google Cloud, Dynatrace empowers customers to innovate faster, operate more efficiently, and achieve their digital transformation goals with confidence.' The early access program presents a unique opportunity for Google Cloud customers to adopt next-generation observability technology, positioning them at the forefront of cloud-native transformation. Through this integration, enterprises can modernize operations, improve system reliability, and unlock new opportunities for growth and efficiency. Dynatrace expects the Grail data lakehouse on Google Cloud to be generally available by June 30. 0 0
Channel Post MEA
06-03-2025
- Business
- Channel Post MEA
Dynatrace Unveils AI-powered Log Analytics Capabilities
Dynatrace has announced new AI-powered log analytics capabilities to address the growing challenges organizations face with legacy log management solutions. Legacy solutions often operate independently from existing monitoring tools, perpetuating operational inefficiencies that lead to delayed incident resolution, increased costs, and security vulnerabilities. Dynatrace, with its enhanced log analytics capabilities and streamlined approach, delivers several key innovations to address these challenges: Davis AI Integration: The powerful Dynatrace AI engine, Davis AI, provides instant explanations of log content, making complex analytics tasks more accessible to teams across the organization. Users can use natural language to create queries, build dashboards, and generate reports. The powerful Dynatrace AI engine, Davis AI, provides instant explanations of log content, making complex analytics tasks more accessible to teams across the organization. Users can use natural language to create queries, build dashboards, and generate reports. Natural Language Interface : A streamlined interface eliminates the need for specialized query languages, democratizing log analytics across teams through intuitive search and filtering capabilities. This empowers more users to access and analyze log data without extensive training. : A streamlined interface eliminates the need for specialized query languages, democratizing log analytics across teams through intuitive search and filtering capabilities. This empowers more users to access and analyze log data without extensive training. OpenPipeline Technology : Enables teams to automatically enrich ingested logs with crucial IT context, such as Kubernetes environment details, to drive faster data understanding and more effective analysis. Logs are easily transformed into metrics or business events, streamlining integration with dashboards and analytics tools for real-time insights. Teams can pre-process common technologies, making it easier to search and filter information quickly, providing faster answers to critical business needs. : Enables teams to automatically enrich ingested logs with crucial IT context, such as Kubernetes environment details, to drive faster data understanding and more effective analysis. Logs are easily transformed into metrics or business events, streamlining integration with dashboards and analytics tools for real-time insights. Teams can pre-process common technologies, making it easier to search and filter information quickly, providing faster answers to critical business needs. New Simplified Pricing Model: A new queries-included pricing structure helps organizations better predict annual costs and quickly scale their log management initiatives, particularly for high-query use cases. This eliminates the need to manually monitor query usage for cost control. Demand among enterprise customers to integrate log analytics into their existing observability strategies is higher than ever. Well over 1,000 customers use Dynatrace Logs solutions today, and over 50 percent of new customers onboarded this past year are already consuming logs. According to a recent Gartner report, monitoring and analysis is crucial for understanding modern IT systems. Traditional manual methods are inefficient for today's complex environments. A streamlined approach, for example using a telemetry pipeline, can simplify data extraction, processing and analysis, providing valuable insights for effective decision making while simultaneously managing costs. Customer Value in Log Analytics 'Dynatrace's continuous evolution and innovation have allowed us to improve the way we analyze our data,' said Diego Enciso, Observability Specialist at NEQUI. 'Its log analytics solution not only optimizes error detection but also helps us prevent fraud and gain valuable insights for strategic decision-making. With this capability, we have strengthened the security and efficiency of our operations.' The Dynatrace Vision 'I am passionate about the value that correlated data insights provides and I am excited to build innovative solutions that empower our customers to drive better business outcomes,' said Mala Pillutla, Vice President, Log Management at Dynatrace. 'Organizations today face the challenge of managing a multitude of monitoring tools, resulting in fragmented and often conflicting insights across their critical infrastructure and applications. By providing integrated log management with in-context analytics, we enable our customers to transform data into actionable insights that help build resilience and reliability of their most critical digital assets.' 0 0
