{"success":true,"data":{"pressRelease":{"id":"66482","rtpr_id":"nBw3cknJ5a","ticker":"DT","exchange":"NYSE","all_tickers":["DT"],"title":"New Global Study Finds AI is Breaking Enterprise Log Management","author":"Business Wire","published_at":"2026-06-17T13:00:02.149Z","article_body":"New Global Study Finds AI is Breaking Enterprise Log Management\n\nAI workloads triggered a 93% surge in log and telemetry volume, while teams\nrely on an average of seven different tools, forcing manual correlation that\ndoesn’t scale\n\nDynatrace (NYSE: DT)\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=Dynatrace+%28NYSE%3A+DT%29&index=1&md5=e5e6fe814e1fa7719caa010421260705)\n, the leading AI-powered observability platform, today released findings from\nits new research, The State of Log Management 2026 report,\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fresources%2Fstate-of-log-management-2026-18096921%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=The+State+of+Log+Management+2026+report%2C&index=2&md5=aad630f286b0b9123065a211a0e76e75)\nrevealing that the rapid growth of AI workloads is pushing traditional log\nmanagement approaches to their limits. Modern logs have become critical to\nunderstanding, validating, and securing AI-driven decisions, helping\norganizations ensure reliability, compliance, and performance at scale.\nHowever, the volume and complexity of AI telemetry are overwhelming legacy\ntools, making it harder for teams to keep AI systems explainable, trustworthy,\nand production ready. As a result, enterprises must rethink how they manage\nand analyze telemetry data to maintain visibility, control costs, and support\nAI at scale.\n\nKey findings from the report include:\n\n\n * AI workloads have driven a 93% increase in log volume over the last 12 months.\n\n * Organizations use an average of seven different tools to manage logs and\ntelemetry.\n\n * 80% say turning telemetry into actionable insights is negatively impacting\ncustomer experience and delaying AI initiatives.\n\n * Organizations exclude an average of 86% of log data to manage costs and system\nlimitations.\n\n * Teams spend nearly $2.5 million annually on logging solutions.\n\n * Nearly three-quarters say AI workloads require a platform-based approach to\nlog management.\n\n * 81% believe log ingestion and processing must be open and automated for\nreal-time analysis.\n\nAccording to a global study of 450 senior technology leaders, this surge in\ndata, combined with fragmented tools, is making it increasingly difficult for\nteams to detect issues, secure AI systems, and extract timely insights.\nOrganizations are forced into manual, time-consuming workflows as they compare\ninsights across systems, slowing time to insight and limiting their ability to\nmove AI initiatives from pilot to production.\n\nAI growth pushes traditional log management to breaking point\n\nRespondents estimate they spend an average of nearly $2.5 million annually on\nlogging solutions, including log ingestion, management, storage, indexing,\nrehydration, and querying. At the same time, logs are a key component for\nunderstanding and securing AI systems. To manage rising costs and system\nlimitations using traditional methods, many organizations are forced to limit\nthe amount of telemetry they ingest or retain.\n\nNearly half of organizations report discarding or not collecting logs,\nexcluding an average of 86% of log data from ingestion, storage, or analysis\nto manage cost and system limitations. These challenges are most pronounced in\nenvironments that rely on fragmented or log‑centric approaches, rather than\na unified observability platform designed to handle AI‑scale telemetry.\n\n“AI is accelerating enterprise innovation, but most logging systems were\nnever built for the scale, speed, or complexity of AI‑driven\nenvironments,” said Mala Pillutla, Vice President of Log Management at\nDynatrace. “As AI agents operate probabilistically, treating logs, metrics,\ntraces, and events as separate signals is no longer viable. To make AI systems\nreliable and trustworthy, organizations need a unified, intelligent approach\nthat brings all telemetry together in real time, enriched with deep context to\ndrive confident decisions.”\n\nAs AI initiatives move from experimentation to production, fragmented log\nmanagement from too many tools is emerging as a key barrier to reliability,\ntrust, and operational scale.\n\nUnified observability becomes essential to scaling AI workloads\n\nThe report underscores the need for a fundamentally new approach to log\nmanagement, where logs serve as the high-fidelity foundation, unified with\ndistributed tracing and other telemetry data to deliver real-time,\ncontext-rich insights at a massive scale.\n\nNearly three‑quarters of respondents say AI workloads now demand a\nplatform‑based approach to log management, while 81% believe log ingestion\nand processing must be open and automated to enable real‑time analysis\nwithout rigid schemas, indexing overhead, or rehydration delays.\n\nThe real cost of observability fragmentation isn't just the infrastructure\nbill — it's the opportunity cost of AI initiatives that stall between pilot\nand production because teams can't trust their telemetry. The research shows\nthat roughly a third of organizations are paying for redundant or\nunderutilized observability features, and more than a quarter are burning\nengineering cycles just keeping multiple tools running across environments.\nThat's capacity that should be going toward making AI workloads\nproduction-ready, not toward stitching together dashboards across numerous\ndifferent tools.\n\nDownload The State of Log Management 2026 report here\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fresources%2Fstate-of-log-management-2026-18096921%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=here&index=3&md5=0a8d5f2fdbe70b7a247bb968ffce9a14)\nto explore benchmark data on how AI workloads are exploding log volume and\ncosts, and why unified observability is now essential for reliable,\ntrustworthy AI operations.\n\nMethodology\n\nThe State of Log Management 2026 report is based on a global survey of 450\nsenior leaders and decision makers responsible for log management in\nenterprises with annual revenues of $750 million or more. The research was\nconducted by Coleman Parkes on behalf of Dynatrace in January and February of\n2026.\n\nResources\n\n\n * The future of log management: New research reveals that AI workloads demand\nmore from logs\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fnews%2Fblog%2Flog-management-research-key-findings%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=The+future+of+log+management%3A+New+research+reveals+that+AI+workloads+demand+more+from+logs&index=4&md5=b0957f0f70db124518187f88abcd30ca)\n\nAbout Dynatrace\n\nDynatrace is advancing observability for today’s digital businesses, helping\nto transform the complexity of modern digital ecosystems into powerful\nbusiness assets. By leveraging AI-powered insights, Dynatrace enables\norganizations to analyze, automate, and innovate faster to drive their\nbusiness forward. To learn more about how Dynatrace can help your business,\nvisit www.dynatrace.com\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.dynatrace.com&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=www.dynatrace.com&index=5&md5=04a1d3fc30b698852bec75c22cf7f381)\n, visit our blog\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fnews%2Fblog%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=blog&index=6&md5=2009c3b2574d08691e38de6322c453a1)\nand follow us on LinkedIn\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdynatrace%2Fposts%2F%3FfeedView%3Dall&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=LinkedIn&index=7&md5=661e3b518613daabb4fbd3ba14ee8776)\nand X @dynatrace.\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fx.com%2FDynatrace&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=%40dynatrace.&index=8&md5=6308c0bd7790cd3da717654abe9157de)\n\nCurious to see how you can simplify your cloud and maximize the impact of your\ndigital teams? Let us show you. Sign up for a 15-day Dynatrace trial.\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fsignup%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=Sign+up+for+a+15-day+Dynatrace+trial.&index=9&md5=582cab39b2ff782cfd356577bbb8f0b3)\n\nDynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group\nof companies. All other trademarks are the property of their respective\nowners. © 2026 Dynatrace LLC.\n\nCautionary Language Concerning Forward-Looking Statements\n\nThis press release includes certain “forward-looking statements” within\nthe meaning of the Private Securities Litigation Reform Act of 1995, including\nstatements regarding Dynatrace’s capabilities and platform and the expected\ncurrent and future benefits to organizations from using the Dynatrace\nplatform. These forward-looking statements include all statements that are not\nhistorical facts and statements identified by words such as “will,”\n“expects,” “anticipates,” “intends,” “plans,” “believes,”\n“seeks,” “estimates,” and words of similar meaning. These\nforward-looking statements reflect our current views about our plans,\nintentions, expectations, strategies, and prospects, which are based on the\ninformation currently available to us and on assumptions we have made.\nAlthough we believe that our plans, intentions, expectations, strategies, and\nprospects as reflected in or suggested by those forward-looking statements are\nreasonable, we can give no assurance that the plans, intentions, expectations,\nor strategies will be attained or achieved. Actual results may differ\nmaterially from those described in the forward-looking statements and will be\naffected by a variety of risks and factors that are beyond our control,\nincluding the risks set forth under the caption “Risk Factors” in our\nAnnual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our\nother SEC filings. We assume no obligation to update any forward-looking\nstatements contained in this document because of new information, future\nevents, or otherwise.\n\n\n\nView source version on businesswire.com:\nhttps://www.businesswire.com/news/home/20260617177019/en/\n(https://www.businesswire.com/news/home/20260617177019/en/)\n\nMedia Relations:\n\nDynatrace PR Team\n\ndynatrace-pr@dynatrace.com (mailto:dynatrace-pr@dynatrace.com)\n\n\nCopyright Business Wire 2026","article_body_html":"","raw_payload":{"data":{"id":"nBw3cknJ5a","title":"New Global Study Finds AI is Breaking Enterprise Log Management","author":"Business Wire","ticker":"DT","created":"2026-06-17T13:00:02.149Z","tickers":["DT"],"exchange":"NYSE","article_body":"New Global Study Finds AI is Breaking Enterprise Log Management\n\nAI workloads triggered a 93% surge in log and telemetry volume, while teams\nrely on an average of seven different tools, forcing manual correlation that\ndoesn’t scale\n\nDynatrace (NYSE: DT)\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=Dynatrace+%28NYSE%3A+DT%29&index=1&md5=e5e6fe814e1fa7719caa010421260705)\n, the leading AI-powered observability platform, today released findings from\nits new research, The State of Log Management 2026 report,\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fresources%2Fstate-of-log-management-2026-18096921%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=The+State+of+Log+Management+2026+report%2C&index=2&md5=aad630f286b0b9123065a211a0e76e75)\nrevealing that the rapid growth of AI workloads is pushing traditional log\nmanagement approaches to their limits. Modern logs have become critical to\nunderstanding, validating, and securing AI-driven decisions, helping\norganizations ensure reliability, compliance, and performance at scale.\nHowever, the volume and complexity of AI telemetry are overwhelming legacy\ntools, making it harder for teams to keep AI systems explainable, trustworthy,\nand production ready. As a result, enterprises must rethink how they manage\nand analyze telemetry data to maintain visibility, control costs, and support\nAI at scale.\n\nKey findings from the report include:\n\n\n * AI workloads have driven a 93% increase in log volume over the last 12 months.\n\n * Organizations use an average of seven different tools to manage logs and\ntelemetry.\n\n * 80% say turning telemetry into actionable insights is negatively impacting\ncustomer experience and delaying AI initiatives.\n\n * Organizations exclude an average of 86% of log data to manage costs and system\nlimitations.\n\n * Teams spend nearly $2.5 million annually on logging solutions.\n\n * Nearly three-quarters say AI workloads require a platform-based approach to\nlog management.\n\n * 81% believe log ingestion and processing must be open and automated for\nreal-time analysis.\n\nAccording to a global study of 450 senior technology leaders, this surge in\ndata, combined with fragmented tools, is making it increasingly difficult for\nteams to detect issues, secure AI systems, and extract timely insights.\nOrganizations are forced into manual, time-consuming workflows as they compare\ninsights across systems, slowing time to insight and limiting their ability to\nmove AI initiatives from pilot to production.\n\nAI growth pushes traditional log management to breaking point\n\nRespondents estimate they spend an average of nearly $2.5 million annually on\nlogging solutions, including log ingestion, management, storage, indexing,\nrehydration, and querying. At the same time, logs are a key component for\nunderstanding and securing AI systems. To manage rising costs and system\nlimitations using traditional methods, many organizations are forced to limit\nthe amount of telemetry they ingest or retain.\n\nNearly half of organizations report discarding or not collecting logs,\nexcluding an average of 86% of log data from ingestion, storage, or analysis\nto manage cost and system limitations. These challenges are most pronounced in\nenvironments that rely on fragmented or log‑centric approaches, rather than\na unified observability platform designed to handle AI‑scale telemetry.\n\n“AI is accelerating enterprise innovation, but most logging systems were\nnever built for the scale, speed, or complexity of AI‑driven\nenvironments,” said Mala Pillutla, Vice President of Log Management at\nDynatrace. “As AI agents operate probabilistically, treating logs, metrics,\ntraces, and events as separate signals is no longer viable. To make AI systems\nreliable and trustworthy, organizations need a unified, intelligent approach\nthat brings all telemetry together in real time, enriched with deep context to\ndrive confident decisions.”\n\nAs AI initiatives move from experimentation to production, fragmented log\nmanagement from too many tools is emerging as a key barrier to reliability,\ntrust, and operational scale.\n\nUnified observability becomes essential to scaling AI workloads\n\nThe report underscores the need for a fundamentally new approach to log\nmanagement, where logs serve as the high-fidelity foundation, unified with\ndistributed tracing and other telemetry data to deliver real-time,\ncontext-rich insights at a massive scale.\n\nNearly three‑quarters of respondents say AI workloads now demand a\nplatform‑based approach to log management, while 81% believe log ingestion\nand processing must be open and automated to enable real‑time analysis\nwithout rigid schemas, indexing overhead, or rehydration delays.\n\nThe real cost of observability fragmentation isn't just the infrastructure\nbill — it's the opportunity cost of AI initiatives that stall between pilot\nand production because teams can't trust their telemetry. The research shows\nthat roughly a third of organizations are paying for redundant or\nunderutilized observability features, and more than a quarter are burning\nengineering cycles just keeping multiple tools running across environments.\nThat's capacity that should be going toward making AI workloads\nproduction-ready, not toward stitching together dashboards across numerous\ndifferent tools.\n\nDownload The State of Log Management 2026 report here\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fresources%2Fstate-of-log-management-2026-18096921%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=here&index=3&md5=0a8d5f2fdbe70b7a247bb968ffce9a14)\nto explore benchmark data on how AI workloads are exploding log volume and\ncosts, and why unified observability is now essential for reliable,\ntrustworthy AI operations.\n\nMethodology\n\nThe State of Log Management 2026 report is based on a global survey of 450\nsenior leaders and decision makers responsible for log management in\nenterprises with annual revenues of $750 million or more. The research was\nconducted by Coleman Parkes on behalf of Dynatrace in January and February of\n2026.\n\nResources\n\n\n * The future of log management: New research reveals that AI workloads demand\nmore from logs\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fnews%2Fblog%2Flog-management-research-key-findings%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=The+future+of+log+management%3A+New+research+reveals+that+AI+workloads+demand+more+from+logs&index=4&md5=b0957f0f70db124518187f88abcd30ca)\n\nAbout Dynatrace\n\nDynatrace is advancing observability for today’s digital businesses, helping\nto transform the complexity of modern digital ecosystems into powerful\nbusiness assets. By leveraging AI-powered insights, Dynatrace enables\norganizations to analyze, automate, and innovate faster to drive their\nbusiness forward. To learn more about how Dynatrace can help your business,\nvisit www.dynatrace.com\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.dynatrace.com&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=www.dynatrace.com&index=5&md5=04a1d3fc30b698852bec75c22cf7f381)\n, visit our blog\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fnews%2Fblog%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=blog&index=6&md5=2009c3b2574d08691e38de6322c453a1)\nand follow us on LinkedIn\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdynatrace%2Fposts%2F%3FfeedView%3Dall&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=LinkedIn&index=7&md5=661e3b518613daabb4fbd3ba14ee8776)\nand X @dynatrace.\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fx.com%2FDynatrace&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=%40dynatrace.&index=8&md5=6308c0bd7790cd3da717654abe9157de)\n\nCurious to see how you can simplify your cloud and maximize the impact of your\ndigital teams? Let us show you. Sign up for a 15-day Dynatrace trial.\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.dynatrace.com%2Fsignup%2F&esheet=54555746&newsitemid=20260617177019&lan=en-US&anchor=Sign+up+for+a+15-day+Dynatrace+trial.&index=9&md5=582cab39b2ff782cfd356577bbb8f0b3)\n\nDynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group\nof companies. All other trademarks are the property of their respective\nowners. © 2026 Dynatrace LLC.\n\nCautionary Language Concerning Forward-Looking Statements\n\nThis press release includes certain “forward-looking statements” within\nthe meaning of the Private Securities Litigation Reform Act of 1995, including\nstatements regarding Dynatrace’s capabilities and platform and the expected\ncurrent and future benefits to organizations from using the Dynatrace\nplatform. These forward-looking statements include all statements that are not\nhistorical facts and statements identified by words such as “will,”\n“expects,” “anticipates,” “intends,” “plans,” “believes,”\n“seeks,” “estimates,” and words of similar meaning. These\nforward-looking statements reflect our current views about our plans,\nintentions, expectations, strategies, and prospects, which are based on the\ninformation currently available to us and on assumptions we have made.\nAlthough we believe that our plans, intentions, expectations, strategies, and\nprospects as reflected in or suggested by those forward-looking statements are\nreasonable, we can give no assurance that the plans, intentions, expectations,\nor strategies will be attained or achieved. Actual results may differ\nmaterially from those described in the forward-looking statements and will be\naffected by a variety of risks and factors that are beyond our control,\nincluding the risks set forth under the caption “Risk Factors” in our\nAnnual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our\nother SEC filings. We assume no obligation to update any forward-looking\nstatements contained in this document because of new information, future\nevents, or otherwise.\n\n\n\nView source version on businesswire.com:\nhttps://www.businesswire.com/news/home/20260617177019/en/\n(https://www.businesswire.com/news/home/20260617177019/en/)\n\nMedia Relations:\n\nDynatrace PR Team\n\ndynatrace-pr@dynatrace.com (mailto:dynatrace-pr@dynatrace.com)\n\n\nCopyright Business Wire 2026"},"type":"article","timestamp":"2026-06-17T13:00:03.053619305Z","server_sent_at_ms":1781701203053},"received_at":"2026-06-17T13:00:03.149Z","source_url":"https://www.businesswire.com/news/home/20260617177019/en/"},"analysis":{"id":"55897","press_release_id":"66482","analysis_json":{"industry":{"label":"Software","sector":"Information Technology"},"redFlags":[],"eventType":"other","narrative":"Dynatrace published its State of Log Management 2026 report, which reveals that AI workloads have triggered a 93% surge in log volume over the past year, pushing traditional tools to their limits.\n\nThe survey of 450 senior technology leaders found that organizations use an average of seven different tools and exclude 86% of log data to manage costs, with 80% reporting that these difficulties negatively impact customer experience.\n\nNearly three-quarters of respondents stated that AI workloads require a platform-based approach, validating the market demand for Dynatrace's unified observability and AI-powered solutions.","sentiment":"bullish","agentHooks":{"shouldPost":false,"suggestedAngle":"Dynatrace survey data underscores critical need for unified observability as AI workloads overwhelm legacy log management."},"keyFigures":{"customDimensions":{"avg_tools_per_org":7,"survey_respondents":450,"log_volume_increase_pct":"93%","avg_log_data_excluded_pct":"86%","pct_need_platform_approach":"three-quarters","avg_annual_logging_spend_usd":"2.5 million","pct_need_automated_ingestion":"81%","survey_revenue_threshold_usd":"750 million","pct_impacting_customer_experience":"80%"}},"quotedText":"AI is accelerating enterprise innovation, but most logging systems were never built for the scale, speed, or complexity of AI‑driven environments","namedEntities":{"people":[{"name":"Mala Pillutla","role":"Vice President of Log Management"}],"products":["The State of Log Management 2026 report"],"companies":[{"name":"Dynatrace","ticker":"DT"},{"name":"Coleman Parkes","relationship":"research firm"}],"dollarAmounts":[{"amount":"$2.5 million","context":"average annual spend on logging solutions per organization"},{"amount":"$750 million","context":"minimum annual revenue of surveyed enterprises"}]},"materialImpact":{"score":2,"reasoning":"Dynatrace released a marketing research report highlighting industry tailwinds for its unified observability platform. While the data points strongly support the company's long-term AI thesis, the release lacks specific financial guidance, customer wins, or material operational updates required for a higher impact score."},"tickerRelevance":{"others":[],"primary":"DT"},"globalImportance":15,"audienceRelevance":25,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"mid-cap","eventGravity":"marketing-research","sectorWeight":"software"}},"event_type":"other","event_type_secondary":null,"sentiment":"bullish","material_impact_score":2,"narrative":"Dynatrace published its State of Log Management 2026 report, which reveals that AI workloads have triggered a 93% surge in log volume over the past year, pushing traditional tools to their limits.\n\nThe survey of 450 senior technology leaders found that organizations use an average of seven different tools and exclude 86% of log data to manage costs, with 80% reporting that these difficulties negatively impact customer experience.\n\nNearly three-quarters of respondents stated that AI workloads require a platform-based approach, validating the market demand for Dynatrace's unified observability and AI-powered solutions.","key_figures":{"customDimensions":{"avg_tools_per_org":7,"survey_respondents":450,"log_volume_increase_pct":"93%","avg_log_data_excluded_pct":"86%","pct_need_platform_approach":"three-quarters","avg_annual_logging_spend_usd":"2.5 million","pct_need_automated_ingestion":"81%","survey_revenue_threshold_usd":"750 million","pct_impacting_customer_experience":"80%"}},"named_entities":{"people":[{"name":"Mala Pillutla","role":"Vice President of Log Management"}],"products":["The State of Log Management 2026 report"],"companies":[{"name":"Dynatrace","ticker":"DT"},{"name":"Coleman Parkes","relationship":"research firm"}],"dollarAmounts":[{"amount":"$2.5 million","context":"average annual spend on logging solutions per organization"},{"amount":"$750 million","context":"minimum annual revenue of surveyed enterprises"}]},"model_name":"qwen3_6_27b_awq","prompt_hash":"sha256:727b4b9429a443af","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-06-17T13:33:36.735Z","global_importance":15,"audience_relevance":25,"importance_components":{"tickerTier":"mid-cap","eventGravity":"marketing-research","sectorWeight":"software"}},"durationMs":123472,"modelName":"george-droid-qwen-72b"}}