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VERSION:2.0
PRODID:-//DevOpsChat//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:01a1989d-2cc6-738a-9b0a-aef20d8daab1@www.devopschat.co
DTSTAMP:20261106T143102Z
DTSTART:20210211T160000Z
DTEND:20210211T170000Z
SUMMARY:"Using Unsupervised ML to Detect Anomalies in Machine Data" by Dan 
 Turchin
DESCRIPTION:Register on Zoom here: https://zoom.us/webinar/register/WN_-qm6
 nb8LS-u1fgylqUguIw\n\nTalk: Using unsupervised machine learning to detect 
 anomalies in machine data: How InsightFinder predicts and prevents IT outa
 ges with automated root cause analysis\n\nIn this discussion\, InsightFind
 er CEO Dan Turchin will share where we’ve been as an IT Ops community\, 
 where we are\, and where we’re headed. He’ll discuss the unique techno
 logy breakthroughs achieved by InsightFinder and demo the future of applic
 ation observability.\n\nSpeaker: Dan Turchin\, CEO of InsightFinder (Twitt
 er @dturchin)\n\nAgenda:\n4:00 pm Introductions\n4:05 pm Talk - "Using Uns
 upervised ML to Detect Anomalies in Machine Data" by Dan Turchin\, CEO of 
 InsightFinder\n4:45 pm Q&A\n4:55 pm Raffle for $50 Gift Card\n\nRegister o
 n Zoom here:\n\nFurther talk details: https://zoom.us/webinar/register/WN_
 -qm6nb8LS-u1fgylqUguIw\n\nFor a decade\, IT Operations teams have struggle
 d to manage increasing data volumes from metrics\, logs\, traces\, and cha
 nge events. That\, combined with new architectures like microservices\, AP
 I-driven everything\, serverless computing\, and auto-scaling across multi
 ple clouds make systems management an unreasonable task for humans without
  help from machine intelligence.\n\nInsightFinder is the first AI platform
  designed to detect anomalies in machine data at scale. It uses unsupervis
 ed machine learning from streams of structured and unstructured data to an
 alyze billions of rows of cross-source data daily. Unlike alternatives\, I
 nsightFinder automates the lifecycle of operational incidents by:\n\n- Det
 ecting anomalies across data sources\n- Predicting incidents five to seven
  hours before they occur\n- Reducing noisy alerts by up to 90%\n- Automati
 ng root cause analysis and remediation\n\nSpeaker Bio:\nDan Turchin is the
  CEO of InsightFinder. Previously\, he co-founded Astound\, an AI platform
  for service automation\, was Vice President of Product at AIOps leader Bi
 gPanda\, Chief Product Officer at security analytics company AccelOps (now
  Fortinet)\, and a Senior Director of Product Strategy at ServiceNow. In 2
 000\, Dan co-founded Aeroprise and served as CEO until it was acquired in 
 2010 by BMC Software. He is an active angel investor\, startup advisor\, a
 nd a member of the Forbes Technology Council. Dan has BS and BA degrees fr
 om Stanford University.\n\nRegister on Zoom here: https://zoom.us/webinar/
 register/WN_-qm6nb8LS-u1fgylqUguIw\n\nThe "Monitoring and Remediation" ser
 ies at SVDevOps features talks from a variety of innovators sharing how th
 ey approach monitoring and remediation.\n\nEvent Organizers: Dave Nielsen 
 & Mahesh Kumar\n\nSponsored by:\nHypertrace.org\n\nhttps://www.devopschat.
 co/meetings/using-unsupervised-ml-to-detect-anomalies-in-machine-data-by-d
 an-turchin
URL:https://www.devopschat.co/meetings/using-unsupervised-ml-to-detect-anom
 alies-in-machine-data-by-dan-turchin
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