New capabilities to be presented on April 19th 2023 at the MPLSSD&AINET World23 conference in Paris and are now available to current Augtera customers Palo Alto, CA, April 18th, 2023 – Augtera Networks, the industry leader in AI/ML-powered Network Operations platforms, today announced the addition of Generative AI-driven human-like recommended remediation to its Network AI platform. This new capability enables operators to further reduce time to remediate network incidents including grey failures, unknown-unknowns, hardware failures and application performance impact that are automatically detected by Augtera.
“I am honored to join the Augtera Networks team and enable our strategic partners in using best in breed AI/ML to automate network observability and deliver on the full promise of DevOps.” said Allan Rickhi, VP of Channels and Alliances for Augtera Networks. “Enterprises can no longer compete in an era defined by AI using Network Performance Monitoring tools designed 30 years ago – this will be a game changer for Network Operations teams, radically reducing their workload and improving KPIs”.
Augtera Networks, the industry leader in AI/ML-powered Network Operations Solutions, today announced that Vyve Broadband is using the Augtera Networks, Network AI platform in production, to prevent future incidents
Augtera Networks, the industry leader in AI/ML-powered Network Operations Solutions, today announced its support of AMD Pensando DPUs to bring purpose-built Network AI to next generation data centers.
Palo Alto, CA, September 20, 2022 (Business Wire): Augtera Networks, the industry leader in AI/ML-powered Network Operations Solutions, today announced the first Network AIOps solution for Network logs, ushering in a new era of real-time, automated, log experiences.
Augtera Networks, the industry leader in AI/ML-powered Network Operations platforms, today announced the result of 3 years of development and customer partnership, the first holistic Network AIOps Data Center solution.
Operators increasingly want to move away from reactive historical mining of log data to proactive real-time insight
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