Grey Matter
Taylor Johnson has a diverse work experience across various industries. They began their career at West Virginia University as a Federal Work Study Exercise Physiology from August 2012 to August 2013. They then worked at Target, assuming roles such as Job Shadowing from August 2016 to December 2016, Visual Merchandiser from August 2014 to June 2018, and Specialty Sales Team Lead from June 2018 to July 2019. Afterwards, they joined WVU Medicine as an Administrative Communications Manager from July 2019 to November 2020. Following that, they worked at Gabes as a Marketing Specialist, Creative Strategy from November 2020 to January 2022. They then transitioned to Vendition, where they served as a Social Media Marketing Manager from January 2022 to September 2022, and later as a Marketing Communications Manager from September 2022 to February 2023. Currently, Taylor is employed at greymatter.io, holding the position of Demand Generation | Marketing which started in February 2023.
Taylor Johnson completed their high school education at Waynesburg Central High School from 2008 to 2012. They then pursued a Bachelor of Arts (BA) degree in Communication Studies from the West Virginia University Eberly College of Arts & Sciences from 2012 to 2016. Taylor furthered their education by earning a Master's degree in Integrated Marketing Communications from West Virginia University from 2016 to 2018.
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Grey Matter
Grey Matter is an intelligent mesh platform for enterprise microservice, container, and hybrid cloud operations and management. Our focus on enabling enterprise governance, risk and compliance by leveraging the service mesh technologies for the development to day 2 AI Ops lifecycle. Our platform delivers reliable secure networkperformance, service level management and business intelligence, resource control, automation, and cost efficiency for the enterprise. Grey Matter is a pathway to enterprise modernization and cost control, providing interlacing service control, data management, and neural net functions designed to optimize enterprise distributed systems ROI and TCO.Grey Matter facilitates the management of distributed microservice workloads, controls network traffic, and smartly scales infrastructure to meet business demands. The capture and analysis of over 100 telemetry types powers onboard service level management and control. Our customers rely on Grey Matter’s speed, security, and reliability for critical distributed cloud management and data discovery, storage, and global sharing requirements. An industrial AI software pathway to intent-based networking and AIOps, the platform is also designed to optimize enterprise network availability and performance through AI neural network analysis, enabling AIOps for contextual awareness and intelligent network monitoring.