Transposit, the data-driven DevOps automation company, today announced that founder and CTO Tina Huang and Grammarly’s head of machine learning and natural language processing products Timo Mertens will be discussing human-in-the-loop DevOps and machine learning in a virtual event on November 10. The event is presented by venture capital firm SignalFire, which invested in both Transposit and Grammarly. The event will inform technology leaders from organizations of all sizes on how to optimize incident management, DevOps, site reliability, and communications processes with a human-centric approach.
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What: Human data such as archived Slack communications, postmortem interviews, group feedback, and other human processes that happen above all the software development have been ignored. Building structure and capability around human data can enable DevOps teams to achieve more reliable automation.
Huang and Mertens will delve into the type of data needed to build, automate, and scale processes both strategically and effectively. The discussion will focus on the relationship between automation, data, machine learning, and human behavior. Through real-world use cases, Huang and Mertens will share a human-centered approach to automation while providing practical advice on how to optimize incident management, DevOps, site reliability, and communications processes engineering teams rely on daily.
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Who: Tina Huang is the founder and CTO of Transposit, the automation platform for the modern stack that unifies operations and incident management at scale. She believes in taking a human-centric approach to solving complex engineering problems and encourages engineers to practice end-to-end ownership while breaking down the silos in engineering organizations. Prior to Transposit, Tina began her career at Apple designing and building APIs for Apple’s application framework.
As an early Google engineer, she worked on Google’s Blogger team and played an instrumental role in re-architecting the Google News frontend. At Twitter, she architected, built, scaled, and operated the social media company’s notification platform. Tina received her electrical engineering and computer sciences degree from the Massachusetts Institute of Technology. She studied humanities at the University of Chicago, framing her viewpoint on human-technology interaction.
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