your technology should make an impact
NEW! I am happy to announce my book Accelerate: The Science of DevOps - Building and Scaling High Performing Technology Organizations, coauthored with Jez Humble and Gene Kim, is from Amazon now. Check it out here.
I am an IT impacts expert who shows leaders and tech professionals how to unlock the potential of technology change. Best known for my work measuring the technology process and as the lead investigator of the largest DevOps studies to date, I am a consultant, expert, and researcher in DevOps, IT adoption and impacts, and knowledge management. I am the co-founder, CEO and Chief Scientist at DevOps Research and Assessment (DORA), a venture with Gene Kim and Jez Humble. I am a member of ACM Queue's Editorial Board and am an Academic Partner at Clemson University and Florida International University. In a previous life, I was a professor, sysadmin, and hardware performance analyst.
I hold a PhD in Management Information Systems and a Masters in Accounting. I have published several peer-reviewed journal papers and have been awarded public and private research grants (funders include NASA and the NSF), and my work has been featured in various media outlets, including the Wall Street Journal, Forbes, ComputerWorld, and InfoWeek. I have been named a Top 10 Thought Leader in DevOps, a Top 100 Leader and renowned expert in DevOps, and a Top 20 Most Influential Woman in DevOps. You can read Gartner's take on my move from academia to bring science to the tech industry here.
Photo credits (unless stated otherwise): D'Arcy Benincosa
I am available for limited engagements, which can include private speaking engagements, interactive workshops, and data concierge services.
I am available in full day or multi-day sessions, or on retainer as an advisor.
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In the course of my work, I conduct and publish academic research. I have published several peer-review journal and conference articles, appearing in outlets like Communications of the AIS, Journal of Learning Sciences, Journal of Computational Statistics, and IBM Journal of Research and Development. More information is available here.