International Journal of Science, Engineering and Computer Technology

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Increase Enterprise Services and Process Performance using Machine Learning and Continuous Micro-Coaching


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1 Service Now, United States
     

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Perfection is an ambitious goal. However, it's right to say that in-Service Management we aspire to do the best we possibly can. We improve our performance through practice, but for real acceleration, we need to take a fresh approach. "IT is the backbone of the modern enterprise" - if this is the case and we demand a consistently high level of performance from our IT staff now is the time to think about how best to achieve this. With the use of a continuous micro-coaching coupled with machine learning, employees can now be evaluated and coachedby providing instance learning and feedback in real time so as to improve process performance.

Keywords

ITSM, Service Management, CSI (Continual Service Improvement) Machine Learning, Artificial Intelligence.
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  • [Blog post] Retrieved from https://blog.skyrnind.ai/ai-infrastructure-machinelearning-operations-mlops/

  • Donald, M.P., & John, A.F. (1981). Performance feedback in organizational behavior management. Journal of Organizational Behavior Management, 3(1), 1 16.D01:10.1300/J075v03n01_01

  • Dominique, J. (2016, October 29). How ongoing performance management benefits the employee and the business. [Blog post] Retrieved from https://blog.shrrn.org/blog/how-ongoing-performance-nianagenient-benefits-the-employee-and-the-business

  • Mike,H. (2018,August 14). 6 WaysAIandML Will ChangeDevOpsfor theBetter [Blog post]. Retrieved from https://devops.com/6-ways-ai-and-ml-will-change-devops-for-the-better/

  • Peter, C, & Anna, T. (2016). The performance management revolution. Harvard Business Review, 86(4), 82-90. October Edition https://hbr.org/2016/10/the-performance-management-revolution

  • Randall, B., & Jim, H. (2017, April 21). Managers account for 70% of variance in employee engagement [Blog post]. Retrieved fromhttp://news.gallup.com/businessjournal/182792/managers-account-variance-employee-Pengagement.aspx

  • Skymind (2018, June 13). AI infrastructure and machine learning operations (AIOpsorMlOps)

  • Sushman, B. (2018, July 19). Introducing real-time feedback for agile performance management. [Blog post] Retrieved from https://www.hrtechnologist.com/articles/perform ance-management/introducing-realtime-fee dback-for-agile-performance-management/#

  • Zorian, R. (2017, November 28). How HR leaders are implementing continuous feedback loops [Blog post] Retrieved from http://www.iam wire.com/2017/ll/how-hr-leaders-are-implementing-continuous-feedback-loops/169343


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  • Increase Enterprise Services and Process Performance using Machine Learning and Continuous Micro-Coaching

Abstract Views: 629  |  PDF Views: 0

Authors

Manjeet Singh
Service Now, United States

Abstract


Perfection is an ambitious goal. However, it's right to say that in-Service Management we aspire to do the best we possibly can. We improve our performance through practice, but for real acceleration, we need to take a fresh approach. "IT is the backbone of the modern enterprise" - if this is the case and we demand a consistently high level of performance from our IT staff now is the time to think about how best to achieve this. With the use of a continuous micro-coaching coupled with machine learning, employees can now be evaluated and coachedby providing instance learning and feedback in real time so as to improve process performance.

Keywords


ITSM, Service Management, CSI (Continual Service Improvement) Machine Learning, Artificial Intelligence.

References