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Singh, Manjeet
- Increase Enterprise Services and Process Performance using Machine Learning and Continuous Micro-Coaching
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1 Service Now, US
1 Service Now, US
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International Journal of Science, Engineering and Computer Technology, Vol 8, No 2-4 (2018), Pagination: 48-53Abstract
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
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- Product Managers for Artificial Intelligence and Robotic World
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Authors
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1 Service Now, US
1 Service Now, US
Source
International Journal of Science, Engineering and Computer Technology, Vol 8, No 2-4 (2018), Pagination: 68-73Abstract
The role of the product manager is evolving drastically and expanding due to the exponential rate of change in Technology for some time now. With growing significance of cloud applications, artificial intelligence, machine learning, data insight, rapid prototyping, design thinking, and faster decision making, the product manager needs to be proactive in their analysis, decision making and building products to drive sustainable business growth. Today, basic physical, digital and biological technology are intersecting to create large scale system change in many industries and altering the very fabric of our social system. In short, the Product Manager are faced with designing the systems of future accommodating for technology and people.Keywords
Cloud, Artificial Intelligence, Machine Learning, Ai Product Management, Data Insight, Design Thinking.References
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