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Human-AI-powered Strategies for Better Business Applications

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Complex, Intelligent and Software Intensive Systems (CISIS 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 176))

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Abstract

This contribution presents strategies for intelligent knowledge transformation using qualitative analysis and Human-AI-powered remediation plans. First, we discuss classic maturity models and why they often fail in our dynamic world. Then, we present a better way towards knowledge modeling and mentorship, which is implemented in our Gobenchmark product. Last, we demonstrate a business case that underpins the relevance and opportunities of knowledge modeling.

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References

  1. Mayrhofer, J.: United States Patent Office (2022)

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  2. Mayrhofer, J.: Performetriks.: https://www.performetriks.com/blog/categories/gobenchmark (2023)

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  4. Herschmann, J., Guttridge, K., Murphy, T.: Gartner Research. https://www.gartner.com/en/documents/4007508 (2021)

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  6. Vaidya, D.: Wallstreetmojo. https://www.wallstreetmojo.com/qualitative-analysis (2023)

  7. Reuters.: Marketscreener. https://www.marketscreener.com/news/latest/Singapore-s-cenbank-says-digital-services-outage-at-DBS-unacceptable--43363754/ (2023)

  8. Finney, D.: Investopia. https://www.investopedia.com/articles/bonds/09/history-credit-rating-agencies.asp (2022)

  9. Deepsource.: NIST. https://deepsource.com/blog/exponential-cost-of-fixing-bugs/ (2022)

  10. Mayrhofer, J.: Gobenchmark powered by Performetriks. https://gobenchmark.io/# (2023)

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Correspondence to Josef Mayrhofer .

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Mayrhofer, J. (2023). Human-AI-powered Strategies for Better Business Applications. In: Barolli, L. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-031-35734-3_26

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