Cite this DOI

Kumar Kundavaram, V. N. (2025). Leveraging Artificial Intelligence within Power BI to Improve Business Intelligence Reporting. *Journal of Science & Technology*, *10*(08), 08–15. https://doi.org/10.46243/jst.2025.v10.i08.pp08-15

@article{kumarkundavaram2025leveraging,
  author    = {Kumar Kundavaram, Venkata Nagendra},
  title     = {{Leveraging Artificial Intelligence within Power BI to Improve Business Intelligence Reporting}},
  journal   = {Journal of Science \& Technology},
  year      = {2025},
  month     = {aug},
  volume    = {10},
  number    = {08},
  pages     = {08--15},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2025.v10.i08.pp08-15},
  url       = {https://doi.org/10.46243/jst.2025.v10.i08.pp08-15},
  language  = {en},
  abstract  = {This study investigates Artificial Intelligence (AI) implementation on Power BI in order to improve business intelligence reporting. Using secondary qualitative analysis, two key themes are the transformative impact of AI features on data analytics and the organisational or user-centric barriers to adoption. The findings of the research reveal that AI enhances reporting accuracy and efficiency, but challenges like digital literacy and resistance to change are still present. The study concludes that strategic alignment and user empowerment are essential for effective AI adoption.}
}

TY  - JOUR
TI  - Leveraging Artificial Intelligence within Power BI to Improve Business Intelligence Reporting
AU  - Kumar Kundavaram, Venkata Nagendra
JO  - Journal of Science & Technology
PY  - 2025
DA  - 2025/08/30/
VL  - 10
IS  - 08
SP  - 08
EP  - 15
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - This study investigates Artificial Intelligence (AI) implementation on Power BI in order to improve business intelligence reporting. Using secondary qualitative analysis, two key themes are the transformative impact of AI features on data analytics and the organisational or user-centric barriers to adoption. The findings of the research reveal that AI enhances reporting accuracy and efficiency, but challenges like digital literacy and resistance to change are still present. The study concludes that strategic alignment and user empowerment are essential for effective AI adoption.
DO  - 10.46243/jst.2025.v10.i08.pp08-15
UR  - https://doi.org/10.46243/jst.2025.v10.i08.pp08-15
ER  -

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    "URL": "https://doi.org/10.46243/jst.2025.v10.i08.pp08-15",
    "title": "Leveraging Artificial Intelligence within Power BI to Improve Business Intelligence Reporting",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Kumar Kundavaram",
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    "issued": {
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                2025,
                8,
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    "volume": "10",
    "issue": "08",
    "page": "08-15",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "This study investigates Artificial Intelligence (AI) implementation on Power BI in order to improve business intelligence reporting. Using secondary qualitative analysis, two key themes are the transformative impact of AI features on data analytics and the organisational or user-centric barriers to adoption. The findings of the research reveal that AI enhances reporting accuracy and efficiency, but challenges like digital literacy and resistance to change are still present. The study concludes that strategic alignment and user empowerment are essential for effective AI adoption.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2025.v10.i08.pp08-15 gives all four in one JSON answer.