add refs

applied-insights/case-studies/posts/2026/12/references.bib

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+@report{mitnanda2025,
+  title     = {The GenAI Divide: State of AI in Business 2025},
+  author    = {{MIT NANDA}},
+  year      = {2025},
+  institution = {Massachusetts Institute of Technology},
+  note      = {PDF hosted via MLQ.ai}
+}
+
+@report{chopra2025,
+  title     = {Measuring Skills-Centered Exposure in the AI Economy},
+  author    = {Chopra, A. and others},
+  year      = {2025},
+  institution = {MIT Project Iceberg and Oak Ridge National Laboratory},
+  note      = {Project Iceberg report}
+}
+
+@article{ransbotham2020,
+  title   = {Expanding AI’s Impact with Organizational Learning},
+  author  = {Ransbotham, Sam and Khodabandeh, Shervin and Kiron, David and Candelon, Fran{\c{c}}ois and Chu, Michael and LaFountain, Brooke},
+  journal = {MIT Sloan Management Review},
+  year    = {2020},
+  note    = {In collaboration with Boston Consulting Group}
+}
+
+@report{bcg2024,
+  title     = {Where’s the Value in AI?},
+  author    = {de Bellefonds, Nicolas and others},
+  year      = {2024},
+  institution = {Boston Consulting Group}
+}
+
+@report{deloitte2024,
+  title     = {The State of Generative AI in the Enterprise: Now Decides Next},
+  author    = {{Deloitte AI Institute}},
+  year      = {2024},
+  institution = {Deloitte}
+}
+
+@article{schlegel2023,
+  title   = {Failure Factors of AI Projects: Results from Expert Interviews},
+  author  = {Schlegel, Dominik and Schuler, Katharina and Westenberger, Johannes},
+  journal = {International Journal of Information Systems and Project Management},
+  year    = {2023},
+  volume  = {11},
+  number  = {3},
+  pages   = {25--40}
+}
+
+@article{markus1983,
+  title   = {Power, Politics, and MIS Implementation},
+  author  = {Markus, M. Lynne},
+  journal = {Communications of the ACM},
+  year    = {1983},
+  volume  = {26},
+  number  = {6},
+  pages   = {430--444}
+}
+
+@article{orlikowski1992,
+  title   = {The Duality of Technology: Rethinking the Concept of Technology in Organizations},
+  author  = {Orlikowski, Wanda J.},
+  journal = {Organization Science},
+  year    = {1992},
+  volume  = {3},
+  number  = {3},
+  pages   = {398--427}
+}
+
+@report{foundry2024,
+  title     = {State of the CIO Survey 2024},
+  author    = {{Foundry}},
+  year      = {2024},
+  institution = {Foundry}
+}
+
+@article{davenport2018,
+  title   = {Artificial Intelligence for the Real World},
+  author  = {Davenport, Thomas H. and Ronanki, Rajeev},
+  journal = {Harvard Business Review},
+  year    = {2018},
+  volume  = {96},
+  number  = {1},
+  pages   = {108--116}
+}
+
+@article{paleyes2022,
+  title   = {Challenges in Deploying Machine Learning: A Survey of Case Studies},
+  author  = {Paleyes, Andrei and Urma, Raoul-Gabriel and Lawrence, Neil D.},
+  journal = {ACM Computing Surveys},
+  year    = {2022},
+  volume  = {55},
+  number  = {6}
+}
+
+@article{bolton2024,
+  title   = {RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain},
+  author  = {Bolton, William J. and Poyiadzi, Rafail and Morrell, Edward R. and van Bergen Gonzalez Bueno, Gonzalo and Goetz, Lauren},
+  journal = {arXiv preprint},
+  year    = {2024},
+  eprint  = {2403.14578}
+}
+
+@article{ji2023,
+  title   = {Survey of Hallucination in Natural Language Generation},
+  author  = {Ji, Zhijing and Lee, Nayeon and Frieske, Rita and others},
+  journal = {ACM Computing Surveys},
+  year    = {2023},
+  volume  = {55},
+  number  = {12}
+}
+
+@inproceedings{ouyang2022,
+  title     = {Training Language Models to Follow Instructions with Human Feedback},
+  author    = {Ouyang, Long and Wu, Jeffrey and Jiang, Xu and others},
+  booktitle = {Advances in Neural Information Processing Systems},
+  year      = {2022},
+  volume    = {35},
+  pages     = {27730--27744}
+}
+
+@article{crooke2021,
+  title   = {Antisense Technology: A Review},
+  author  = {Crooke, Stanley T. and Liang, Xiaohua H. and Baker, Brenda F. and Crooke, Rosanne M.},
+  journal = {Journal of Biological Chemistry},
+  year    = {2021},
+  volume  = {296},
+  pages   = {100416}
+}
+
+@online{gskjules2024,
+  title   = {JulesOS: GSK’s Agent-Based Operating System},
+  author  = {{GSK.ai}},
+  year    = {2024},
+  url     = {https://www.gsk.ai}
+}
+
+@online{tangram2025,
+  title   = {LLibra OS: Identifying the Right Targets},
+  author  = {{Tangram Therapeutics}},
+  year    = {2025}
+}
+
+@online{gskrambla2024,
+  title   = {RAmBLA: Evaluating the Reliability of LLMs as Biomedical Assistants},
+  author  = {{GSK.ai}},
+  year    = {2024}
+}
+
+@report{ey2025,
+  title     = {How Responsible AI Translates Investment into Impact},
+  author    = {{EY}},
+  year      = {2025},
+  institution = {Ernst \\& Young}
+}
+
+@report{capgemini2024,
+  title     = {Generative AI in Organizations 2024},
+  author    = {{Capgemini Research Institute}},
+  year      = {2024},
+  institution = {Capgemini}
+}
+
+@online{masood2025,
+  title   = {The GenAI Divide: MIT NANDA’s Research on What’s Real, What’s Working, and What Leaders Should Do},
+  author  = {Masood, A.},
+  year    = {2025},
+  note    = {Medium article}
+}