Wikipedia

Kavita Ganesan

Kavita Annapoorani Ganesan is a Malaysian-born author, data scientist and AI consultant known for her research in the fields of artificial intelligence, machine learning, and natural language processing.[1] She wrote the book, The Business Case for AI and founded the company Opinosis Analytics.[2][3] Her works have been cited over 1500 times according to Google Scholar.[1]

Kavita Gnesan
Education
Occupation(s)Author, data scientist, AI Consultant
Years active2012-present
Websitewww.kavita-ganesan.com

Education

edit

Ganesan has a master’s degree in computer science from the University of Southern California and a Ph.D. in computer science and machine learning from the University of Illinois Urbana-Champaign.[4]

Career

edit

Ganesan worked as a scientist for the software development platform GitHub.[5][4] In 2017, she brought the first machine learning (ML) pipeline to GitHub with the launch of GitHub Topics.[6][7] While working at GitHub, Ganesan founded the Utah-based AI and machine learning company Opinosis Analytics.[4][8][9]

In 2021, Ganesan was nominated for the Rising Star Award at VentureBeat’s Women in AI Awards.[10]

In 2022, Ganesan published the book The Business Case for AI: A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications.[11]

In 2023, her book The Business Case for AI was the runner up in the San Francisco Book Festival’s Technology category[12] and also  won Gold Medal in Business Life Category in the2023 Global Book Awards.[13] The book also won an award in the 2nd Quarter 2023 Firebird Book Awards.[14]

Research

edit

Ganesan’s background is in natural language processing (NLP), search technologies, and machine learning.[15] Her work has been cited in over 1500 papers.[1]

Ganesan has researched applications for artificial intelligence in fields such as knowledge management[16] and search engines.[17][14]

In addition to her research on artificial intelligence, Ganesan has also researched topics such as record linkage,[18] data analysis for clinical notes[19] and written opinions,[20][21] and data mining for e-commerce.[22]

Ganesan has patents for software systems and methods used for visualizing reputation ratings,[23] activity-based recommendations,[24] and search clustering.[25]

Selected publications

edit
  • Ganesan, K. (2022). The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications. United States: Opinosis Analytics Publishing. ISBN 9781544528717
  • Ganesan, K., Zhai, C., & Han, J. (2010, August). Opinosis: A graph based approach to abstractive summarization of highly redundant opinions. In Proceedings of the 23rd international conference on computational linguistics (Coling 2010) (pp. 340–348).
  • Ganesan, K., & Zhai, C. (2012). Opinion-based entity ranking. Information Retrieval, 15, 116-150.
  • Ganesan, K., Zhai, C., & Viegas, E. (2012, April). Micropinion generation: an unsupervised approach to generating ultra-concise summaries of opinions. In Proceedings of the 21st International Conference on World Wide Web (pp. 869–878).
  • Ganesan, K. (2018). Rouge 2.0: Updated and improved measures for evaluation of summarization tasks. arXiv preprint arXiv:1803.01937.
edit

References

edit
  1. ^ a b c "Kavita Ganesan". scholar.google.com. Retrieved 2023-11-04.
  2. ^ "4 AI trends: It's all about scale in 2022 (so far)". VentureBeat. 2022-07-07. Retrieved 2023-11-04.
  3. ^ "12 key benefits of AI for business". Enterprise AI. Retrieved 2023-11-04.
  4. ^ a b c "Yes, AI talent is leaving universities for big business. But that might not be a bad thing". verizon.com. 2018-09-05. Retrieved 2023-11-04.
  5. ^ "Performance-enhancing AI and data science in hospitality". traveldailymedia.com. 2018-09-20. Retrieved 2023-11-04.
  6. ^ Moore, Madison (2017-08-03). "How GitHub developed its Topics feature". SD Times. Retrieved 2023-11-04.
  7. ^ Ganesan, Kavita (2017-07-31). "Topic Suggestions for Millions of Repositories". The GitHub Blog. Retrieved 2023-11-04.
  8. ^ "The Role of Data Governance in Regulating AI". reworked.co. Retrieved 2023-11-04.
  9. ^ Grensing-Pophal, Lin (2022-09-08). "Practical (and Scary) Implications of Speech Technology in HR". SHRM. Retrieved 2023-11-04.
  10. ^ "Announcing nominees for the 2021 Women in AI Awards". VentureBeat. 2021-07-14. Retrieved 2023-11-04.
  11. ^ Ganesan, Kavita (2022). The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications. Opinosis Analytics Publishing. ISBN 978-1-5445-2871-7.
  12. ^ "San Francisco Book Festival". www.sanfranciscobookfestival.com. Retrieved 2023-11-11.
  13. ^ "The Global Book Awards". globalbookawards2023a.spread.name. Retrieved 2023-11-11.
  14. ^ a b Ganesan, Kavita; Zhai, Chengxiang (2013). "FindiLike: A preference driven entity search engine for evaluating entity retrieval and opinion summarization". Proceedings of the 2013 workshop on Living labs for information retrieval evaluation. pp. 19–22. doi:10.1145/2513150.2513163. ISBN 978-1-4503-2420-5. S2CID 16400707.
  15. ^ "Revolutionize Your Business Strategy: Harnessing AI Potential With Expert Kavita Ganesan". &CO. 2023-07-14. Retrieved 2023-11-11.
  16. ^ Gordon, Andrew S.; Ganesan, Kavita (2005). "Automated story capture from conversational speech". Proceedings of the 3rd international conference on Knowledge capture. pp. 145–152. doi:10.1145/1088622.1088649. ISBN 1-59593-163-5. S2CID 1003623.
  17. ^ Sundaresan, Neel; Ganesan, Kavita; Grandhi, Roopnath (2007). "Multi-factor clustering for a marketplace search interface". Proceedings of the 16th international conference on World Wide Web. pp. 1181–1182. doi:10.1145/1242572.1242755. ISBN 978-1-59593-654-7. S2CID 9546591.
  18. ^ "EntityBases: Compiling, Organizing and Querying Massive Entity Repositories". scholar.google.com. Retrieved 2023-11-21.
  19. ^ Ganesan, Kavita; Lloyd, Shane; Sarkar, Vikren (January 2016). "Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes: Supplementary Issue: Big Data Analytics for Health". Biomedical Engineering and Computational Biology. 7s2 (Suppl 2): 27–33. doi:10.4137/BECB.S36155. PMC 5015701. PMID 27656096.
  20. ^ Ganesan, Kavita (16 January 2014). Opinion driven decision support system (Thesis). hdl:2142/46628.[page needed]
  21. ^ Ganesan, Kavita; Zhai, Chengxiang; Viegas, Evelyne (2012). "Micropinion generation: An unsupervised approach to generating ultra-concise summaries of opinions". Proceedings of the 21st international conference on World Wide Web. pp. 869–878. doi:10.1145/2187836.2187954. ISBN 978-1-4503-1229-5. S2CID 16144861.
  22. ^ Ganesan, Kavita A.; Sundaresan, Neelakantan; Deo, Harshal (2008). "Mining tag clouds and emoticons behind community feedback". Proceedings of the 17th international conference on World Wide Web. pp. 1181–1182. doi:10.1145/1367497.1367716. ISBN 978-1-60558-085-2. S2CID 21505177.
  23. ^ US11763356B2, Sundaresan, Neelakantan; Ganesan, Kavita & Deo, Harshal Ulhas, "Visualization of reputation ratings", issued 2023-09-19 
  24. ^ US20180288177A1, Deo, Harshal Ulhas; Ganesan, Kavita & Dhanaraj, Monica, "Methods and systems for activity-based recommendations", issued 2018-10-04 
  25. ^ US20140040269A1, Sundaresan, Neelakantan; Ganesan, Kavita & Grandhi, Roopnath, "Search clustering", issued 2014-02-06 
Retrieved from "https://en.wikipedia.org/w/index.php?title=Kavita_Ganesan&oldid=1195634883"