Biography:Kavita Ganesan

From HandWiki
Short description: Malaysian-born author and data scientist
Kavita Gnesan
Education
OccupationAuthor, data scientist, AI Consultant
Years active2012-present
Websitewww.kavita-ganesan.com

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]

Education

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

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

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

  • 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.

External links

References

  1. 1.0 1.1 1.2 "Kavita Ganesan". https://scholar.google.com/citations?user=FXnCLzMAAAAJ&hl=en&oi=ao. 
  2. "4 AI trends: It's all about scale in 2022 (so far)" (in en-US). 2022-07-07. https://venturebeat.com/ai/4-ai-trends-its-all-about-scale-in-2022-so-far/. 
  3. "12 key benefits of AI for business" (in en). https://www.techtarget.com/searchenterpriseai/feature/6-key-benefits-of-AI-for-business. 
  4. 4.0 4.1 4.2 "Yes, AI talent is leaving universities for big business. But that might not be a bad thing." (in en). 2018-09-05. https://www.verizon.com/about/our-company/fourth-industrial-revolution/yes-ai-talent-leaving-universities-big-business-might-not-be-bad-thing. 
  5. "Performance-enhancing AI and data science in hospitality". 2018-09-20. https://www.traveldailymedia.com/performance-enhancing-ai-data-science-hospitality/. 
  6. Moore, Madison (2017-08-03). "How GitHub developed its Topics feature" (in en-US). https://sdtimes.com/github/github-topics-feature/. 
  7. Ganesan, Kavita (2017-07-31). "Topic Suggestions for Millions of Repositories" (in en-US). https://github.blog/2017-07-31-topics/. 
  8. "The Role of Data Governance in Regulating AI" (in en-us). https://www.reworked.co/information-management/why-regulating-ai-is-going-to-be-a-challenge/. 
  9. Grensing-Pophal, Lin (2022-09-08). "Practical (and Scary) Implications of Speech Technology in HR" (in en-US). https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/practical-and-scary-implications-of-speech-technology-in-hr.aspx. 
  10. "Announcing nominees for the 2021 Women in AI Awards" (in en-US). 2021-07-14. https://venturebeat.com/ai/announcing-nominees-for-the-2021-women-in-ai-awards/. 
  11. Ganesan, Kavita (2022) (in en). 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. https://books.google.com/books?id=Vn34zgEACAAJ. 
  12. "San Francisco Book Festival". http://www.sanfranciscobookfestival.com/winners_2023.htm. 
  13. "The Global Book Awards". https://globalbookawards2023a.spread.name/. 
  14. 14.0 14.1 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. 
  15. "Revolutionize Your Business Strategy: Harnessing AI Potential With Expert Kavita Ganesan" (in en-AU). 2023-07-14. https://www.cjco.com.au/article/news/revolutionize-your-business-strategy-harnessing-ai-potential-with-expert-kavita-ganesan/. 
  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. 
  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. 
  18. "EntityBases: Compiling, Organizing and Querying Massive Entity Repositories.". https://scholar.google.com/citations?view_op=view_citation&hl=en&user=FXnCLzMAAAAJ&cstart=20&pagesize=80&citation_for_view=FXnCLzMAAAAJ:qjMakFHDy7sC. 
  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. 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. 
  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. 
  23. , Neelakantan; Kavita Ganesan & Harshal Ulhas Deo"Visualization of reputation ratings" patent US11763356B2, issued 2023-09-19
  24. , Harshal Ulhas; Kavita Ganesan & Monica Dhanaraj"Methods and systems for activity-based recommendations" patent US20180288177A1, issued 2018-10-04
  25. , Neelakantan; Kavita Ganesan & Roopnath Grandhi"Search clustering" patent US20140040269A1, issued 2014-02-06