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Select articles from Kavita’s knowledge bank
AI Strategy & The Business Side of AI
One of the questions that often comes…
Word2Vec is a widely used word representation…
What readers around the world say about my posts, books, and tutorials—verbatim
Kavita Ganesan is an AI advisor, strategist, educator, and founder of Opinosis Analytics. She works with senior management teams across the enterprise to help them optimize their business with AI by discovering high-impact AI opportunities and providing a roadmap for implementation.
With over 15 years of experience, Kavita has scaled and delivered multiple successful AI initiatives for fortune 500 companies as well as smaller organizations. She has also helped leaders and practitioners around the world through her blog posts, coaching sessions, and open-source tools.
Kavita holds degrees from prestigious computer science programs, specifically a Masters degree from the University of Southern California, and a Ph.D. from the University of Illinois at Urbana Champaign, with a specialization in Applied Artificial Intelligence.
Kavita has been featured by numerous media outlets including Forbes, CEOWorld, CMSWire, Verizon, SDTimes, Techopedia, and Ted Magazine. To learn more about her frameworks and ideas, get her AI book for business leaders.
Kavita’s select publications
This paper presents a new unsupervised approach to generating ultra-concise summaries of opinions. We formulate the problem of generating such a micropinion summary as an optimization problem, where we seek…
The Opinosis Summarization framework focuses on generating very short abstractive summaries from large amounts of text. These summaries can resemble micropinions or “micro-reviews” that you see on sites like twitter…
Traditional web search engines enable users to find documents based on topics. However, in finding entities such as restaurants, hotels and products, traditional search engines fail to…