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Read The Business Case For AI

“This is a great executive and leadership level book about AI for today. I like how Kavita sets the context at the beginning of what AI is and isn’t in its current state. The “Get the Ideas Flowing” part definitely did that for me. I’ve always thought of AI as what we did with the data at the end but in the section on using AI to set the stage for intelligent data analytics to enrich and standardize your data and then feed that into business intelligence dashboards, you may already have in place to run your business really got me thinking. This book is definitely needed and should be on your bookshelf.”
—Amazon Reader
Recent Posts
Select articles from Kavita’s knowledge bank
AI Strategy & The Business Side of AI
GPT-3: What is GPT-3 and what can it do for your business?
What went wrong with Tay, the Twitter bot that turned racist?
3 Strategic Mistakes Leaders Can Easily Avoid When Thinking About AI Integration
How Sentiment Analysis Keeps Your Brand in Check (and How to Get Started)
Even if AI is Your Goal, Why Starting Without AI Improves Outcomes
15 Common AI Problem Types
Technical Implementation
A Gentle Introduction to Deep Neural Networks with Python
FastText vs. Word2vec: A Quick Comparison
One of the questions that often comes…
Word2Vec: A Comparison Between CBOW, SkipGram & SkipGramSI
Word2Vec is a widely used word representation…
Reader Feedback
What readers around the world say about my posts, books, and tutorials—verbatim

About Kavita
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.
Academic Publications
Kavita’s select publications
Comprehensive Review of Opinion Summarization
Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
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…
Opinion-Driven Decision Support System (ODSS)
Opinion Driven Decision Support is a term that I coined as part of my Ph.D. thesis refering to the use of large amounts of online opinions to…