AI Strategy • Transformation • Best Practices

Kavita Ganesan is a trusted advisor, consultant, author, and speaker helping businesses integrate AI strategically to improve operational efficiency, boost revenues, and enhance the customer experience.

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“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.”

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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

Findilike: Preference Driven Entity Search

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 suffice as users …
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