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to lead a competitive and profitable business with AI

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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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Mercedes Benz

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Dataiku

Brown-Forman

Ford Motors

Ernst & Young

Amazon

Adani Group

Universiti Sains Malaysia

Expedia

PayPal

Canadian Govt. Agencies

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About Kavita

Kavita Ganesan is an AI practitioner, advisor, educator, and founder of Opinosis Analytics. She advises senior management and technology teams across the enterprise to help them successfully integrate AI for meaningful business outcomes.

With over 15 years of experience, Kavita has managed, 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 NLP, Machine Learning, and Information Retrieval (Search).

Kavita has been featured as an expert 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.



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Academic 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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