Short Bio
Kavita Ganesan is the author of The Business Case for AI and the founder of Opinosis Analytics, a consulting firm specializing in AI strategy and implementation for global companies.
As an AI strategist and architect, she holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign and a master’s degree from the University of Southern California, with deep expertise in applied AI, NLP, and search technologies. Kavita has been featured in top publications, including Forbes, VentureBeat, and CMSWire, for her insights on AI adoption.
With nearly 20 years of experience, Kavita Ganesan is widely recognized as a top-tier AI strategist, especially within the domain of business transformation and enterprise AI adoption. Kavita has successfully led AI initiatives for Fortune 500 companies, including eBay, 3M, and GitHub, and has collaborated with global organizations such as McKesson, the U.S. Department of Energy, and the University of Sydney. She has guided clients across healthcare, technology, energy, and government sectors in navigating AI implementation and developing data-driven strategies to drive business success.
To learn more about Kavita’s work, visit Opinosis-Analytics.com or connect with her on LinkedIn.
Featured in:
Full Bio
Kavita Ganesan is a Chief AI Strategist & Architect and the founder of Opinosis Analytics, an AI consulting company that delivers high-impact AI strategies and custom AI solutions to companies globally. Kavita is also the author of the internationally recognized, award-winning book, The Business Case for AI.
Kavita’s expertise lies in helping organizations identify investment-worthy AI opportunities, navigate AI implementation challenges, architect robust AI solutions, and develop data-driven strategies. Known for her clear, jargon-free, and actionable approach, she is a trusted advisor for businesses looking to leverage AI effectively. Her insights are frequently referenced as a blueprint for AI success.
With nearly 20 years of experience, Kavita Ganesan is widely recognized as a top-tier AI strategist, especially within the domain of business transformation and enterprise AI adoption. Kavita has successfully scaled and delivered AI initiatives for Fortune 500 companies like eBay, 3M, and GitHub. With her team at Opinosis Analytics, she has facilitated AI integration across different sectors such as healthcare, technology, energy, and government, gaining a deep understanding of each industry’s unique challenges. Notable global clients include McKesson, IBL Together, the US Department of Energy, and the University of Sydney.
Kavita holds graduate degrees from top computer science programs in the U.S.—a master’s degree from the University of Southern California and a PhD from the University of Illinois at Urbana-Champaign—specializing in applied AI, NLP, and search technologies. As an AI expert, Kavita has been featured by numerous media outlets, including Forbes, VentureBeat, CMSWire, Verizon, SDTimes, Techopedia, and Ted Magazine.
Kavita is on a mission to change the status quo of AI in business. She strives for more wins in AI adoption through sound strategies and education to help organizations gain the competitive edge needed to thrive and grow.
To learn more about how Kavita has helped clients worldwide, visit Opinosis-Analytics.com or connect with her on LinkedIn.
Media Coverage
- The CEO Magazine – How the rise of AI will change your leadership MO
- TechTarget – Benefits of AI
- TechTarget – How AI Changes Quality Assurance
- InformationToday — AI for Content Creation
- VentureBeat — 4 AI trends: It’s all about scale in 2022 (so far)
- E-crypto News —[Interview] Kavita Ganesan Founder of Opinosis Analytics Talks to Us About Her New Book and All Things AI
- com! Professional — Onboarding and AI
- ToolboxHR — Why Natural Language Processing Will Steer the AI Ship: Experts’ Take
- Reworked — The Role of Data Governance in Regulating AI
- CIOReview — Opinosis Analytics: Getting the Most out of AI
- CMSWire — What should an AI-driven search engine be able to do?
- SDTimes— How GitHub developed its Topics feature
- Verizon — Yes, AI talent is leaving universities for big business. But that might not be a bad thing.
- Techopedia—What are some key ways to automate and optimize data science processes?
- Call Miner — 24 AI Professionals & Ethics Experts Reveal the Most Overlooked Obstacles for Companies When It Comes to AI Ethics/AI Bias
- tED Magazine — 5 Ways to Leverage Your Distributorship’s Unstructured Data
- LucidWorks — 3 Common Data Challenges That Hamper Your Customer’s Search Experience
- LucidWorks— Why Businesses Face Barriers to AI Adoption
- Travel Daily Media — Performance-enhancing AI and data science in hospitality
- Re.Work — 20+ Pieces Of Advice From AI Experts To Those Starting Out In The Field
- GoSkills — Big Data for Beginners: What You Need to Know
- AltexSoft — How the Hospitality Industry Uses Performance-enhancing Artificial Intelligence and Data Science
- SHRM—Practical Implications of Speech Technology in HR
- LifeWire—AI Could Help You Understand Animal Speech
- com! professional—AI in onboarding (german)
Book Review
- Forbes —‘The Business Case For AI’ Is A Good Management Introduction To Real-World Artificial Intelligence
- Ramos Writer — ‘Our automated future: The best books on AI that tell the truth about what’s to come’
- Customer Contact Week — ‘Kavita Ganesan’s no-fluff book helps make the AI conversation a whole lot easier.‘
- Charles Hoskinson’s AMA — Co-Founder of the Ethereum blockchain platform recommends The Business Case for AI
Invited Guest Articles
CEOWorld
Recruiter.com
KDNuggets
Female Tech Leaders
GitHub Engineering
- Topic suggestions for million of repositories
- C# or Java? TypeScript or JavaScript? Machine learning-based classification of programming languages
News
- Yahoo! News—The 5 Q’s: Erin Slifka promotes Joplin chamber’s tech summit
- Speakers announced for Chamber’s Regional Innovation & Technology Summit
- Elite AI Thought Leaders Headlining COO Forum® Atlanta Coffee Social
