Data and AI can do more for a business than make existing operations run faster. In Growth Reinvented, Mika Ruokonen turns attention to the commercial question: how can companies shape data and AI capabilities into things customers will pay for? The focus is on business models, new offerings, and revenue—not a technical manual on building algorithms.
Make the business case for data and AI
The book explores how organizations can create, deliver, and capture value by changing what they sell and how they earn revenue. It considers data and AI as potential foundations for new products and services, as well as commercial components within broader solutions.
From possibility to commercial model
Ideas about “new business models” are easy to state and harder to put into practice. Ruokonen addresses that gap with a practical playbook and real-world company examples. The discussion brings business and technology considerations together, helping readers think through questions of customers, markets, offers, pricing, and revenue models.
Growth beyond the existing offer
Rather than treating AI and data solely as tools for cost reduction or improvements to current products, the book considers how they might support new sources of growth and wider business change. It also examines the strategic choice between building on an existing business and pursuing a more transformative opportunity.
Who may find it useful?
This book is relevant to business leaders, strategists, and professionals involved in digital innovation, product development, or data and AI commercialization. It is also suited to readers seeking a business-focused framework for discussing how technology can become a viable customer offer.
Growth Reinvented offers a commercially grounded way to consider a pressing question: not just what data and AI can do, but how a company might build a business around them.
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