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Where Do You Stand Now on the Maturity Curve?
內容大綱
Technology is constantly changing, and new technologies are regularly being introduced. Business has been revolutionized by various technologies over the past few decades-namely, data science/artifical intelligence (AI) and blockchain. New technologies bring many opportunities with them, but they can also pose challenges for businesses, such as creating new and updated business models and finding the best adoption and digital transformation strategies. This books offers a guide to data science/AI and blockchain, two of the most relevant and important technologies for businesses today. Various topics are covered, including data science processes, AI-based businesses, and types of blockchain. Simple, straighforward descriptions of the technologies are provided along with more thorough explanations on how to effectively use them. By utilizing data science/AI and blockchain, businesses can stay competitive and be a catalyst for positive change. Chapter 7 discusses the maturity curve, a framework used to think about a technology's level of adoption within a business. Adopting emerging technologies tends to require a change in mindset. An organization must analyze its capabilities and the industry's potential to be disrupted by AI and blockchain. AI maturity is a concept that refers to various levels of adoption and looks at how much value a company can derive from AI. Four main components are needed to reach full adoption: knowledge, data, culture, and talent. All four of these are discussed. Questions are offered to help organizations find out if blockchain will be beneficial for them; these questions are categorized into business, technology, and legal questions. Businesses must be mindful of and adapt to technological changes in order to be successful in the future.