Enterprise AI: Strategic Blueprint for Purple People (eBook, ePUB)

Sofort per Download lieferbar

7,49 €

inkl. MwSt.

Jetzt bewerten

Alle Infos zum eBook verschenken

PAYBACK Punkte

0 °P sammeln!

Weiterlesen / Aufklappen

The book "Enterprise AI: Strategic Blueprint for Purple People" provides a strategic blueprint for organizations looking to harness the transformative potential of Artificial Intelligence (AI) in their business operations. The Enterprise AI Transformation Framework (EAITF) introduced in the book is a structured approach that integrates AI into enterprise decision-making, automation, and intelligence processes, leading to increased efficiency and competitive advantage. At the core of the EAITF is the concept of Decision Domain Management (DDM), which optimizes both cognitive (strategic decision-making) and non-cognitive (routine tasks) functionalities within an enterprise through AI-driven solutions. The framework emphasizes the synergy between automation and intelligence, ensuring that every AI initiative aligns profoundly with the enterprise's overarching objectives. The book outlines a step-by-step structure for organizations to perform Decision Domain Profiling, which evaluates various business processes for their AI readiness. It introduces a multi-dimensional scoring system that assesses domains across measurable criteria such as strategic alignment, process maturity, data quality, and AI readiness. This quantitative analysis allows enterprises to prioritize which domains would benefit most from AI implementation. A key methodological tool within the EAITF is Principal Component Analysis (PCA), which simplifies complex, multidimensional data to uncover the most significant factors informing AI initiatives. The PCA process selects principal components-variables that embody the largest variance and core information of the given data set. This forms the foundation for deriving the AI Effectiveness Index, a quantifiable metric that ranks decision domains based on their potential impact on revenue generation and cost saving. Chapter 7 of the book presents a hands-on demonstration of implementing EAITF using Python programming. It guides the reader through preparing seed data, standardizing and weighting scores, and calculating correlation matrices to derive the AI Effectiveness Index. This offers a template for data-driven decision-making and strategic prioritization of AI projects within enterprises. The guide also stresses the importance of ethical considerations, responsible AI use, and the ongoing commitment to continuous learning and adaptation. The EAITF is designed to be dynamic, accounting for the rapid evolution in AI technology and its applications in the enterprise environment. In conclusion, the EAITF serves not only as a guidebook but also inspires a transformative vision. It empowers organizations to navigate the intricate journey of AI integration, driving innovation and creating sustainable value in an increasingly digital world. The book is supported by references and literature from thought leaders like Davenport, Simon, and Kurzweil, alongside resources that focus on the technicalities of data quality, machine learning operations, and decision support systems. As AI reshapes business operations, the EAITF emerges as a crucial companion, illuminating the path for enterprises to embrace a more intelligent and data-driven future. With its well-outlined strategy and tactical insights, businesses are well-positioned to unlock AI's potential and chart a course toward transformative success.

Weniger Details

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Mahmudur R. Manna is a technologist, innovator, and philosopher with over two decades of experience in the fields of Business Intelligence (BI), Data Warehousing, and AI-driven enterprise solutions. But beneath his technical achievements lies a deep, lifelong quest to understand the profound questions of existence, faith, and human nature.

From his childhood, Manna was captivated not just by the logical frameworks of computers but by the complexities of theology and philosophy. Growing up, he fostered close relationships with people from various spiritual and religious traditionsMuslims, Hindus, Buddhists, and Christians alikeseeking to understand the fabric of belief that guides human life. He spent time with monks, religious scholars, and community leaders, immersing himself in their teachings, ideas, and lifestyles. This early exploration drove Manna's lifelong quest to find the constants in life, much like one searches for constants in science, by observing and experiencing the many variables of human existence.

Manna's academic and career journey reflects this sense of experimentation and discovery. After completing 11th grade, he took a detour from traditional education, joining an Islamic Deobandi curriculum, only to later switch to the English Edexcel curriculum. His eclectic career spans seven entrepreneurial ventures and specialist roles at leading Fortune 500 companies and Big 4 firms. Throughout his professional life, Manna has balanced his technical innovationssuch as his pioneering work in Data Warehousing and AIwith his philosophical curiosity about the human condition.

His career, marked by entrepreneurial bootstrapping and a deep dive into enterprise solutions, mirrors his personal philosophy of starting from scratch and adapting to new contexts. Manna has switched roles in 17 companies and worked across Europe, immersing himself in both city and rural life, and observing the people he encountered along the way. Each change in his professional and personal life is part of an ongoing experiment to identify the "constant" of life amid the shifting "variables."