Strategic AI in ERP (PaperBack)
I have spent 18 years within the ERP space, working and consulting for some of the major Fortune 500 companies. As someone deeply immersed in understanding ERP complexities, I've seen firsthand that improper implementations can lead to significant setbacks and damage, which are heavy for enterprises. With onset of AI, there has been buzz in the space of ERP and lot of my peers, friends from industry kept on asking me what the best approach is, which LLM to select, which ERP AI. AI is more than technology. It is a strategic differentiator. Continual AI driven innovation can become an effective strategy for companies to protect their business, innovate their business, and disrupt their competitive environments. AI differentiation requires organizational alignment around a strategic vision, which, while tied to the realities of the market, is also capable of transcending a business model domain to drive positive disruption. But in order to meaningfully exploit the insights and capabilities that AI provides, companies need to also implement a foundation for their enterprises, that leverages best in class processes coupled with strong data management/governance, industry leading security controls, and scalable infrastructure.
Strategic AI in ERP" is a guidebook for forward-thinking leaders who are ready to embrace the future of business technology. The book is divided into five sections , with last one highlighting top 50 uses cases.
Part I: The Power of AI - This section explores the transformative potential of AI beyond its role as a technological tool, positioning it as a strategic imperative within ERP systems. It discusses how AI can reshape industries by turning data into strategic insights, driving significant business outcomes, and enhancing decision-making processes.
Part II: Leading with AI in the ERP Landscape - Focusing on the leadership aspects, this part addresses how AI integration transforms ERP systems into more dynamic, intelligent, and essential tools in the business environment. It highlights the necessity of breaking down business silos to foster a unified approach towards AI-driven ERP solutions.
Part III: From Idea to Execution: Strategic Selection of AI Technologies - This practical guide provides a step-by-step approach to selecting the right AI technologies for integration with ERP systems. It covers setting the stage for integration, developing a comprehensive strategy, and addressing common pitfalls to avoid during AI adoption.
Part IV: Putting AI into Action with Next-Gen ERP - The final part discusses the actual implementation of AI within ERP systems, focusing on creating next-generation ERP solutions that are agile, insightful, and capable of driving significant business transformations. It includes case studies and real-world examples to illustrate the successful application of AI in various business contexts.
