7 books on AI for Enterprise [PDF]

Updated: March 14, 2024

Books on AI for Enterprise serve as invaluable resources for startups engaged in developing AI solutions for enterprise-level applications. These resources offer a comprehensive understanding of how artificial intelligence can be integrated into various facets of business operations, including data analytics, process automation, decision support, and customer engagement. They provide insights into the latest AI trends, emerging technologies, and best practices for addressing the unique challenges faced by large organizations. Moreover, these books often feature case studies, illustrating real-world implementations of AI in enterprise environments, enabling startups to learn from successful initiatives.

1. ChatGPT for Enterprise: Using Generative AI to bring AI to business
2023 by Jothi Periasamy



"ChatGPT for Enterprise: Using Generative AI to bring AI to business" is an illuminating guide that seamlessly integrates large language models (LLM) into corporate workflows, transforming the realm of Generative AI into a tangible reality. Drawing on in-depth analyses of case studies spanning diverse industries, such as retail, energy, and education, this book unravels the entire journey from conceptualization to practical implementation. Readers will gain profound insights into the intricacies of designing and constructing business applications empowered by ChatGPT and GPT. To expedite the deployment of LLM through GPT and ChatGPT modules, the book provides valuable GitHub links, as well as step-by-step procedures for module development, testing, fine-tuning, and deployment on the Google Cloud Platform (GCP). While catering to both business and technical audiences, the book primarily targets individuals interested in harnessing CGPT or ChatGPT models for Generative AI or LLM. Whether you're a seasoned professional or a newcomer to the world of Generative AI and LLM, this book serves as an excellent foundation for comprehending fundamental concepts and executing advanced use cases using the Google Cloud Platform.
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2. Artificial Intelligence for Business
2023 by The Knowledge Press



"Artificial Intelligence for Business" offered by The Knowledge Press serves as a practical handbook, demystifying the fundamentals of AI and its prospective applications within the corporate landscape. This guide delivers a comprehensive overview of AI and its diverse techniques, encompassing machine learning, natural language processing, and computer vision. It goes beyond theory, presenting case studies and tangible instances to demonstrate how AI is presently optimizing various business operations, spanning from customer support to supply chain management. Furthermore, the book delves into the ethical considerations entailed in AI adoption and explores its potential ramifications on the future of employment. Whether you're a seasoned business practitioner or an eager student, this publication is an indispensable resource for those seeking to leverage AI's potential for achieving business excellence.
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3. The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable
2020 by Seth Earley



"The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable" provides a comprehensive guide to leveraging artificial intelligence and ontologies to gain a significant competitive edge in your organization. This book delves into two pivotal questions: Firstly, it explores the ways in which the future will be shaped by artificial intelligence, and secondly, it outlines the strategic actions that companies must take to secure their position in this AI-driven future. Just as the advent of the internet transformed customer behavior and entire industries in the mid-90s, artificial intelligence is poised to usher in another profound revolution in how companies create and deliver value to their customers. However, despite substantial investments in AI tools and technologies, many organizations struggle to harness its full potential. The missing piece of the puzzle is understanding the essence of the business. An ontology, a comprehensive digital model encompassing all critical business information, ranging from processes and products to personnel, bridges this gap and distinguishes between the mere promise of AI and its actual realization. Business leaders seeking to ride the AI wave, rather than be left behind, will find "The AI-Powered Enterprise" indispensable. This pioneering book not only offers a sophisticated explanation of AI principles but also provides a practical framework for applying AI solutions to a wide array of business challenges, from enhancing customer experiences and optimizing business operations to streamlining product development processes.
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4. Enterprise Artificial Intelligence Transformation
2020 by Rashed Haq



"Enterprise Artificial Intelligence Transformation" is an illuminating exploration of the pervasive influence of AI in our modern world. With AI technology permeating diverse domains, from healthcare to automobiles and even household appliances, it's evident that AI's transformative potential is boundless. This book underscores how AI, by performing tasks at a human level, is poised to reshape our world fundamentally. Consequently, mastering AI has become a highly coveted skill for tech professionals. Rashed Haq, an AI and data science expert with over a decade of experience in developing AI and data science strategies, platforms, and applications for Publicis Sapient's clients, imparts his valuable insights in this groundbreaking book. "Enterprise Artificial Intelligence Transformation" is a pioneering resource that empowers technology leaders to establish and expand their AI capabilities, propelling their organizations into the forefront of the technological landscape. As AI increasingly becomes an indispensable feature for businesses, leaders are eager to integrate this technology into their operations. In this comprehensive guide, leaders will gain expertise in AI fundamentals, open doors to career advancement, and foster confidence in machine learning. The book encompasses a wide spectrum of topics, including real-world AI applications and illustrations, machine learning, deep learning, semantic modeling, risk management of AI models, strategies for AI development and growth, and the creation and management of AI Centers of Excellence. Whether you're an industry professional, business leader, or technology enthusiast aiming to acquire the skills necessary for enhancing your machine learning capabilities and effectively scaling your existing work, "Enterprise Artificial Intelligence Transformation" offers the guidance you need to thrive in the AI-powered era.
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5. Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects
2020 by Neal Fishman, Cole Stryker



"Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects" unveils the path to making data science an efficient, reliable tool that empowers business professionals to extract maximum value from their data. Enterprise-level data and AI initiatives often suffer from fragmentation, inadequate planning, isolation, and an inability to adapt to evolving business needs, leading to their high failure rates. This book offers a precise roadmap to sidestep these costly pitfalls. Data science is no longer the exclusive domain of data scientists; it has become a practical resource for business professionals, including managers, directors, IT leaders, and analysts. To maintain a competitive edge, organizations must broaden their utilization of data science capabilities, and "Smarter Data Science" equips them to achieve their ambitions in enterprise-level data projects and AI endeavors. It serves as a comprehensive guide for establishing a robust information architecture program that facilitates sustainable and scalable AI implementations. By mastering data management, organizations can transform their data science initiatives into fully scalable functions that are both prescriptive and reproducible. Armed with an understanding of data science fundamentals, practitioners are empowered to lead their organizations in the successful development and deployment of viable AI solutions.
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6. The AI Advantage: How to Put the Artificial Intelligence Revolution to Work
2019 by Thomas H. Davenport



In "The AI Advantage," Thomas Davenport presents a practical guide for integrating artificial intelligence into business operations. He navigates through the AI hype that once led to extravagant claims, such as IBM's Watson curing cancer, and focuses on how companies can leverage AI technologies to achieve tangible business benefits and maintain a competitive edge. Davenport's core recommendation is to target achievable goals rather than aiming for moonshot projects. He emphasizes that AI's real value lies in enhancing efficiency, improving products and processes, and enhancing decision-making, often in less conspicuous ways. AI won't replace human workers but will complement their capabilities, fostering collaboration between intelligent machines and humans. The book explores various AI technologies, their applications, and offers insights into how companies like Amazon and Google utilize AI. Davenport encourages businesses to experiment with these technologies and cultivate their AI expertise, ultimately guiding them toward becoming cognitive corporations. This book serves as an invaluable roadmap for businesses looking to navigate the practical realities of AI in the corporate world.
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7. AI Blueprints: How to build and deploy AI business projects
2018 by Dr. Joshua Eckroth



In "AI Blueprints: Constructing and Implementing AI Business Solutions," you will acquire a structured framework and the methodologies required to develop your own prosperous AI-driven business applications. The book delves into six distinct business scenarios, illustrating how AI can effectively address pressing challenges by leveraging cutting-edge AI software libraries and a meticulously planned workflow. Throughout this journey, you will gain invaluable insights into the practical strategies for creating AI business applications, spanning from initial design to comprehensive coding and seamless deployment. These AI blueprints offered within this book provide practical solutions to pivotal business scenarios. The initial blueprint harnesses AI capabilities to streamline cloud computing project management, ensuring timeliness and cost-efficiency. The second blueprint centers on an AI system designed for continuous monitoring of social media, enabling the evaluation of public sentiment toward topics like autonomous vehicles. By exploring these AI business challenges and applying the provided blueprints, you will be well-equipped to achieve success in AI-driven ventures.
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