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Computer Science - The Theory and Practice of Enterprise AI: Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations

Description

Book Synopsis: Advancements in deep learning, reinforcement learning, and generative AI have dramatically extended the toolkit of machine learning methods available to enterprise practitioners. This book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using these new methods, as well as their use in conjunction with traditional analytics and optimization approaches. The book is written for enterprise data scientists and analytics managers, and will also be useful for graduate students in operations research and applied statistics. The Theory and Practice of Enterprise AI is divided into five parts. Part I introduces the basic concepts of enterprise decision automation, deep learning, generative AI, large language models, and reinforcement learning methods. Part II presents recipes for customer analytics and personalization. Part III describes search, recommendations, knowledge management, and media generation solutions that are focused on content data such as texts and images. Part IV discusses methods for demand forecasting, price optimization, and inventory management. Finally, Part V presents blueprints for anomaly detection and visual inspection that help to improve production and transportation operations. Python code examples are provided in the complementary online repository to support the reader's understanding of the implementation details.

Details

Unlock the power of Enterprise AI with our groundbreaking book, The Theory and Practice of Enterprise AI. Packed with cutting-edge recipes and reference implementations, this comprehensive guide is a must-have for enterprise data scientists and analytics managers looking to revolutionize their marketing, supply chain, and production operations. Stay ahead of the competition by leveraging the latest deep learning, reinforcement learning, and generative AI techniques to optimize your business processes. Order your copy now and take your operations to the next level!

Discover the future of decision automation with our essential resource, The Theory and Practice of Enterprise AI. Whether you're a seasoned professional or a graduate student in operations research, this book will equip you with the knowledge and tools needed to excel in today's data-driven world. Learn how to enhance customer analytics, personalize experiences, and drive demand forecasting with real-world examples and Python code snippets. Elevate your skills and transform your business strategies with this invaluable guide!

Don't miss out on the opportunity to master the latest AI techniques in marketing, supply chain, and production operations. The Theory and Practice of Enterprise AI is your key to unlocking a world of possibilities in enterprise decision-making. With detailed recipes and reference implementations, this book empowers you to harness the full potential of deep learning, generative AI, and reinforcement learning in your day-to-day operations. Take the first step towards success by ordering your copy today!

Ready to revolutionize your approach to enterprise analytics? Dive into the expert insights and practical solutions presented in The Theory and Practice of Enterprise AI. From customer analytics and personalization to demand forecasting and inventory management, this comprehensive guide covers it all. Learn how to leverage the latest AI methods to drive efficiency and innovation in your organization. Order your copy now and start implementing game-changing strategies today!

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