[Book] Demand and Forecasting Technology by Predictive AI / Generative AI (No. 2355)
2355 Predictive AI / Generative AI
[Available for preview] - Demand forecasting, marketing, logistics, anomaly detection, failure prediction, material exploration, synthesis prediction -
Book Title: Demand and Various Forecasting Techniques and Utilization Methods with Predictive AI / Generative AI+ －－－－－－－－－－－－－－－－－－－－－ ☆What are the effective data to maximize forecasting accuracy!! ☆Not just for improving operational efficiency and reducing costs! Utilization methods that support rapid and flexible decision-making! －－－－－－－－－－－－－－－－－－－－－ ■Key Points of This Book ◎Predictive AI and Generative AI have different characteristics! ◎How to combine them to maximize their potential! Demand Forecasting ・How to implement AI demand forecasting and utilize external data ・How to embed AI in the field and integrate it with human insights and decision-making ・The quality and quantity of training data necessary to enhance the accuracy of predictions and judgments ・A purpose-driven approach to effectively utilize predictive AI Marketing ・How to simplify the insight extraction process that relied on the expertise and tacit knowledge of personnel ・The future's signs are hidden in unstructured data such as text and images ・Utilization methods to advance decision-making even in uncertain times
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basic information
Material Property Prediction and Synthesis Condition Prediction - Generation of experimental data used for training prediction AI - How to quantify material information that significantly affects prediction accuracy - Improvement of interpretability capturing the predictability of extrapolation areas and interactions between compounds - Methods to address situations where experimental data is scarce and sufficient accuracy cannot be achieved Logistics - How to break away from excessive inventory and inefficient production and logistics planning - How to create plans without relying on traditional "intuition and experience" - Prompts that generate efficiency and high added value in the logistics department ■ Table of Contents Chapter 1: Basics of AI Prediction Technology Chapter 2: Data and Optimal Prediction Models Chapter 3: Demand Forecasting and Use Cases Chapter 4: Introduction and Utilization in Marketing Operations Chapter 5: Application in Logistics (such as traffic volume prediction and delivery planning) Chapter 6: Anomaly Detection, Failure Prediction, and Lifespan Prediction Chapter 7: Introduction and Utilization in Research and Development Operations Chapter 8: Decision Making and Considerations －－－－－－－－－－－－－－－－－－－－－ ● Publication Date: June 30, 2026 ● Format: A4 size, 388 pages ● Authors: 43 individuals ● ISBN: 978-4-86798-155-9 －－－－－－－－－－－－－－－－－－－－－
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88,000 yen (including tax) [shipping included] Various discount programs are available. Please contact us.
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The Technical Information Association is engaged in the work of shaping information for engineers and researchers. We research what kind of information engineers and researchers active in fields such as "research and development," "materials," "electronics," and "pharmaceuticals/medical devices" need, and we create products such as seminars, books, and correspondence courses!
