- ホーム
- > 洋書
- > 英文書
- > Computer / Databases
Full Description
Data analytics and generative AI (Gen AI) are transformative technologies that play a critical role in modern decision-making and innovation. Data analytics enables organizations to extract actionable insights from vast amounts of structured and unstructured data, driving efficiency, improving customer experiences, and identifying trends. Generative AI, on the other hand, enhances creativity and problem-solving by producing new content, such as text, images, and designs, based on learned patterns. Together, they empower people and organizations to make data-driven decisions, automate complex processes, and unlock new opportunities for growth and innovation.
Generative AI 2.0 and Data Analytics explores the intersection between Gen AI and data analytics and addresses its profound efects on industries and organizations across the globe. Highlights of the book include:
Deep learning architectures for generative models in business data management
Optimizing human-AI collaboration for strategic decision-making in business practises
Benchmarking practices and evaluation metrics for Generative AI in business data analytics
Not only covering the fundamental concepts, and techniques of generative AI and their practical application, the book also investigates how these techniques foster innovation and improve quality of data in various business domains. It examines a broad range of topics from artificial data generation, security analytics, anomaly detection, reinforcement management, ethical consideration, challenges and future scenarios. The book also features expert opinions and case studies to provide practical direction and valuable insight.
Contents
1. Exploring Inventive Potential of Generative AI and the Next Generation: Theory and Techniques 2. AI In Education 3. Integrating Artificial Intelligence in K-12 Education: A Systematic Review of Strategies, Outcomes, and Applications (2021-2024) 4. Precise and Computation Efficient Face Recognition Based Real Time Attendance System 5. The Role of Chatbots in Student Interaction: EFL Speaking and Cognitive Load Theory Management 6. Where You Live Matters: Decoding the Geographic Factors Influencing Data Scientist Salaries Through Machine Learning 7. Perception of Fairness: The Role of Explainable and Trustworthy Artificial Intelligence 8. Prosthetic Hand with Expended Gestures Using Sequential Artificial Intelligence Models 9. Generative Adversarial Networks (GANs) for Brain Tumor Imaging Applications: A Systematic Review 10. Machine Learning and Deep Learning for Colon Cancer Classification with Gene Expression and Histological Image Datasets 11. Transfer Learning-Machine Learning Hybrid Approach for Binary Classification of Breast Cancer Using Bilateral Filtering 12. Analyzing the Agricultural as well as Environmental Data to Address Predicting the Crop Yields for Achieving Zero Hunger (UN SDG 2: Zero Hunger) 13. Smart Homes and Beyond: A Review of IoT Applications Transforming Daily Life 14. AI-Powered CrossFit Coach: Integrating Local Small Language Model and Geospatial Technology for Enhanced Fitness Training 15. Deep Learning Architectures for Generative Models in Business Data Management 16. Optimizing Human-AI Collaboration for Strategic Decision-Making in Business Practices 17. Benchmarking Practices and Evaluation Metrics for Generative AI in Business Data Analytics
