This technical book will provide a comprehensive exploration of how generative AI techniques can revolutionize business intelligence (BI) and data analytics practices. It offers a detailed examination of cutting-edge algorithms, methodologies, and tools for leveraging generative AI to extract actionable insights, drive innovation, and enhance decision-making processes within organizations.
It will help in exploring-
1. Fundamentals of Generative AI: The book begins with an in-depth introduction to generative AI, covering key concepts, algorithms, and architectures such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models.
2. Generative AI Techniques for BI and Data Analytics: Readers are introduced to a wide range of generative AI techniques tailored specifically for BI and data analytics applications, including data generation, anomaly detection, predictive modeling, personalized recommendations, and content generation.
3. Implementation Strategies: The book provides practical guidance on how to implement generative AI solutions within the context of BI and data analytics workflows, including data preprocessing, model training, evaluation, and deployment considerations.
4. Real-World Use Cases: Through a series of case studies and examples, readers gain insights into how leading organizations across various industries are leveraging generative AI to address key challenges and unlock new opportunities in BI and data analytics.
5. Ethical and Regulatory Considerations: The book explores the ethical implications and regulatory considerations associated with the use of generative AI in BI and data analytics, providing readers with guidance on how to navigate these complex issues responsibly.
The reader will benefit by -
1. Comprehensive Coverage: Offers a comprehensive overview of generative AI applications specifically tailored for BI and data analytics professionals, covering both foundational concepts and advanced techniques.
2. Practical Guidance: Provides practical guidance, best practices, and implementation strategies to help readers effectively integrate generative AI into their BI and data analytics workflows, regardless of their level of expertise.
3. Real-World Insights: Features real-world case studies and examples that illustrate the practical applications and benefits of generative AI in solving real-world BI and data analytics challenges.
4. Future Outlook: Explores emerging trends and future directions in the field of generative AI for BI and data analytics, helping readers stay ahead of the curve and anticipate future developments in the rapidly evolving landscape.
The Book will help in understanding Generative AI applications with a large language model has found its space almost in every step of our everyday life starting from better content generation to variety. It helps every professional within the stated ethical guidelines to create content especially for those who need on regular basis. It helps in generating variety in content with better presentation of ideas, high customization through personalization of content ,less time consuming. It has wide applications like in marketing blogs, social media, ads can be created for marketing campaigns. Effective Search engine optimization and in person PR can be done with it.
This also has code generating ability by giving a small snippet it can create variety of codes, identify bugs, and rectify mistakes, it thus also helps in saving time and resources by mistake detection. Equally helpful are the conversational applications wherein right from being conversation to maintaining context it helps, eg Google BERT can understand search queries as well serves as a chatbot engine. They also help in maintaining and avoiding any undesired content detection like hate speeches. Similarly, knowledge management applications to create eg wealth management tips for financial advisors and recognizing deepfakes.
Students(Graduates, PG, Mphil), academic community, industry, research scholars in and all branches of engineering , management and psychology, education, humanities, law also will be benefitted.