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Kudhail V: Authentic Marketing

Authentic Marketing

Combining Human Thinking and Creativity with Technology to Inspire Audiences

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

Discover how to use AI confidently, responsibly and ethically as an HR practitioner with this practical jargon-free guide.

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

This book frames "theories" as tools for understanding and applying real-world phenomena, bridging classic scholarship with the unprecedented challenges and opportunities posed by machine intelligence, digital platforms, and shifting cultural dynamics. Structured in four sections—Foundational Media Theories, Interaction and Impact Theories, Critical Media Perspective Theories, and Advanced and Future-Facing Theories—the textbook progresses from essential theories like Marshall McLuhan’s&nbsp;and Neil Postman's Media Ecology Theory to cutting-edge concepts like Ambient Media and Attention Economy Theories. With chapters addressing topics such as algorithmic influence, media ecology, participatory media, and posthuman digital embodiment, the book offers a holistic view of media’s past, present, and evolving futures. The 12 future-focused media theories presented include the introduction of Quantum Media Theory and Gestalt Media Theory as an integrated, cross-disciplinary, approach to understanding media theory from a wholistic “whole is more than the sum of its parts” perspective.Jack Myers&nbsp;is a Senior Lecturer on New Media Theory at the University of Arizona School of Information Sciences, author of&nbsp;The Myers Report&nbsp;column at Substack, and&nbsp;founder of the MediaVillage Education Foundation. He was an adjunct professor of Media Business at NYU Steinhardt. His honors include the Excellence in Education Award from the Global Forum on Education &amp; Learning, the George Foster Peabody Award, Academy and EMMY Award nominations for documentary filmmaking, the Crystal Heart Award from the Heartland Film Festival, the World Music Award as its producer, and a Top 10 Most Admired Leader in Tech by Pinnacle Tech Insights.

Theories of Culture, Communications, and Consciousness

Media Ecology for the 21st Century

Deep Learning in Computer Vision

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

Authentic Marketing

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