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This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selecta

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Carolina Machado

Joao Paulo Davim

Challenges and Opportunities in the Artificial Intelligence Era

&lt;p class="MsoNormal" style="margin-bottom: .0001pt; text-align: justify; text-justify: inter-ideograph; line-height: 150%;"&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;Chapter 1. &lt;/span&gt;&lt;span lang="PT" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;"&gt;Dave's decision: what would you do?.- &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;Chapter 2. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-themecolor: text1; mso-font-kerning: 14.0pt; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-font-weight: bold;"&gt;Language and Culture: Imperative Strategic Assets for Organizations in the AI Era.- Chapter 3. &lt;/span&gt;&lt;span lang="PT" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;"&gt;Roadmap for aligning AI in production systems to the organizational culture.- &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;Chapter 4. &lt;span style="mso-bidi-font-weight: bold;"&gt;Artificial intelligence (AI), labor relations &amp;amp; human resource management.- &lt;/span&gt;Chapter 5. &lt;span style="mso-bidi-font-weight: bold;"&gt;Harmony in the Workplace:&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;Human- Robot Collaboration&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;and Tuning Employees&amp;rsquo; Perceptions Through HRM Practices.- &lt;/span&gt;Chapter 6. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;AI in Finance: Applications and Challenges.- &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;Chapter 7. AI Revolutionizing Marketing: Applications and Other Considerations.- Chapter 8. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;From theory to practice: How Generative Artificial Intelligence is revolutionizing Digital Marketing.- &lt;/span&gt;&lt;span lang="ES" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: ES;"&gt;Chapter 9. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US; mso-bidi-font-weight: bold;"&gt;Artificial Intelligence (AI) in Marketing and Firm Competitiveness.- &lt;/span&gt;&lt;span lang="ES" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: ES;"&gt;Chapter 10. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;AI-Driven Integrated Marketing Communications (IMC): Exploring the Role of AI in Planning, Executing, and Evaluating IMC.- &lt;/span&gt;&lt;span lang="ES" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: ES;"&gt;Chapter 11. &lt;/span&gt;&lt;span lang="EN-US" style="font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1; mso-ansi-language: EN-US;"&gt;Unlocking Potential: How the Digital Age is Shaping Tomorrow&amp;rsquo;s Human Resource Management.&lt;/span&gt;&lt;/p&gt;

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

Why Change Is Hard and How We Can Achieve It

New Beginnings

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns.
Using a tactical approach to effectively engage in developer relations, each pattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities&nbsp;of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout.
Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, Developer Relations Activity Patterns is your practical playbook for refining strategy and amplifying your impact.&nbsp;&nbsp;&nbsp;
What You Will Learn
<ul>
<li>Learn the tools, approaches, and new tactics for developer community engagement</li>
<li>Understand how and when to apply each tactic, based on your aims and objectives </li>
</ul>
Who This Book Is For &nbsp;
Developer Relations teams, including group leaders, direct reports, senior executives in the developer community, and company product managers looking to understand and establish a DevRel function in their organization.

Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns.Using a tactical approach to effectively engage in developer relations, each pattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities&nbsp;of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout.Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, Developer Relations Activity Patterns is your practical playbook for refining strategy and amplifying your impact.&nbsp;&nbsp;&nbsp;What You Will Learn<ul><li>Gain a greater understanding of what developer relations means and the range of activities under its remit</li><li>Learn the tools, approaches, and new tactics for developer community engagement</li><li>Understand how and when to apply each tactic, based on your aims and objectives </li></ul>Who This Book Is For &nbsp;Developer Relations teams, including group leaders, direct reports, senior executives in the developer community, and company product managers looking to understand and establish a DevRel function in their organization.

A Unified Approach to DevRel, DX and Community Management

Developer Relations Activity Patterns

Embedded System and GUI Development using MATLAB for Engineering Applications

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;

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 Gehatnerative 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.&nbsp;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;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Images in The Age of Heat

Medium Hot

Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work together seamlessly to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains. A must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security, this book illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

Swarm Robotics Solutions for National Security and Marine Forensics

Dieses Buch, in der 2., vollst. überarb. und erw. Auflage, bietet einen profunden Leitfaden rund um Gewinnverwendung und Vermögensentwicklung in Familienunternehmen. Die Frage nach der richtigen Ausschüttung spielt bei Familiengesellschaften eine besondere Rolle. Praxisnah und kundig stellt das Buch sowohl die strategischen Perspektiven einer Ausschüttungspolitik, wie auch die Besonderheiten im Detail dar. Ferner wird die Notwendigkeit für ein unternehmensexternes Sekundärvermögen der Familie und dessen Strukturierung herausgearbeitet. Für alle Gesellschafter in Familienunternehmen, wie für Geschäftsführer, Beiräte, juristische und steuerliche Berater sehr empfehlenswert.

Challenges and Opportunities in the Artificial Intelligence Era

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