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SHAPING THE FUTURE OF AUTOMATION WITH CLOUD ENHANCED ROBOTICS.

SHAPING THE FUTURE OF AUTOMATION WITH CLOUD ENHANCED ROBOTICS. PDF Author:
Publisher:
ISBN: 9789798369315
Category :
Languages : en
Pages : 0

Book Description


SHAPING THE FUTURE OF AUTOMATION WITH CLOUD ENHANCED ROBOTICS.

SHAPING THE FUTURE OF AUTOMATION WITH CLOUD ENHANCED ROBOTICS. PDF Author:
Publisher:
ISBN: 9789798369315
Category :
Languages : en
Pages : 0

Book Description


Shaping the Future of Automation With Cloud-Enhanced Robotics

Shaping the Future of Automation With Cloud-Enhanced Robotics PDF Author: Gatti, Rathishchandra Ramachandra
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 457

Book Description
In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

AI and IoT for Proactive Disaster Management

AI and IoT for Proactive Disaster Management PDF Author: Ouaissa, Mariyam
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 317

Book Description
In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.

Bio-Inspired Intelligence for Smart Decision-Making

Bio-Inspired Intelligence for Smart Decision-Making PDF Author: Jaganathan, Ramkumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 355

Book Description
In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

Comprehensive Guide to Robotic Process Automation (RPA): Tips, Recommendations, and Strategies for Success

Comprehensive Guide to Robotic Process Automation (RPA): Tips, Recommendations, and Strategies for Success PDF Author: Rick Spair
Publisher: Rick Spair
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 168

Book Description
Welcome to the Comprehensive Guide to Robotic Process Automation (RPA). In today's rapidly evolving digital landscape, organizations are increasingly turning to automation technologies to streamline processes, improve efficiency, and drive digital transformation. Among these technologies, Robotic Process Automation (RPA) stands out as a powerful tool for automating repetitive, rule-based tasks, freeing up human resources to focus on more strategic and value-added activities. This comprehensive guide aims to provide you with a deep understanding of RPA and equip you with the knowledge and strategies needed for successful RPA implementation. Whether you are a business leader, an IT professional, or an individual looking to explore the world of automation, this guide will serve as a valuable resource to navigate the complexities of RPA. In this guide, we will start by laying the foundation with an introduction to RPA, its benefits, and common misconceptions. We will then guide you through the process of assessing process suitability, selecting the right RPA tool, and building a strong foundation for RPA implementation. You will learn about establishing a dedicated RPA team, developing a roadmap, and setting realistic goals and expectations. As we delve into the core chapters, we will explore RPA design principles, process flow, decision points, and efficient automation workflows. We will address important considerations such as error handling and exception management, data and system integration, and managing security and access controls. Furthermore, this guide will provide insights into RPA implementation best practices, including creating reusable automation components, ensuring version control and documentation, and implementing proper testing and debugging processes. We will also explore the crucial aspects of governance, control, change management, and the role of RPA in business process reengineering. To enhance your understanding of RPA, we will delve into advanced topics such as cognitive automation, artificial intelligence (AI) integration, and leveraging machine learning and natural language processing capabilities. We will discuss scaling RPA implementations, managing multiple automation projects, and overcoming challenges in large-scale deployments. Throughout this guide, we will share real-world case studies, highlighting successful RPA implementations and extracting key learnings from each. These case studies will provide practical insights into how organizations have leveraged RPA to transform their operations, achieve cost savings, and enhance customer experiences. Lastly, we will explore the future of RPA and the emerging trends that will shape the landscape of automation. We will discuss evolving capabilities, the impact of AI and machine learning on RPA, and predictions for the future of automation. With each chapter, you will find tips, recommendations, and strategies to address common challenges, mitigate risks, and drive successful RPA adoption within your organization. We understand that every organization is unique, and the journey to RPA implementation will vary. However, by following the guidance provided in this guide, you will be equipped with the necessary knowledge and tools to embark on a successful RPA journey. We hope that this comprehensive guide serves as a valuable resource and reference throughout your RPA implementation. So let's dive in and unlock the transformative power of Robotic Process Automation!

The Work of the Future

The Work of the Future PDF Author: David H. Autor
Publisher: MIT Press
ISBN: 0262547309
Category : Business & Economics
Languages : en
Pages : 189

Book Description
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.

AI-driven Innovations in Robotic Engineering Automation

AI-driven Innovations in Robotic Engineering Automation PDF Author: James Brandy
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0

Book Description
Embark on a captivating exploration of the technological frontier where artificial intelligence (AI) converges with robotic engineering, ushering in a new era of innovation. "AI-driven Innovations in Robotic Engineering: Revolutionizing Automation for Tomorrow's World" is an enlightening journey through the past, present, and future of intelligent automation. This groundbreaking book unravels the intricate tapestry of AI-driven robotics, revealing how these technologies are reshaping industries, societies, and the very fabric of our daily lives. From historical milestones to cutting-edge applications, each chapter provides a comprehensive understanding of the symbiotic relationship between AI and robotics, offering insights into the evolution, challenges, and unprecedented opportunities that lie ahead. Key Features: Historical Foundations: Explore the origins of AI in robotics, from visionary concepts to pivotal breakthroughs that laid the groundwork for the present revolution. Current State of Affairs: Delve into real-world case studies across industries such as healthcare, manufacturing, and transportation, showcasing the transformative impact of AI-driven robotics. Ethical Considerations: Navigate the complex ethical landscape of AI in robotics, addressing issues of fairness, transparency, and societal impact. Future Trajectories: Peer into the future, examining emerging technologies, predicting trends, and envisioning the collaborative landscape where humans and AI seamlessly work together. Challenges and Opportunities: Confront the technical challenges, and ethical dilemmas, and seize the opportunities for innovation that define the path towards a smarter tomorrow. Through a carefully crafted narrative, this book serves as a compass for readers-researchers, engineers, policymakers, and enthusiasts-navigating the uncharted territories of AI-driven innovations in robotic engineering. Engaging and thought-provoking, it is a must-read for those eager to comprehend, contribute, and shape the future where AI and robotics revolutionize automation for tomorrow's world.

Automation and Collaborative Robotics

Automation and Collaborative Robotics PDF Author: Peter Matthews
Publisher: Apress
ISBN: 1484259645
Category : Computers
Languages : en
Pages : 285

Book Description
Understand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future. Rapid advances in automation and robotics technologies are often reported in the trade and general media, often relying on scary headlines such as “Jobs Lost to Robots.” It is certainly true that work will change with the advent of smarter and faster automated workers; however, the scope and scale of the changes is still unknown. Automation may seem to be here already, but we are only at the early stages. Automation and Collaborative Robotics explores the output of current research projects that are improving the building blocks of an automated world. Research into collaborative robotics (cobotics) is merging digital, audio, and visual data to generate a commonly held view between cobots and their human collaborators. Low-power machine learning at the edge of the network can deliver decision making on cobots or to their manipulations. Topics covered in this book include: Robotic process automation, chatbots, and their impact in the near future The hype of automation and headlines leading to concerns over the future of work Component technologies that are still in the research labs Foundational technologies and collaboration that will enable many tasks to be automated with human workers being re-skilled and displaced rather than replaced What You Will Learn Be aware of the technologies currently being researched to improve or deliver automation Understand the impact of robotics, other automation technologies, and the impact of AI on automation Get an idea of how far we are from implementation of an automated future Know what work will look like in the future with the deployment of these technologies Who This Book Is For Technical and business managers interested in the future of automation and robotics, and the impact it will have on their organizations, customers, and the business world in general

Shaping the Future of the Fourth Industrial Revolution

Shaping the Future of the Fourth Industrial Revolution PDF Author: Klaus Schwab
Publisher: Currency
ISBN: 1984822616
Category : Business & Economics
Languages : en
Pages : 290

Book Description
World Economic Forum Founder and Executive Chairman Klaus Schwab offers a practical companion and field guide to his previous book, The Fourth Industrial Revolution. Today, technology is changing everything--how we relate to one another, the way we work, how our economies and goverments function, and even what it means to be human. One need not look hard to see how the incredible advances in artificial intelligence, cryptocurrencies, biotechnologies, and the internet of things are transforming society in unprecedented ways. But the Fourth Industrial Revolution is just beginning, says Schwab. And at a time of such tremendous uncertainty and such rapid change, he argues it's our actions as individuals and leaders that will determine the trajectory our future will take. We all have a responsibility - as citizens, businesses, and institutions - to work with the current of progress, not against it, to build a future that is ethical, inclusive, sustainable and prosperous. Drawing on contributions from 200 top experts in fields ranging from machine learning to geoengineering to nanotechnology, to data ethics, Schwab equips readers with the practical tools to leverage the technologies of the future to leave the world better, safer, and more resilient than we found it.

Generative AI for Cloud Solutions

Generative AI for Cloud Solutions PDF Author: Paul Singh
Publisher: Packt Publishing Ltd
ISBN: 1835080162
Category : Computers
Languages : en
Pages : 301

Book Description
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.