81 Challenges Smart Managers Face
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Author | : Tim Connor |
Publisher | : Sourcebooks, Inc. |
Total Pages | : 485 |
Release | : 2007-03-01 |
Genre | : Business & Economics |
ISBN | : 1402231059 |
Find out what separates great managers from the rest! A great manager approaches the job with a set of skills and attitudes that can guarantee success, no matter the industry or organization, but most of today's managers face myriad tough challenges, which can lead to a crisis of undermanagement and wreak havoc on the bottom line. Bestselling author and sales expert Tim Connor offers a unique look at 81 challenges that thousands of managers face every day, including learning how to delegate and communicate, setting and reaching goals, hiring the right employees and keeping it all in balance. He gives managers at all levels the insight to figure out what mistakes are holding them back, and the tools to fix them once and for all. 81 Challenges Smart Managers Face gets to the heart of the key issues in any workplace and shows managers how to bring out the best in themselves, their employees and their companies.
Author | : Tim Connor |
Publisher | : |
Total Pages | : 292 |
Release | : 2007 |
Genre | : Business & Economics |
ISBN | : |
Find out what separates great managers from the rest. A great manager approaches the job with a set of skills and attitudes that can guarantee success, no matter the industry or organization, but most of today's managers face myriad tough challenges that can jeopardize their careers and wreak havoc on the bottom line. Bestselling author and sales expert Tim Connor offers a unique look at 81 challenges that thousands of managers face every day, including learning how to delegate, setting and reaching goals, hiring the right employees and keeping it all in balance. He gives managers at all levels the insight to figure out what mistakes are holding them back, and the tools to fix them once and for all. 81 Challenges Smart Managers Face gets to the heart of the key issues in any workplace and shows managers how to bring out the best in themselves, their employees and their companies. Tim Connor, bestselling author of Soft Sell and nearly 60 other books, has been a full-time speaker and trainer for over 30 years. Since 1973, he has given over 4,000 presentations in 21 countries around the world on sales, motivation, management, supervision and relationships.
Author | : Tim Connor |
Publisher | : |
Total Pages | : 276 |
Release | : 2007 |
Genre | : Executives |
ISBN | : 9789833831760 |
Author | : |
Publisher | : |
Total Pages | : 838 |
Release | : 2007 |
Genre | : American literature |
ISBN | : |
Author | : Ayodeji E. Oke |
Publisher | : Emerald Group Publishing |
Total Pages | : 169 |
Release | : 2024-01-16 |
Genre | : Business & Economics |
ISBN | : 1837977038 |
A Digital Path for Sustainable Infrastructure Management delivers the much sought-after guidance that the industry seeks to embrace technological advancements, establish new sustainable working practices, and foster socially valuable collaborations.
Author | : Siddharth Swarup Rautaray |
Publisher | : Springer Nature |
Total Pages | : 199 |
Release | : 2022-09-15 |
Genre | : Computers |
ISBN | : 9811951543 |
The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods, applications, and tools in data science. The chapters in the book add a social, geographical, and temporal dimension to data science research. The papers included are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications.
Author | : Arun Solanki |
Publisher | : Bentham Science Publishers |
Total Pages | : 299 |
Release | : 2023-09-27 |
Genre | : Computers |
ISBN | : 9815124978 |
Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design.
Author | : |
Publisher | : |
Total Pages | : 1804 |
Release | : 1995 |
Genre | : Engineering |
ISBN | : |
Author | : Deepak Kumar |
Publisher | : Elsevier |
Total Pages | : 310 |
Release | : 2024-11-15 |
Genre | : Science |
ISBN | : 0443235961 |
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity. Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
Author | : Om Prakash Jena |
Publisher | : CRC Press |
Total Pages | : 374 |
Release | : 2022-05-09 |
Genre | : Computers |
ISBN | : 1000567052 |
This book focuses on industrial development, design, implementation, and transformation using technologies such as Artificial Intelligence, Machine Learning, the Internet of Things (IoT), Big Data Analysis, and Blockchain. It incorporates complex processes, functions, and various other elements as one central component of digital systems. Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems discusses the industry transformation aligned with the computerization of manufacturing and the required skills needed to build a new workforce. This book covers the role that AI plays in the management of resource flow and decision-making in the transformation of operations, as well as supply chain management. It presents sustainability and efficiency with IoT, Machine Learning, Data Analysis, and Blockchain technologies as it focuses on industrial development, design, and implementation. This book showcases the incorporation of complex processes and functions as one central component of digital systems and explores current trends that are working to accelerate industrial transformation. Case studies are also included, depicting the technologies that are influencing the transition into the fourth Industrial Revolution, such as industrial infrastructure, biodiversity, and enhanced productivity. This book is aimed at researchers, scholars, and students that require real-time knowledge and applications where the transformation and implementation of digital systems in the manufacturing sector are needed.