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Automating Salesforce Marketing Cloud: Reap all the benefits of the SFMC platform and increase your productivity with the help of real-world examples
by Greg Gifford Jason Hanshaw Guilda HilaireMake the most of Salesforce Marketing Cloud through automation and increase your productivity on the platform without adding any extra resourcesKey FeaturesIncrease your knowledge of automation theory and the applications of SFMCExplore automation with SFMC and its capabilities beyond general usageUnderstand the automation features and integrations of SFMC to use the platform from outside the user interface (UI) for maximum efficiencyBook DescriptionSalesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency.Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you'll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency.By the end of this Salesforce book, you'll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally.What you will learnUnderstand automation to make the most of the SFMC platformOptimize ETL activities, data import integrations, data segmentations, email sends, and moreExplore different ways to use scripting and API calls to increase Automation Studio efficiencyIdentify opportunities for automation with custom integrations and third-party solutionsOptimize usage of SFMC by building on the core concepts of custom integrations and third-party toolsMaximize utilization of employee skills and capabilities and reduce operational costs while increasing outputWho this book is forThis book is for Salesforce Marketing Cloud users who want to know how to make their day to day lives more efficient and get the most out of the tool by working smarter, not harder. A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this book.
Automating Systems Development
by David R. Benyon Steve Skidmore1 INTRODUCTION These proceedings are the result of a conference on Automating Systems Development held at Leicester Polytechnic, England on 14 to 16 April 1987. The conference was attended by over 170 delegates from industry and academia and it represents a comprehensive review of the state of the art of the use of the computer based tools for the analysis, design and construction of Information Systems (IS). Two parallel streams ran throughout the conference. The academic, or research, papers were the fruit of British, European and Canadian research, with some of the papers reflecting UK Government funded Alvey or European ESPRIT research projects. Two important touchstones guided the selection of academic papers. Firstly, they should be primarily concerned with system, rather than program, development. Secondly, they should be easily accessible to delegates and readers. We felt that formal mathematical papers had plenty of other opportunities for airing and publication. The second stream was the applied programme; a set of formal presentations given by leading software vendors and consultancies. It is clear that many advances in systems development are actually applied, rather than re search led. Thus it was important for delegates to hear how leading edge companies view the State of the Art. This was supported by a small exhibi tion area where certain vendors demonstrated the software they had intro duced in the formal presentation.
Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications (Geotechnologies and the Environment #6)
by Valliappa LakshmananThe ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
Automating the Design of Computer Systems
by William P. Birmingham Anurag P. Gupta Daniel P. SiewiorekAddressing the issues of engineering design in computer architecture, this book describes the design and implementation of MICON, a system for automating the synthesis of small computers.
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)
by Gisele L. Pappa Alex FreitasData mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.
Automating the News: How Algorithms Are Rewriting the Media
by Nicholas DiakopoulosFrom hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. Nicholas Diakopoulos explains the present and future of a world in which algorithms have changed how the news is created, disseminated, and received, and he shows why journalists—and their values—are at little risk of being replaced.
Automating Windows Administration
by Stein Borge* Covers common administration tasks for Exchange 5.5, Exchange 2000, Exchange 2003, Internet Information Server (IIS) 4 and 5 and 6, and Windows NT 4, 2000, XP and Windows 2003. * Extensive examples using Windows Management Instrumentation (WMI), which provides registry, network/system administrative, and security operations. * This book is the analog of the tools that were used in our very successful book, ISBN 1590592123 Automating UNIX and Linux Administration (Apress, 2003) for similar tasks.
Automation 2017: Innovations in Automation, Robotics and Measurement Techniques (Advances in Intelligent Systems and Computing #550)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book consists of papers presented at Automation 2017, an international conference held in Warsaw from March 15 to 17, 2017. It discusses research findings associated with the concepts behind INDUSTRY 4.0, with a focus on offering a better understanding of and promoting participation in the Fourth Industrial Revolution. Each chapter presents a detailed analysis of a specific technical problem, in most cases followed by a numerical analysis, simulation and description of the results of implementing the solution in a real-world context. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.
Automation 2018: Advances in Automation, Robotics and Measurement Techniques (Advances in Intelligent Systems and Computing #743)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book consists of papers presented at Automation 2018, an international conference held in Warsaw from March 21 to 23, 2018. It discusses the radical technological changes occurring due to the INDUSTRY 4.0, with a focus on offering a better understanding of the Fourth Industrial Revolution. Each chapter presents a detailed analysis of interdisciplinary knowledge, numerical modeling and simulation as well as the application of cyber-physical systems, where information technology and physical devices create synergic systems leading to unprecedented efficiency. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.
Automation 2019: Progress in Automation, Robotics and Measurement Techniques (Advances in Intelligent Systems and Computing #920)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book consists of papers presented at AUTOMATION2019, an international conference held in Warsaw from March 27 to 29, 2019. It discusses the radical technological changes occurring due to the INDUSTRY 4.0. To follow these changes, both scientists and engineers have to face the challenge of interdisciplinary approach directed at the development of cyber-physical systems. This approach encompasses interdisciplinary theoretical knowledge, numerical modelling and simulation as well as application of artificial intelligence techniques. Both software and physical devices are composed into systems that will increase production efficiency and resource savings. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.
Automation 2020: Proceedings of Automation 2020, March 18–20, 2020, Warsaw, Poland (Advances in Intelligent Systems and Computing #1140)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book presents the scientific outcomes of the International Conference AUTOMATION 2020, held on March 18–20, 2020 in Warsaw, Poland. The next 30 years will see radical innovations in production processes, transportation management and social life. The changes brought about by the transformation to zero-emission industry require advances in many fields, but especially in industrial automation, robotics and measurement techniques associated with the cyber-physical systems employing artificial intelligence that will be key to reducing costs and enabling European society to maintain its quality of live. In this context, the book features the latest research toward further developing these fields of engineering, and also offers solutions and guidelines that are useful for both researchers and engineers addressing problems associated with the world of ongoing radical changes.
Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques (Advances in Intelligent Systems and Computing #1390)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book contains 38 papers authored by both scientists and practitioners focused on an interdisciplinary approach to the development of cyber-physical systems. Recently our civilization has been facing one of the most severe challenges in modern history. The COVID-19 pandemic devastated the global economy and significantly disrupted numerous areas of economic activity. Only radical increase of efficiency and versatility of industrial production, with further limitation of human involvement, paralleled by the decrease of environmental burden, will enable us to cope with such challenges. We hope that the presented book provides input to the solution of at least some problems brought about by this challenge. This approach relies on the development of measuring techniques, robotic and mechatronic systems, industrial automation, numerical modeling and simulation as well as application of artificial intelligence techniques required by the transformation leading to Industry 4.0.
Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques (Advances in Intelligent Systems and Computing #1427)
by Roman Szewczyk Cezary Zieliński Małgorzata KaliczyńskaThis book presents the unique result of discussion among interdisciplinary specialists facing recent industrial and economic challenges. It contains papers authored by both scientists and practitioners focused on an interdisciplinary approach to developing measuring techniques, robotic and mechatronic systems, industrial automation, numerical modelling and simulation, and application of artificial intelligence techniques required by the transformation leading to Industry 4.0. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers facing problems associated with developing cyber-physical systems for global development.
Automation and Autonomy: Labour, Capital and Machines in the Artificial Intelligence Industry (Marx, Engels, and Marxisms)
by James SteinhoffThis book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.
Automation and Collaborative Robotics: A Guide to the Future of Work
by Peter Matthews Steven GreenspanUnderstand 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 futureThe hype of automation and headlines leading to concerns over the future of workComponent technologies that are still in the research labsFoundational 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 automationUnderstand the impact of robotics, other automation technologies, and the impact of AI on automationGet an idea of how far we are from implementation of an automated futureKnow 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
Automation and Computation: Proceedings of the International Conference on Automation and Computation, (AutoCom 2022), Dehradun, India
by Satvik Vats Vikrant Sharma Karan Singh Amit Gupta Dibyahash Bordoloi Navin GargThe proceedings of the International Conference on Automation and Computation 2022 (AUTOCOM-22) consist of complete research articles that were presented at the conference. Each of the research articles was double-blind reviewed by the experts of the corresponding domain. The book contains a blend of problems and respective solutions related to computer-based automation & computation to highlight the recent technological developments in computer-based automation. It serves as an environment for researchers to showcase the latest research results on Data Science & Engineering, Computing Technologies, Computational Intelligence, Communication & Networking, Signal & Image Processing, Intelligent Control Systems & Optimization, Robotics and Automation, Power, Energy & Power Electronics, Healthcare & Computation, AI for human interaction, etc. It aims to give deep insight into the current trends of research in science and technology and shall introduce the reader to the new problems and respective approaches toward the solution and shall enlighten the researchers, students and academicians about the research being carried out in the field.
Automation and Computation: Proceedings of the International Conference on Automation and Computation, (AutoCom 2022), Dehradun, India
by Satvik Vats Sharma Vikrant Karan Singh Amit Gupta Dibyahash Bordoloi Navin GargThe proceedings of the International Conference on Automation and Computation 2022 (AUTOCOM-22) consist of complete research articles that were presented at the conference. Each of the research articles was double-blind reviewed by the experts of the corresponding domain. The book contains a blend of problems and respective solutions related to computer-based automation & computation to highlight the recent technological developments in computer-based automation. It serves as an environment for researchers to showcase the latest research results on Data Science & Engineering, Computing Technologies, Computational Intelligence, Communication & Networking, Signal & Image Processing, Intelligent Control Systems & Optimization, Robotics and Automation, Power, Energy & Power Electronics, Healthcare & Computation, AI for human interaction, etc. It aims to give deep insight into the current trends of research in science and technology and shall introduce the reader to the new problems and respective approaches toward the solution and shall enlighten the researchers, students and academicians about the research being carried out in the field.
Automation and Computational Intelligence for Road Maintenance and Management: Advances and Applications
by Hamzeh Zakeri Fereidoon Moghadas Nejad Amir H. GandomiAutomation and Computational Intelligence for Road Maintenance and Management A comprehensive computational intelligence toolbox for solving problems in infrastructure management In Automation and Computational Intelligence for Road Maintenance and Management, a team of accomplished researchers delivers an incisive reference that covers the latest developments in computer technology infrastructure management. The book contains an overview of foundational and emerging technologies and methods in both automation and computational intelligence, as well as detailed presentations of specific methodologies. The distinguished authors emphasize the most recent advances in the maintenance and management of infrastructure robotics, automated inspection, remote sensing, and the applications of new and emerging computing technologies, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, knowledge discovery and engineering, and more. Automation and Computational Intelligence for Road Maintenance and Management explores a universal synthesis of the cutting edge in parameters and indices to evaluate models. It also includes: Thorough introductions to management science and the latest methods of automation and the structure and framework of automation and computing intelligence Comprehensive explorations of advanced image processing techniques, recent advances in fuzzy, and diagnosis automation Practical discussions of segmentation and fragmentation and different types of features and feature extraction methods In-depth examinations of methods of classification along with various developed methodologies and models of quantification, evaluation, and indexing in automation Perfect for postgraduate students in road and transportation engineering, evaluation, and assessment, Automation and Computational Intelligence for Road Maintenance and Management will also earn a place in the libraries of researchers interested in or working with the evaluation and assessment of infrastructure.
Automation and Computational Intelligence for Road Maintenance and Management: Advances and Applications
by Hamzeh Zakeri Fereidoon Moghadas Nejad Amir H. GandomiAutomation and Computational Intelligence for Road Maintenance and Management A comprehensive computational intelligence toolbox for solving problems in infrastructure management In Automation and Computational Intelligence for Road Maintenance and Management, a team of accomplished researchers delivers an incisive reference that covers the latest developments in computer technology infrastructure management. The book contains an overview of foundational and emerging technologies and methods in both automation and computational intelligence, as well as detailed presentations of specific methodologies. The distinguished authors emphasize the most recent advances in the maintenance and management of infrastructure robotics, automated inspection, remote sensing, and the applications of new and emerging computing technologies, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, knowledge discovery and engineering, and more. Automation and Computational Intelligence for Road Maintenance and Management explores a universal synthesis of the cutting edge in parameters and indices to evaluate models. It also includes: Thorough introductions to management science and the latest methods of automation and the structure and framework of automation and computing intelligence Comprehensive explorations of advanced image processing techniques, recent advances in fuzzy, and diagnosis automation Practical discussions of segmentation and fragmentation and different types of features and feature extraction methods In-depth examinations of methods of classification along with various developed methodologies and models of quantification, evaluation, and indexing in automation Perfect for postgraduate students in road and transportation engineering, evaluation, and assessment, Automation and Computational Intelligence for Road Maintenance and Management will also earn a place in the libraries of researchers interested in or working with the evaluation and assessment of infrastructure.
Automation and Systems Issues in Air Traffic Control (NATO ASI Subseries F: #73)
by John A. Wise V. David Hopkin Marvin L. SmithIn recent years, increases in the amount and changes in the distribution of air traffic have been very dramatic and are continuing. The need for changes in the current air traffic systems is equally clear. While automation is generally accepted as a method of improving system safety and performance, high levels of automation in complex human-machine systems can have a negative effect on total system performance and have been identified as contributing factors in many accidents and failures. Those responsible for designing the advanced air traffic control systems to be implemented throughout the alliance during the next decade need to be aware of recent progress concerning the most effective application of automation and artificial intelligence in human-computer systems. This volume gives the proceedings of the NATO Advanced Study Institute held in Maratea, Italy, June 18-29, 1990, at which these issues were discussed.
Automation and Utopia: Human Flourishing in a World without Work
by John DanaherAutomating technologies threaten to usher in a workless future, but John Danaher argues that this can be a good thing. A world without work may be a kind of utopia, free of the misery of the job and full of opportunities for creativity and exploration. If we play our cards right, automation could be the path to idealized forms of human flourishing.
Automation, Capitalism and the End of the Middle Class (Routledge Focus on Economics and Finance)
by Jon-Arild JohannessenIn this book, the author argues that a new form of capitalism is emerging at the threshold of the Fourth Industrial Revolution. He asserts that we are in the midst of a transition from democratic capitalism to feudal capitalism and highlights how robotization and innovation is leading to a social crisis for the middle classes as economic inequality is on the rise. Johannessen outlines the three elements – Balkanization, the Great Illusion, and the plutocracy – which are referred to here as feudal structures. He describes, analyzes, and discusses these elements both individually and in interaction with each other, and asks: "What structures and processes are promoting and boosting feudal capitalism?" Additionally, the book serves to generate knowledge about how the middle class will develop in the Fourth Industrial Revolution. It shows the various effects of robotization on the middle class, where middle class jobs are transformed, deconstructed, and re-constructed and new part-time jobs are created for the middle class. Given the interest in the Fourth Industrial Revolution, the book will appeal to students of economic sociology and political economy as well as those in innovation and knowledge management courses focusing upon the emerging innovation economy. The topic will attract policymakers, and the accessible and engaging tone will also make the book of interest to the general public.
Automation, Capitalism and the End of the Middle Class (Routledge Focus on Economics and Finance)
by Jon-Arild JohannessenIn this book, the author argues that a new form of capitalism is emerging at the threshold of the Fourth Industrial Revolution. He asserts that we are in the midst of a transition from democratic capitalism to feudal capitalism and highlights how robotization and innovation is leading to a social crisis for the middle classes as economic inequality is on the rise. Johannessen outlines the three elements – Balkanization, the Great Illusion, and the plutocracy – which are referred to here as feudal structures. He describes, analyzes, and discusses these elements both individually and in interaction with each other, and asks: "What structures and processes are promoting and boosting feudal capitalism?" Additionally, the book serves to generate knowledge about how the middle class will develop in the Fourth Industrial Revolution. It shows the various effects of robotization on the middle class, where middle class jobs are transformed, deconstructed, and re-constructed and new part-time jobs are created for the middle class. Given the interest in the Fourth Industrial Revolution, the book will appeal to students of economic sociology and political economy as well as those in innovation and knowledge management courses focusing upon the emerging innovation economy. The topic will attract policymakers, and the accessible and engaging tone will also make the book of interest to the general public.
Automation, Communication and Cybernetics in Science and Engineering 2009/2010
by Sabina Jeschke Ingrid Isenhardt Klaus HenningThe book presents a representative selection of all publications published between 01/2009 and 06/2010 in various books, journals and conference proceedings by the researchers of the institute cluster: IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Institute for Management Cybernetics, Faculty of Mechanical Engineering, RWTH Aachen University The contributions address the cluster's five core research fields: suitable processes for knowledge- and technology-intensive organizations, next-generation teaching and learning concepts for universities and the economy, cognitive IT-supported processes for heterogeneous and cooperative systems, target group-adapted user models for innovation and technology development processes, semantic networks and ontologies for complex value chains and virtual environments Innovative fields of application such as cognitive systems, autonomous truck convoys, telemedicine, ontology engineering, knowledge and information management, learning models and technologies, organizational development and management cybernetics are presented. The contributions show the unique potential of the broad and interdisciplinary research approach of the ZLW/IMA and the IfU.
Automation, Communication and Cybernetics in Science and Engineering 2011/2012
by Sabina Jeschke Ingrid Isenhardt Frank Hees Klaus HenningThe book is the follow-up to its predecessor “Automation, Communication and Cybernetics in Science and Engineering 2009/2010” and includes a representative selection of all scientific publications published between 07/2011 and 06/2012 in various books, journals and conference proceedings by the researchers of the following institute cluster:IMA - Institute of Information Management in Mechanical EngineeringZLW - Center for Learning and Knowledge ManagementIfU - Associated Institute for Management CyberneticsFaculty of Mechanical Engineering, RWTH Aachen UniversityInnovative fields of application, such as cognitive systems, autonomous truck convoys, telemedicine, ontology engineering, knowledge and information management, learning models and technologies, organizational development and management cybernetics are presented.