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Transformative Digital Technology for Effective Workplace Learning
by Ria O'DonnellIn a world bursting with new information, ideas, opportunities, and technological advancements, it is time to rethink how continuous learning shapes our future. Amidst the ongoing digital revolution, widespread educational reform, and the most significant global pandemic of our lifetimes, we are at a pivotal time in history. Transformative Digital Technology for Effective Workplace Learning explores the technological developments that are rapidly unfolding in the workplace and those that support workplace training. What emerges is that the rate of change and the possibilities for improvement are more extensive than many of us might have suspected. From artificial intelligence to virtual reality, from data analytics, to adaptive learning, there is the capacity for significant innovation and opportunity if harnessed in the right ways. The book offers an overview of several critical issues that face the future of the workplace and examines them through the lens of lifelong learning. The book begins by conveying the current impacts on the workplace and how the internal function of Learning and Development has evolved. It then considers the eight learning imperatives that drive workplace learning and then looks at the future workplace. Exploring technological frameworks for digitally enhanced workplace learning, the book takes a deep dive into the capabilities of immersive technologies, as well as into the insights enabled through learning analytics. The goal of this book is not to merely describe technological advancements in the workplace but instead, to challenge the status quo and think critically about the future that lies ahead. One aim is to have business leaders understand the necessity for ongoing workplace learning. Another is that individuals appreciate that lifelong learning is the new social norm. Ongoing education allows people to become more open to change and less anxious about new experiences. Developing a growth mindset and adopting a company culture that says everyone can learn new things and continue to improve their performance will become the standard. Most importantly, as the business world is reconfigured before our very eyes, ongoing learning must become an economic imperative.
Transformative Marketing: Combining New Age Technologies and Human Insights (Palgrave Executive Essentials)
by Philip Kotler V. KumarThis book gives an indispensable guide to navigating the shift in customer behavior and discovers how to rally their resources, cultivate capabilities, and forge strategies that harness cutting-edge technologies. In today's tech-centric world, customers crave lightning-fast digital experiences and demand instant solutions. In response, firms are changing the way they do business by accelerating the application of new age technologies, revamping processes, building new organizational structures, and innovating new business models. The authors unveil the secrets of integrating diverse data sources, principles of Marketing 5.0 and employing advanced techniques to unearth profound insights about the customers. This work is the ticket to the latest in AI, machine learning, drones, and other game-changing technologies. Stay ahead of the curve by learning not just what tech to use, but how, when, and why to deploy it in this digital age. For the trailblazers with the influence and resources to reshape marketing strategies, this book is the essential read. Executives climbing the corporate ladder will find it a compass, unraveling how new age technologies dance with both traditional and emerging marketing practices. And for MBA students hungry for insights on navigating the digital era's competitive landscape, this book is the treasure trove of tools and real-world cases. Dive in and chart the course in the tech-driven marketing landscape!
Transformative Teachers: Teacher Leadership and Learning in a Connected World
by Kira J. Baker-DoyleTransformative Teachers offers an insightful look at the growing movement of civic-minded educators who are using twenty-first-century participatory practices and connected technologies to organize change from the ground up. Kira J. Baker-Doyle highlights the collaborative, grassroots tactics that activist teachers are implementing to transform their profession and pursue greater social justice and equity in education. The author provides a framework and practical suggestions for charting the path to transformative teacher leadership as well as suggestions for how others, including administrators and outside organizations, can support them. In addition, the book profiles fifteen transformative teachers who are changing the face of education, features three case studies of organizational allies (Edcamps, the Philadelphia Education Fund, and the Connected Learning Alliance), and includes insights from a wide range of educational leaders. A guide to the norms and practices of innovative educators, Transformative Teachers offers a clear and compelling vision of the potential for grassroots change in education.
Transformative Teaching Around the World: Stories of Cultural Impact, Technology Integration, and Innovative Pedagogy
by Curtis J. Bonk Meina ZhuTransformative Teaching Around the World compiles inspiring stories from Fulbright-awarded teachers whose instructional practices have impacted schools and communities globally. Whether thriving or struggling in their classrooms, instructing in person or online, or pushing for changes at high or low costs and risk levels, teachers devote intense energy and careful decision-making to their students and fellow staff. This book showcases an expansive variety of educational practices fostered across international contexts by real teachers: active and empowering learning strategies, critical thinking and creative problem-solving, cultural responsiveness and sustainability, humanistic integration of technology, and more. Pre- and in-service teachers, teacher educators, online/blended instructors, and other stakeholders will find a wealth of grounded, motivating approaches for transforming the lives of learners and their communities.
Transformers for Machine Learning: A Deep Dive
by Uday Kamath Kenneth L. Graham Wael EmaraTransformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.
Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition
by Antonio Gulli Denis RothmanUnder the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLPKey FeaturesImplement models, such as BERT, Reformer, and T5, that outperform classical language modelsCompare NLP applications using GPT-3, GPT-2, and other transformersAnalyze advanced use cases, including polysemy, cross-lingual learning, and computer visionBook DescriptionTransformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence. Transformers for Natural Language Processing, 2nd Edition, investigates deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question-answering, and many more NLP domains with transformers. An Industry 4.0 AI specialist needs to be adaptable; knowing just one NLP platform is not enough anymore. Different platforms have different benefits depending on the application, whether it's cost, flexibility, ease of implementation, results, or performance. In this book, we analyze numerous use cases with Hugging Face, Google Trax, OpenAI, and AllenNLP. This book takes transformers' capabilities further by combining multiple NLP techniques, such as sentiment analysis, named entity recognition, and semantic role labeling, to analyze complex use cases, such as dissecting fake news on Twitter. Also, see how transformers can create code using just a brief description. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models to various datasets.What you will learnDiscover new ways of performing NLP techniques with the latest pretrained transformersGrasp the workings of the original Transformer, GPT-3, BERT, T5, DeBERTa, and ReformerFind out how ViT and CLIP label images (including blurry ones!) and reconstruct images using DALL-ECarry out sentiment analysis, text summarization, casual language analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3Measure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is forIf you want to learn about and apply transformers to your natural language (and image) data, this book is for you.A good understanding of NLP, Python, and deep learning is required to benefit most from this book. Many platforms covered in this book provide interactive user interfaces, which allow readers with a general interest in NLP and AI to follow several chapters of this book.
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
by Denis RothmanBecome an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machineLearn training tips and alternative language understanding methods to illustrate important key conceptsBook DescriptionThe transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.What you will learnUse the latest pretrained transformer modelsGrasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms, including Hugging Face, Trax, and AllenNLPApply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and moreMeasure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is forSince the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers. Readers who can benefit the most from this book include deep learning & NLP practitioners, data analysts and data scientists who want an introduction to AI language understanding to process the increasing amounts of language-driven functions.
Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
by Denis RothmanThe definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AIKey FeaturesCompare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your projectApply RAG with LLMs using customized texts and embeddingsMitigate LLM risks, such as hallucinations, using moderation models and knowledge basesPurchase of the print or Kindle book includes a free eBook in PDF formatBook DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learnBreakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-EFine-tune BERT, GPT, and PaLM 2 modelsLearn about different tokenizers and the best practices for preprocessing language dataPretrain a RoBERTa model from scratchImplement retrieval augmented generation and rules bases to mitigate hallucinationsVisualize transformer model activity for deeper insights using BertViz, LIME, and SHAPGo in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4VWho this book is forThis book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.
Transforming Business
by Jerry Power Allison Cerra Kevin EasterwoodA unique perspective of an evolved role for company leadershipBased on the findings of an extensive research project that surveyed more than 5,500 enterprise employees and functional decision makers across the United States and China, Transforming Business: Big Data, Mobility and Globalization explores the influence of technology in the workplace and the implications to company culture, functional responsibilities and competitive advantage. This in-depth analysis illuminates emerging technological trends, the changing workforce, and the shifting face of business and industry while offering prescriptive guidance to leaders.Addresses how new technology trends - including mobility, cloud, big data and collaboration - are fundamentally changing the way work is conducted and how company leadership can tap into these trends to affect positive cultural reformExamines how the introduction of new technologies and the emergence of new business models are shifting traditional organizational roles, including HR, marketing, finance, and ITTakes an in-depth look at how the next-generation of top talent, represented by college students at the top universities, view their future workplace environment and how technology can become a meaningful magnet for recruitment and retentionZeroes in on how the integration of technology into the workplace differs between the United States and China and the implications to the global marketplaceWhat emerges from this book is an evolved role for company leadership, one of significant strategic value as cultural stewards capable of generating sustainable advantage for their companies in the most competitive market witnessed in decades.
Transforming Business with Program Management: Integrating Strategy, People, Process, Technology, Structure, and Measurement (Best Practices in Portfolio, Program, and Project Management)
by Satish P. SubramanianOrganizations need to constantly innovate and improve products and services to maintain a strong competitive position in the market place. The vehicle used by organizations for such constant reinvention is a business transformation program. This book illustrates a tested program management roadmap along with the supporting comprehensive frameworks
Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents
by Michael McTear Marina AshurkinaAcquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents.In this new world, decisions are made by a system that may forever remain a ‘black box’ for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools.Written in unprecedented and turbulent times for conversational interfaces you’ll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be. Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it’s here to stay. What You'll Learn See how large language models are constructed and used in conversational systems Review the risks and challenges of new technologies in conversational AI Examine techniques for prompt engineering Enable practitioners to keep abreast of recent developments in conversational AI Who This Book Is For Conversation designers, product owners, and product or project managers in conversational AI who wish to learn about new methods and challenges posed by the recent emergence in the public domain of ChatGPT. Data scientists, final year undergraduates and graduates of computer science
Transforming Cybersecurity Solutions using Blockchain (Blockchain Technologies)
by Rashmi Agrawal Neha GuptaThis book is targeted towards cybersecurity professionals (especially those dealing with cloud security) or any stakeholders dealing with cybersecurity who want to understand the next level of security infrastructure using blockchain. The book's security and privacy analysis help with an understanding of the basics of blockchain, and it explores the quantifying impact of the new attack surfaces introduced by blockchain technologies and platforms. In addition, the book contains relevant and current updates on the topic. It follows a practical approach to help understand how blockchain technology is used to transform cybersecurity solutions.
Transforming Digital Worlds: 13th International Conference, Iconference 2018, Sheffield, Uk, March 25-28, 2018, Proceedings (Lecture Notes in Computer Science #10766)
by Gobinda Chowdhury Julie McLeod Val Gillet Peter WillettThis book constitutes the proceedings of the 13th International Conference on Transforming Digital Worlds, iConference 2018, held in Sheffield, UK, in March 2018. The 42 full papers and 40 short papers presented together with the abstracts of 3 invited talks in this volume were carefully reviewed and selected from 219 submissions. The papers address topics such as social media; communication studies and online communities; mobile information and cloud computing; data mining and data analytics; information retrieval; information behaviour and digital literacy; digital curation; and information education and libraries.
Transforming Enterprise Cloud Services
by Hosame Abu-Amara Jessica Feng Sanford William Y ChangTransforming Enterprise Cloud Services addresses the fundamental ideology of Cloud Services and how enterprises in commercial, federal, and defense industries can transform their current information technology and management models to adopt this new method. It goes beyond the mere description of service frameworks in relation to cloud technologies and operations and provides practical path-forward solutions for identified challenges. For instance, as organizations transform their data and service models to compete in a new environment where data and services coexist with others in a public-held eco-system, enterprises have to face the challenge of data synthesis from a massive number of sources. One answer to this issue relies on a cross-organizational policy and technology coordination that can ensure that data will not be reproduced or manipulated by unauthorized entities. Transforming Enterprise Cloud Services explains how organizations can justify their current practices to take advantage of such collaboration synthesis securely, safely, reliably, and cost-effectively. Transforming Enterprise Cloud Services elucidates the service-oriented nature of Cloud Services and identifies issues and challenges from clients' and vendors' perspectives. It also portrays how enterprise operators can successfully deploy their IT environment from both business and technical perspectives to enable massive scalability, high resilience, enforced security, and collaborative dynamics.
Transforming Entrepreneurship Education: Interdisciplinary Insights on Innovative Methods and Formats
by Jantje Halberstadt Antonieta Alcorta de Bronstein Jean Greyling Shaun BissettThis open access book provides selected teaching approaches, supporting methods, concrete examples of curricula as well as extracurricular teaching formats, which are predominantly tailored to both African and German requirements. These approaches were developed by the YEEES Training and Research Centers, an international interdisciplinary network of university teachers and researchers from Germany and southern Africa, and combine the fields of management, entrepreneurship, information and communication technologies (ICT), and sustainability. The book shows how current scientific results can be integrated into teaching, how students can contribute to research while learning, and how research can contribute to the development and evaluation of new formats. It is thus relevant for university teachers, researchers, students as well as practitioners who want to educate and act as future change agents.
Transforming Global Information and Communication Markets
by Donald Abelson Jonathan D. Aronson Peter F. CowheyInnovation in information and communication technology (ICT) fuels the growth of the global economy. How ICT markets evolve depends on politics and policy, and since the 1950s periodic overhauls of ICT policy have transformed competition and innovation. For example, in the 1980s and the 1990s a revolution in communication policy (the introduction of sweeping competition) also transformed the information market. Today, the diffusion of Internet, wireless, and broadband technology, growing modularity in the design of technologies, distributed computing infrastructures, and rapidly changing business models signal another shift. This pathbreaking examination of ICT from a political economy perspective argues that continued rapid innovation and economic growth require new approaches in global governance that will reconcile diverse interests and enable competition to flourish. The authors (two of whom were architects of international ICT policy reforms in the 1990s) discuss this crucial turning point in both theoretical and practical terms.
Transforming Global Information and Communication Markets
by Peter F. Cowhey Donald Abelson Jonathan D. AronsonInnovation in information and communication technology (ICT) fuels the growth of the global economy. How ICT markets evolve depends on politics and policy, and since the 1950s periodic overhauls of ICT policy have transformed competition and innovation. For example, in the 1980s and the 1990s a revolution in communication policy (the introduction of sweeping competition) also transformed the information market. Today, the diffusion of Internet, wireless, and broadband technology, growing modularity in the design of technologies, distributed computing infrastructures, and rapidly changing business models signal another shift. This pathbreaking examination of ICT from a political economy perspective argues that continued rapid innovation and economic growth require new approaches in global governance that will reconcile diverse interests and enable competition to flourish. The authors (two of whom were architects of international ICT policy reforms in the 1990s) discuss this crucial turning point in both theoretical and practical terms.
Transforming Global Information and Communication Markets: The Political Economy of Innovation (Information Revolution and Global Politics)
by Peter F. Cowhey Jonathan D. AronsonInnovation in information and communication technology (ICT) fuels the growth of the global economy. How ICT markets evolve depends on politics and policy, and since the 1950s periodic overhauls of ICT policy have transformed competition and innovation. For example, in the 1980s and the 1990s a revolution in communication policy (the introduction of sweeping competition) also transformed the information market. Today, the diffusion of Internet, wireless, and broadband technology, growing modularity in the design of technologies, distributed computing infrastructures, and rapidly changing business models signal another shift. This pathbreaking examination of ICT from a political economy perspective argues that continued rapid innovation and economic growth require new approaches in global governance that will reconcile diverse interests and enable competition to flourish. The authors (two of whom were architects of international ICT policy reforms in the 1990s) discuss this crucial turning point in both theoretical and practical terms.
Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability (Approaches to Global Sustainability, Markets, and Governance)
by Rubee Singh Wasswa Shafik David Crowther Vikas KumarThis book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.
Transforming Healthcare with DevOps: A practical DevOps4Care guide to embracing the complexity of digital transformation
by Jeroen Mulder Henry MulderLeverage modern technologies and agile methodologies such as DevOps and microenterprises to deliver sustainable healthcare solutions.Purchase of the print or kindle book includes a free eBook in the PDF format.Key FeaturesDistinguish the pace and time of change to achieve sustainable healthcareApply shared mental models for common understanding of healthcare challenges and how to overcome themApply and integrate new technology to accelerate the digital transformation of healthcareBook DescriptionHealthcare today faces a multitude of challenges, which can be summed up as the barriers architects and consultants face in transforming the healthcare system into a more sustainable one. This book helps you to guide that transformation step by step.You'll begin by understanding the need for this transformation, exploring related challenges, the possibilities of technology, and how human factors can be involved in digital transformation. The book will enable you to overcome inhibitions and plan various transformation steps using the Transformation into Sustainable Healthcare (TiSH) model and DevOps4Care. Next, you'll use the observe, orient, decide, and act (OODA) loop as an iterative approach to address all stakeholders and adapt swiftly when situations change. Further, you'll be able to build shared platforms that enable interaction between various stakeholders, including the technology-enabled care service teams. The final chapters will help you execute the transformation to sustainable healthcare using the knowledge you've gained while getting familiar with common pitfalls and learning how to avoid or mitigate them.By the end of this DevOps book, you will have an overview of the challenges, opportunities, and directions of solutions and be on your way toward starting the transformation into sustainable healthcare.What you will learnUnderstand the need for transformation of healthcareAccelerate transformation using the TiSH modelGet to grips with stepped, networked, and integrated careApply DevOps methodologies for healthcare in DevOps4CareFind out how to handle complexities through the system of systems thinkingBundle and unbundle organizations for the delivery of true patient-centric healthcareWho this book is forThis book is written specifically for enterprise architects and management consultants dealing with transformation in healthcare. Professionals dealing with digital transformation of healthcare, including C-level executives such as chief medical information officers (CMIOs), CEOs, CIOs, and CFOs will also find this book interesting. Basic knowledge of IT systems and architecture will help you grasp the concepts easily.
Transforming Industry using Digital Twin Technology
by Manoj Kumar Ashutosh Mishra May El Barachi This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world.
Transforming It Culture: How To Use Social Intelligence, Human Factors And Collaboration To Create An It Department That Outperforms
by Frank WanderPractical, proven guidance for transforming the culture of any IT department As more and more jobs are outsourced, and the economy continues to struggle, people are looking for an alternative to the greed-driven, selfish leadership that has resulted in corporations where the workers are treated as interchangeable parts. This book shows how the human factors can be used to unlock higher returns on human capital such that workers are no longer interchangeable parts, but assets that are cared about and grown. Refreshingly innovative, Transforming IT Culture shows how neuroscientific and psychological research can be applied in the IT workplace to unleash a vast pool of untapped potential. Written by an expert on IT culture transformation Considers the widespread "cultural blindness" in business today, and how it can be addressed Draws on the author's repeated success transforming IT divisions across major corporations by applying the human factors Explains why social intelligence, human factors, and collaboration are the source of harmony, shared learning, mutual respect, and value creation Employees want positive change in business, something to stop the downward spiral we are on, both financially and emotionally. Transforming IT Culture shows how the essential ingredient to any high performing IT department is a culture where employees are valued and managed to their strengths. Using the Information Technology profession as a lens through which we can understand knowledge worker productivity and how to seriously improve it, this important new book reveals why Collaborative Social Systems are essential to every organization.
Transforming Learning and IT Management through Gamification
by Edmond C. Prakash Madhusudan RaoThis book explains how gamification, specifically enterprise gamification, can help mangers in multiple areas within an enterprise to improve attrition. Employee Engagement is an important component to foster employee relations with the organization. Gamification by its inherent design helps to increase engagement within an enterprise. Several successful case studies in Gamification are presented, which present new practical tips for Gamification for IT Management. By introducing general IT management concepts related to the specific environment managers work in, the authors then detail the benefits of introducing gamification in this very environment to resolve business issues. IT Managers, as well as HR professionals, Group Heads and Delivery Leaders will find this be a useful resource to understand how Gamification can improve their everyday work. The book can also be used as a reference for engaging learners and employees to improve their productivity in organizations.
Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019, Proceedings (Lecture Notes in Computer Science #11722)
by Maren Scheffel Julien Broisin Viktoria Pammer-Schindler Andri Ioannou Jan SchneiderThis book constitutes the proceedings of the 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, held in Delft, The Netherlands, in September 2019. The 41 research papers and 50 demo and poster papers presented in this volume were carefully reviewed and selected from 149 submissions. The contributions reflect the debate around the role of and challenges for cutting-edge 21st century meaningful technologies and advances such as artificial intelligence and robots, augmented reality and ubiquitous computing technologies and at the same time connecting them to different pedagogical approaches, types of learning settings, and application domains that can benefit from such technologies.
Transforming Management Using Artificial Intelligence Techniques (Artificial Intelligence (AI): Elementary to Advanced Practices)
by Vikas Garg Rashmi AgrawalTransforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.