Show Ai--Don't Tell It
The secret to AI adoption? Stop explaining the tech--help your organization visualize business success. Stakeholders don't invest in AI because they understand the tech--they invest when its business impact is clear and undeniable. In Show AI--Don't Tell It, AI executive and business strategist Dr. Lisa Palmer reveals how to use visual storytelling to make AI's value tangible, turning complex ideas into clear business outcomes that drive buy-in, adoption, and scale. Instead of vague theories and hype, this book provides clear frameworks, practical tools, and proven visualization techniques to help leaders secure funding, accelerate implementation, and maximize AI's impact. Applying her Bold AI Leadership Model, Dr. Palmer lays out a structured approach to AI success: Mindset: The four Applied AI Guiding Principles--Business Value, Speed with Rigor, Simplicity, and Human-Centricity--keep AI initiatives focused, efficient, and impactful. Strategic Priorities: The five AI Success Pillars--Value Creation, Customer-Centricity, Collaborative Teams, Cultural Shifts, and Data as a Strategic Asset--ensure AI drives measurable business results. Practical Tools: The Visualization Tool Decision Framework, featuring over 20 strategic visualization tools, helps leaders simplify complexity, overcome resistance, and communicate AI's impact with clarity and confidence. A must-read for executives, business leaders, and AI practitioners, Show AI--Don't Tell It provides the mindset, strategy, and tools needed to translate AI's potential into tangible value. Whether you're seeking stakeholder buy-in, funding approval, or faster adoption, this book shows you exactly how to use visual storytelling to accelerate business success with AI.
Image Analysis in Stroke Diagnosis and Interventions
This book constitutes the refereed proceedings of the 4th International MICCAI Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2024, as well as the Ischemic Stroke Lesion Segmentation Challenge, ISLES 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024. The 12 revised full papers presented in this volume were selected form 16 submissions. The papers describe research advancements in image analysis for the diagnosis and intervention of ischemic and haemorrhagic stroke and present the latest developments in segmentation, disease prognosis, stroke diagnosis and treatment, and other clinically relevant applications.
The Impact of the Digitalization on the Human Resource Management
Next Generation Internet
The development of the internet, particularly the World Wide Web, is currently hitting its limits--both technically and socio-culturally, as well as economically. A new internet is promised as a solution, one that aims to overcome the boundaries between the real and the virtual world, merging reality and digitality--the metaverse. Technical, semantic, and organizational details are closely intertwined in this context. But what does this mean upon closer examination? What technical and technological challenges must be overcome to achieve such a merging? What economic opportunities arise--and which ones may be precluded? How can we ensure that an open and universally accessible metaverse is created? And how can we prevent a few large providers from imposing their proprietary ideas in this new metaverse? This book aims to provide answers to these questions.
Why We Fear AI
Fears about AI tell us more about capitalism today than technology in the future.Will AI come and take all our jobs? Will it dominate humanity, hack the foundations of our civilization, or even wipe humans of the face of the planet? All kinds of people seem to think so. From academics to billionaires, artists to fraudsters, journalists to the pope, AI nightmares have gripped the popular imagination. Why We Fear AI boldly asserts these fears are actually about capitalism, reimagined as a kind of autonomous intelligent agent. Science and tech industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted, and arcane world of AI nightmares in order to demystify what people say about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble, and show how fears about AI reflect very different economic realities: from venture capitalists to AI engineers, from artists to warehouse workers at Amazon. If we want to understand the fears and potential impacts of AI, we must think about capitalism, the economy, and class power in real terms we can confront and wage our struggles on.Blix and Glimmer argue that AI nightmares reveal the terrifying underbelly of our current society, of the violence and alienation at the root of capitalism and its way of organizing our world in its image. If we simply let capitalism and tech billionaires run wild, we can expect the worst: automated bureaucracies that protect the powerful and punish the poor; an ever-expanding surveillance apparatus; the cheapening of skills, downward pressures on wages, the expansion of gig-work, and crushing inequality. But that outcome is not inevitable, however much capitalist may dream of it. Why We Fear AI points the way to a different and brighter future, one where our labor, knowledge, and technologies serves us, rather than us serving capital and its owners.
Exam Ref MD-102 Microsoft Endpoint Administrator
Prepare for Microsoft Exam MD-102 and help demonstrate your real-world mastery of the skills and knowledge required to deploy, manage, and protect modern endpoints at scale in Microsoft 365 environments. Designed for endpoint administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Prepare infrastructure for devices Manage and maintain devices Manage applications Protect devices This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with Microsoft Entra ID and Microsoft 365 technologies, including Intune, as well as strong skills and experience in deploying, configuring, and maintaining Windows client and non-Windows devices About the Exam Exam MD-102 focuses on the knowledge needed to prepare infrastructure for devices; enroll devices to Microsoft Intune; implement identity and compliance; deploy and upgrade Windows clients by using cloud-based tools; plan and implement device configuration profiles; plan remote actions on devices; manage applications; deploy and update apps; plan and implement app protection and app configuration policies; configure endpoint security; and manage device updates by using Intune. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Endpoint Administrator Associate credential, demonstrating your ability to implementing solutions for efficient deployment and management of endpoints on various operating systems, platforms, and device types; implement and manage endpoints at scale by using Microsoft Intune, Microsoft Intune Suite, Windows Autopilot, Microsoft Copilot for Security, Microsoft Defender for Endpoint, Microsoft Entra ID, Azure Virtual Desktop, and Windows 365; and implement identity, security, access, policies, updates, and apps for endpoints. See full details at: microsoft.com/learn
Computing, Communication and Learning
This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
Artificial Intelligence: Methodology, Systems, and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18-20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
Improving Decision Making Using Semantic Web Technologies
As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain knowledge, explainability of machine learning (ML), and issues of interoperability, data quality, and GDPR (General Data Protection Regulation) compliance in data sharing hinder effective decision making. This book addresses these critical challenges by exploring how the synergy of semantic technologies (SW), like ontologies and knowledge graphs, with or without ML, can overcome these challenges to improve decision making. Through real-world case studies in data sharing, manufacturing, and agriculture, it offers theoretical and practical insights and guidelines of how SW can enhance prediction accuracy, integrate domain knowledge, support ML explainability, and tackle interoperability, data quality, and GDPR challenges.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 18-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Advanced Sensors for Smart Healthcare
Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.
Sensor Networks for Smart Hospitals
Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.
Proceedings of 5th International Ethical Hacking Conference
Microsoft Copilot for Dummies
Straightforward guidance on the AI tool that's built into Windows, Microsoft 365, and more Microsoft is enhancing all its most widely used productivity software--including Windows and apps like Word and Excel--with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies! You'll discover how to write Copilot-friendly prompts, enhance output with integrated Copilot tools, and how to apply Copilot functions to project management and other specific tasks and disciplines. In the book, you'll find out how to: Use text or your voice to prompt reliable results from Microsoft Copilot Customize Microsoft Copilot to respond to your unique needs and demands Add plug-ins to the Microsoft Copilot service to extend its functionality even more Learn to supercharge your efficiency with Microsoft Copilot For Dummies. This book is perfect for professional and home users of Windows, Microsoft 365, and other Microsoft products and software who want to increase their productivity. Grab a copy today!
Strategic Writing for UX
When you depend on users to perform specific actions--like buying tickets, playing a game, or riding public transit--well-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, you'll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy. This second edition by Torrey Podmajersky is an essential resource, thoroughly updated to incorporate the latest in collaborative tools and considerations for AI-generated UX content. It reflects significant advancements in the field of content design, updating every chapter with the latest UX methods and styles. Understand the integration of UX content with the software development lifecycle Learn content-first design to anchor UX text in meaningful dialogue Apply UX text patterns effectively across varied brand voices Enhance product usability and conversion with strategic UI text applications Clearly articulate the business value of dedicated UX content efforts
Optimization and Data Science in Industrial Engineering
This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, Turkey, during November 16-17, 2023. The 33 full papers and 2 short papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The papers were organized in the following topical sections: Part I: smart and intelligent transportation systems; machine/deep/reinforcement learning in industries; and advances of artificial intelligence/operational research tools in healthcare. Part II: technology, learning and analytics in intelligent systems; expert systems, decision analysis, and advanced optimization; digital transformation of supply chain and logistics systems.
Optimization and Learning
This book constitutes the refereed proceedings of the 7th International Conference on Optimization and Learning, OLA 2024, held in Dubrovnik, Croatia, during May 13-15, 2024. The 24 full papers presented here were carefully reviewed and selected from 64 submissions. They were organized in the following topical sections: synergies between optimization and machine learning; enhancing optimization and learning techniques; transportation and routing; and applications.
Optimization and Data Science in Industrial Engineering
This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, Turkey, during November 16-17, 2023. The 33 full papers and 2 short papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The papers were organized in the following topical sections: Part I: smart and intelligent transportation systems; machine/deep/reinforcement learning in industries; and advances of artificial intelligence/operational research tools in healthcare. Part II: technology, learning and analytics in intelligent systems; expert systems, decision analysis, and advanced optimization; digital transformation of supply chain and logistics systems.
Games and Learning Alliance
This volume LNCS constitutes the refereed proceedings of the 13th International Conference on Games and Learning Alliance, GALA 2024, held in Berlin, Germany during November 20-22, 2024. The 30 full papers and 15 short papers were carefully reviewed and selected from 103 submissions. They focus on Designing for Engagement;​​​​​​, Sustainability and Environmental Literacy in Serious Games; Detecting Deception and Developing Leadership; Futures Literacy; Serious Games for Health and Immersive Learning.
Sport and Video Games
This book explores the complex relationships between sport and video games, two of the largest entertainment sectors globally. Focusing on those games that depict real-life sports and athletic competitions, from FIFA, Madden, and NBA 2K to Football Manager and Tony Hawk's Pro Skater, the book examines how sport has influenced gaming, and vice versa, and how this relationship is likely to develop in the future. Arguing that sports games are a unique interface between virtual worlds and our real-life social worlds, the book examines the concept of simulation; how the performance of athletes and teams in the real world influences video games; and whether those close links enhance or limit the player's experience. It also considers how video games are used by leagues and sports franchises, through sponsorship and in-game advertisements, to reinforce their brands. Furthermore, it presents a concise history of sports video games, and using narrative methods, it takes a close look at the importance of storytelling in sports video games, not only in the sense of the stories built into the structure of a game but also in the way that fans and media organizations build their own stories in sport, in both real and virtual worlds. The book also asks how sports video games illuminate our understanding of key social issues, including race and gender. This is fascinating reading for anybody with an interest in the sociology or culture of sport or video games, sport business, or the gaming industry.
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
