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Digitalization and the Transformation of
the Healthcare Sector

Digitalization and the Transformation of the Healthcare Sector

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Something's changed.Your product's getting copied faster. Buyers are harder to reach. Campaigns cost more and deliver less. The growth engines that used to reliably deliver pipeline and sales are all starting to stall.This isn't a dip. It's a reset. AI is moving faster than most companies can adapt. Market-Led Growth shows you how to rebuild for this new reality, where demand shifts overnight, and the old go-to-market models can't keep up.This isn't a book of hacks. It's a blueprint for running a business that learns faster than the market changes. You'll learn how to spot signals early, test what works, and scale before the window closes. If you're still running the last decade's playbook with diminishing returns, this book will show you what to do instead.

A new operating system for business in the age of AI

Market-Led Growth

Future of Business and Finance

Amid global crises—pandemics, conflicts, energy shocks—this book explores how resilient, innovation-driven business models are reshaping industries. It presents a multidisciplinary framework enriched by 18 case studies, revealing how firms evolve from static structures to dynamic, ethical ecosystems. Resilience is not a temporary fix but a strategic foundation for long-term impact. These models emphasize adaptability, sustainability, and systemic awareness. The book bridges academic insight and practical relevance, offering a roadmap for leaders, entrepreneurs, and scholars navigating complexity. It redefines business strategy as a generative act—aligning value creation with meaning and shared purpose.

Innovating Through Global Challenges to Creating Sustainable Futures

Resilient Business Models

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to:- Define a clear strategy for integrating agentic AI- Establish governance frameworks to manage risk and accountability- Drive workforce adoption and address resistance to AI collaboration- Assess economic value and impact of agentic AI systems- Manage reputational and operational risks from AI agent behaviorFeaturing real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Terroristische Anschläge und Terrorwarnungen dämpfen die Reiselust und verändern das Reiseverhalten. Viele Touristen verzichten in der Folge auf Fernreisen und bevorzugen die heimischen Gefilde bei der Urlaubswahl. Wolfgang Aschauer geht auf die Zusammenhänge zwischen Terrorismus und Tourismus im Detail ein. Er zeigt aus soziologischer Perspektive, welche Zielsetzungen islamistische Terrorgruppen bei Anschlägen verfolgen. Er skizziert im Detail, welche Effekte der Terror auf die touristische Nachfrage, auf Reisemotive und auf das touristische Verhalten hat. Auch auf die Frage, wie der touristische Angebotsbereich dem Phänomen des Terrorismus durch ein angemessenes Krisenmanagement begegnen könnte, geht er ein. Die neue Reihe Tourism NOW stellt Ihnen künftig spannende Themen aus der faszinierenden Welt des Tourismus vor. Im Mittelpunkt steht Aktuelles und Innovatives - stets leserfreundlich für Sie aufbereitet. Diese Reihe bietet Destinationsmanagern, Produktentwicklern in Tourismusunternehmen sowie Wirtschaftsförderern und nicht zuletzt Hoteliers spannende Impulse. TourismuswissenschaftlerInnen hält sie darüber hinaus über aktuelle Entwicklungen auf dem Laufenden und bietet interdisziplinäres und zitierfähiges Wissen.

Tourism NOW: Tourismus und Terrorismus

Should we give up privacy to fight disease, for national security, or to help train AI systems? Recent crises, from the Covid-19 pandemic to the Russian invasion of Ukraine, from Gaza and Afghanistan to the seemingly unstoppable rise of AI, have put privacy under severe pressure. Privacy in Crisis argues the opposite: these crises show that privacy needs to be protected even more. Privacy in Crisis looks at vital current issues: at political manipulation and misinformation, government surveillance, racial tension, hybrid and cyberwarfare (and real wars, such as those in Ukraine and Gaza), the overwhelming power of the internet giants, and surveillance society, and how interference with privacy is key in all of them. It shows how specific crises bring many of these issues together in perfect storms of privacy invasion. The different threats to our privacy revealed by these crises tell parallel stories and are inextricably linked. There are common themes and common technologies - the threats involve the same data, the same profiling systems and the same approaches. In many cases the systems are run or owned by the same small set of companies, controlled by the same few people. Addressing them is difficult but possible - this essential book outlines how.

Law and Policy in Times of Extremism, Pandemics, and War

Privacy in Crisis

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

AN INSTANT NATIONAL BESTSELLER “Evenhanded and insightful.”&nbsp; —Publisher’s Weekly (starred review) “An accessible, often fascinating primer.... Essential, illuminating reading.” —Kirkus From the author of the New York Times bestseller The Digital Doctor comes an engaging, clear-eyed, and ultimately hopeful examination of healthcare’s efforts to embrace generative artificial intelligence. In A Giant Leap, physician and thought leader Robert Wachter navigates between hype and skepticism to make a compelling case for AI’s power to transform healthcare. He argues that, in a system buckling under the weight of bureaucratic pressures, soaring costs, and clinician burnout, AI doesn’t need to be perfect—it only needs to be better. Drawing on extensive research and more than 100 interviews with pioneers across medicine, technology, policy, and business, Wachter shows how AI is already entering hospitals and clinics to draft notes, field patient questions, recommend treatments, interpret images, and guide surgeries. He unflinchingly confronts risks like hallucinations, biases, and misinformation, while revealing how AI can now match, and sometimes surpass, physicians in areas ranging from diagnosis to empathy. But this isn’t simply a technology story. It’s about the human choices that will determine whether AI becomes healthcare’s salvation or another source of harm and frustration.&nbsp; Blending clinical insight, vivid storytelling, and journalistic precision, A Giant Leap offers an indispensable roadmap for healthcare leaders, clinicians, and patients. It&nbsp;is a vibrant and timely account of how AI is changing what it means to care—and be cared for—in this age of astonishing technology.

How AI Is Transforming Healthcare and What That Means for Our Future

A Giant Leap

This book brings together a set of contributions through which it is possible to understand the recent evolution and the moment of disruption in which the textile and fashion industry finds itself.

Considered for a long time as a traditional industry with a reduced technological component, its competitiveness is now imposed by technological dominance, both in terms of new materials or processes based on biotechnology, and in terms of data processing and digitalization of processes, from production to omnichannel distribution, the use of metaverse and Artificial Intelligence.

In this book, the cases of the Zara and Shein brands, new materials and digitalization of processes along the entire value chain are analyzed. Everything is in transformation, including Fashion Education.

All these changes will lead to questions about the circularity and sustainability of the industry.

Proceedings of the Global Fashion Conference, October 11th-12th 2024

Fashion Works

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Digitalization and the Transformation of the Healthcare Sector

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