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Emotionally Intelligent Methods for
Meaningful Leadership

Emotionally Intelligent Methods for Meaningful Leadership

Sell Smarter provides insights into the overlap between artificial and emotional intelligence, and the challenges leadership faces, especially in sales. Today's buyers and sellers stand at the threshold of transformation, equipped to harness data, empathy, and technology to elevate every interaction. In this new era of AI business models, decisions unfold with confidence and speed, driven by sharper insights and a richer understanding of what truly matters.Past distinctions between the characteristics of hunters and farmers are giving way to a dynamic fusion: the best sales professionals blend relentless drive with genuine care, adaptability, and self-awareness-qualities strengthened by both AI and emotional intelligence (EQ). Outdated professional selling labels don't define tomorrow's leaders; they champion progress, remain humble, and stay alert to innovations that not only enhance performance but also build lasting trust.Embrace this journey not as a shift in tactics, but as an awakening-one where every seller and buyer unlocks new levels of possibility. The future will reward those who combine insight with heart, technology with empathy, and strategy with authentic connection.

Sell Smarter

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

This book offers an alternate trajectory for EU copyright law. Building on cultural norms in creative communities to reuse, recreate and share, the book proposes a more holistic approach to reconcile conflicting copyright interests. Drawing upon Niklas Luhmann's system theory, John Dewey's theory of art and feminist data theory, it advocates access to, and care within, creative communicative spaces, such as social media platforms or artificial intelligence (AI) data infrastructures, to safeguard creativity and cultural production online. Following a comprehensive assessment of current EU copyright law and related regulation, it proposes a rebuttable presumption of artistic communication to account for the nature of communication between authors, users and the public that safeguards creative reuse. The book isolates the question of remuneration, particularly in AI context, as one of collective socio-cultural value to address wider harms through a cultural commons existing on the border of the EU copyright system. Reflecting on traditional copyright concepts such as authorship, consent and remuneration alongside more novel legal structures like a right of collective informational self-determination, Reshaping EU Copyright Law to Support Creativity Online provides a foundation to reshape how the EU copyright system and its regulatory neighbours adequately respond to new forms of creativity, dissemination, and its use.

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

Due to disruptions occurring within production processes as a result of different circumstances, it is necessary to provide a new and safe production system that can be resilient to cope with any crisis, such as a pandemic. New sustainable automated production systems need to be proposed and adopted by industrial managers and this book fulfills that need.Sustainable Automated Production Systems: Industry 4.0 Models and Techniques includes the modern technologies of Industry 4.0 and discusses automated systems, robotic production, sustainable automation, production process automation, and the use of IoT in production. It goes over the circular economy and automated production processes and presents theories and practices associated with mathematical models of process automation in sustainable production. The book also investigates how sustainability in automated production systems using the IoT can present unique circumstances when pandemics or other disruptions are involved.The book includes chapters presenting sustainable production models and automated production using Industry 4.0 technologies and is targeted to help both practitioners and academics.

Industry 4.0 Models and Techniques

Sustainable Automated Production Systems

Generative AI in Software Development: A Practical Guide for Engineering Leaders explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn't a theoretical or academic deep dive; it's a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer.What sets this book apart is its balance: it's not just for hardcore engineers nor is it a high-level overview filled with buzzwords. Instead, it sits at the intersection technical enough to be useful but accessible enough for product managers and decision-makers. The industry is at an inflection point where AI-assisted development is no longer optional; it's become essential. This book fills the gap for those who want to move beyond the hype and see exactly how generative AI can speed up development, improve code quality, and change the economics of software delivery.

A Practical Guide for Engineering Leaders

Generative AI in Software Development

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

<div> Build the practical skills to live with purpose and lead with integrity </div> <div> In How to Be a Good Human: Building the Skills to Live Fully, Lead Honestly, and Show Up for What Matters, Amber Cabral delivers a practical guide to developing the interpersonal and self-awareness skills that define meaningful living and authentic leadership. Built on her Human(ing) Well Resilience Framework-organized around four pillars: health, wealth, relationships, and growth-the book provides readers with actionable approaches to showing up more intentionally in their personal and professional lives every day.&nbsp; </div> <div> How to Be a Good Human explores the specific habits, mindsets, and communication practices that allow individuals to engage more honestly with themselves and others. Cabral addresses the real challenges people face when trying to align their values with their actions, offering concrete techniques for building self-awareness, developing resilience, cultivating empathy, and navigating interpersonal dynamics with clarity and confidence.&nbsp; </div> <div> Readers will also find: </div> <div> <ul> <li>Strategies for developing self-awareness rooted in embodiment that translates directly into stronger relationships and more effective personal and professional leadership</li> <li>Practical tools for navigating interpersonal challenges-including reciprocity, repair, asking for help, and saying no-with honesty, empathy, and a commitment to mutual understanding&nbsp;</li> <li>Approaches to aligning daily actions with core values so that integrity becomes a consistent practice rather than an aspiration&nbsp;</li> <li>Techniques for building resilience, capacity, and accountability habits that foster trust and strengthen connections across personal and workplace settings&nbsp;</li> <li>Guidance on showing up authentically in high-stakes moments where leadership, empathy, and honest communication matter most&nbsp;</li> <li>Ideal for professionals, emerging and established leaders, and anyone seeking to strengthen their interpersonal skills, How to Be a Good Human offers a grounded, actionable path toward living with greater intention, leading with honesty, and making meaningful contributions in every area of life.&nbsp;</li> </ul> </div>

Building the Skills to Live Fully, Lead Honestly, and Show Up for What Matters

How to Be a Good Human

A practical method, backed by peer-reviewed research, for reimagining work to create your most distinctive, creative, energetic, and relatable professional self.In far too many organizations, the idea of bringing your 'full self' to the job is a liability.Emotion beyond enthusiasm for the task at hand is deemed unprofessional. Personal identity must be compressed into a carefully curated bio: relatable yet inoffensive.When people are conditioned to flatten the full social and emotional complexities of themselves, spirits dull and progress stalls, in life and in the workplace.But for a growing number of people, especially younger generations, this form of workplace culture no longer works. Surveys show that fewer individuals are willing to sacrifice their time and quality of life for a career, let alone an organization. With an increased focus on purpose, meaning, and mental health, many refuse to scrub their emotions, or the full range of their identities, to keep their professional lives separate.At the same time, in more progressive settings, the encouragement to bring people's full selves to work has sometimes unleashed more authenticity and personal revelation than managers and teams know how to handle.So how do we get it right?Lively and accessible, Human Mode features vibrant stories, expert insights, evidence-based techniques, and 'ah-ha' takeaways you can use immediately.Discover how to engage your inherent superpower - being immensely human - to unlock progress, connection, and achievement in your working life.

Unlock Your Unique Edge and Transform Your World of Work

Human Mode

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 behavior Featuring 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

Emotionally Intelligent Methods for Meaningful Leadership

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