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Emotionally Intelligent Methods for
Meaningful Leadership

Emotionally Intelligent Methods for Meaningful Leadership

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

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

Useful & Usable

**This edition will be released in March 2027. If you want to get a copy ahead of then, have a look at our hardback edition, released in May 2026.** 'If you're worried about wasting your life, read this book.' Rutger Bregman, author of Humankind A ridiculously in-depth guide to finding a fulfilling and impactful career in an age of AI. You have about 80,000 hours in your career: 40 hours a week, 50 weeks a year, for 40 years. This means your choice of career is the most important decision you'll ever make. Choose well, and you can have a more rewarding, interesting life, and also help solve some of the world's most pressing problems. Choose poorly, and you could waste decades. So what should you do? Most advice is based on no research, instead offering (misleading) platitudes like 'follow your passion'. It's surprisingly out of date, focusing on traditional paths rather than those most likely to thrive in an age of AI. And if you want to help others, the advice is even more simplistic: telling you to choose careers like nurse or doctor, when there are paths in which almost anyone can save more lives. In fact, some careers have hundreds of times more impact than others, but most of us have no idea which ones. Benjamin Todd is the founder of 80,000 Hours, a non-profit that's spent over ten years researching how to have a meaningful and impactful career. Here he introduces a tried-and-tested toolkit framework that has already led thousands of people to change their path. It covers:<ul><li>What really makes for a dream job, and why finding it probably doesn't involve 'following your passion'.</li><li>How to identify which global problems are most pressing, and why they might involve AI as much as climate change.</li><li>Which roles are likely to be automated, and how to ensure yours isn't among them.</li></ul> It's also full of practical tips and tools. You'll come away with a plan to use your 80,000 hours in a way that's rewarding and fulfils your potential to make a difference. 'This career guide is among the most thoughtful and grounded I've seen.' Cal Newport, author of Deep Work 'A remarkably rigorous guide about how to find that perfect career for you.' Ali Abdaal, author of Feel-Good Productivity 'Based on evidence and good sense, not platitudes.' Steven Pinker, author of The Better Angels of our Nature 'The most informative book you can read if you're stuck trying to make one of life's most important decisions.' Hannah Ritchie, author of Not the End of the World

How to Have a Fulfilling Career That Does Good

80,000 Hours

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

A step-by-step guide to AI-native analytics systems for BI practitioners Building Business Intelligence Apps with AI provides a step-by-step guide for data analysts, data engineers, and BI developers who need to integrate AI into their analytics workflows. Written by Ryan Dolley, a data industry veteran with fifteen years of experience across BI development, consulting, and data vendor roles, this book shows how to partner with AI to deliver better data models, dashboards, and business queries while building AI-native experiences for end users. The book addresses data foundations, outsourcing repetitive tasks to AI, and scaling autonomous analytics systems that maintain accuracy and data governance. Readers learn practical steps for increasing individual and team effectiveness using AI while avoiding common pitfalls such as hallucination, data inaccuracy, and user abandonment. It delivers operating models that data departments need, covering everything from data blending and dashboard creation to personalization and responsiveness. Readers will also find: <ul> <li>Practical techniques for partnering with LLMs to accelerate data modeling, querying, and dashboard development across BI workflows</li> <li>Strategies to outsource repetitive analytics tasks to AI while maintaining rigorous data governance and accuracy standards</li> <li>Operating models for individuals and data departments to scale AI-native analytics systems that end users adopt</li> <li>Methods for building autonomous, personalized analytics experiences that address user expectations for speed and responsiveness</li> <li>Guidance on avoiding AI pitfalls including hallucination, data inaccuracy, and user abandonment in production analytics environments</li> </ul> Data analysts, data engineers, BI developers, and their managers will find in this book the specific skills and operating models needed to integrate AI into daily analytics work. It equips practitioners to build accurate, autonomous analytics systems while strengthening data governance and accelerating delivery across their teams.

AI Analytics for Business Intelligence

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

How the New Science of Mindset Can Transform Individuals, Teams, and Organizations

Cultures of Growth

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

<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

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

Artificial Intelligence and Blockchain in International Arbitration offers an exhaustive analysis of technology-assisted arbitration across the entire arbitral lifecycle by examining how blockchain and artificial intelligence are used in drafting and concluding arbitral agreements, in the constitution of the tribunal, in the overall procedural management of the case, on evidence and disclosure, on virtual hearings, and even on arbitral award drafting. It delves deeper into the limitations of automation, the non-delegable roles of arbitrators, and the compatibility of digital procedures with core arbitration principles such party autonomy, due process, equality of arms, secrecy, and impartiality. Additionally, it examines how new technologies interact with private international law, with the consent of the parties, the relevant legislation and how these technologies can be incorporated into arbitration without going against public policy, without violation due process rights and, in that way ensuring enforcement under the New York Convention.This book, by examining how blockchain and artificial intelligence are changing arbitral practice, provides a fresh and topical viewpoint on current debates in international arbitration and explores how these technological advancements are reshaping arbitration foundations while posing ethical challenges about the future of arbitration.

Artificial Intelligence and Blockchain in International Arbitration

Emotionally Intelligent Methods for Meaningful Leadership

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