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The Quiet Network

Titov K: The Quiet Network

Why the World's Largest Financial Institutions Are Betting on Canton

AI is moving faster into microfinance, mobile money, and rural banking than the governance frameworks built to keep it safe. This book closes that gap - not by importing rules written for European banks and Silicon Valley tech giants, but by building a governance model from the ground up for the institutions that serve the world's poor.Walk into a microfinance branch in South Asia and you will likely find a credit-scoring model running quietly over WhatsApp. Walk into a mobile-money agent network in East Africa and fraud detectors are blocking transactions in milliseconds. Walk into a national welfare programme in Latin America and an algorithm is triaging eligibility for millions of households a month. Almost none of these institutions have a Chief AI Officer, a model risk function, or the budget of a money-centre bank - yet the decisions their AI systems make land on customers who have no margin for institutional error.TRUSTWORTHY AI FOR FINANCIAL INCLUSION gives Chief Risk Officers, compliance leads, fintech founders, regulators, and field-level managers a practical, tiered roadmap for governing AI responsibly - without the budget, legal department, or data science team that enterprise frameworks assume.WHAT YOU WILL FIND INSIDE: <ul><li>A three-tier governance architecture you can scale to your institution's size - Foundation, Operational, and Advanced Readiness - so you build only the controls you actually need, when you need them.</li><li>The Core 8 Layers of Tier 1: decision ownership, human-in-the-loop gates, risk tiering, minimal data governance, model inventory, plain-language explainability, evidence logging, and incident escalation - deployable in ninety days for under US$10,000.</li><li>Lessons from the Grameen Bank tradition, translated into AI-era controls - showing how decades-old group-lending governance principles map directly onto modern model oversight.</li><li>Real-world case studies spanning group credit in Bangladesh, mobile-money fraud detection in East Africa, agri-credit scoring in Southeast Asia, and welfare eligibility algorithms in Latin America - each with what the institution got right, what it got wrong, and the governance lesson behind it.</li><li>A Maturity Mirror self-assessment that scores your institution across eight dimensions in an afternoon and tells you exactly which tier to target next.</li><li>Ready-to-use templates, checklists, SOPs, and a glossary in the appendices - built to be copied, adapted, and put into practice immediately, with no specialized training required.</li></ul>This is not a watered-down version of enterprise AI governance. It treats financial inclusion as a genuinely different problem - shaped by intermittent connectivity, low-literacy end users, thin customer data, heavy reliance on field officers, and a consequence asymmetry where one wrong automated decision can cost a household its livelihood. The frameworks here are designed for that reality, not adapted from one that ignores it.Written by Md. Imtiaz Uddoulla, drawing on eighteen years inside Bangladesh's banking, financial services, and insurance sector, this book is the first in The BFSI AI Governance Operating System series. It is for anyone who believes the world's most financially vulnerable customers deserve AI systems that are accountable, explainable, and built to serve them - not just systems efficient enough to replace the humans who once did.Whether you are a CEO who needs the one-hour version, a CRO building a governance roadmap for the weekend ahead, or a governance lead who will implement this end to end, this book gives you a clear, affordable, and field-tested path to trustworthy AI - starting now.

TRUSTWORTHY AI FOR FINANCIAL INCLUSION

In recent years, the financial services industry has witnessed a transformative shift driven by the integration of artificial intelligence (AI) technologies. "AI Agents Essentials for Finance and Banking" is designed to provide finance and banking professionals with a comprehensive and practical guide to understanding and implementing AI agents within their organizations. This textbook focuses on the specific applications of AI in critical areas such as retail banking, credit risk assessment, fraud detection, anti-money laundering (AML) and know-your-customer (KYC) protocols, payments, treasury management, capital markets, compliance, model risk management, cybersecurity, privacy, and governance. By honing in on these essential topics, this book aims to bridge the gap between theoretical knowledge and practical application, ensuring that professionals can effectively leverage AI agents in their daily operations. The book is structured to offer a publication-ready resource that combines rigorous academic insights with actionable frameworks tailored for the finance and banking sectors. Each chapter is meticulously crafted to address the unique challenges and opportunities that financial institutions face in adopting AI technologies. Readers will find a wealth of information on the implementation of AI agents, including best practices, case studies, and control frameworks that align with regulatory requirements. This practical approach is crucial for professionals who must navigate the complex landscape of financial services while ensuring compliance with evolving regulations and standards. A significant focus of this textbook is the governance and accountability of AI implementations within financial institutions. As organizations increasingly rely on AI agents for decision-making processes, the need for robust governance structures becomes paramount. This book emphasizes the importance of responsible AI practices, including ethical considerations, transparency, and risk management. By providing a thorough examination of these governance aspects, we aim to equip banking professionals with the necessary tools to implement AI technologies responsibly and effectively, thereby fostering trust and confidence among stakeholders. Furthermore, the exploration of specific applications such as fraud detection and AML/KYC compliance underscores the critical role of AI in enhancing operational efficiency and risk mitigation. The integration of AI agents in these domains not only streamlines processes but also enhances the accuracy and speed of decision-making. By delving into real-world examples and practical case studies, this textbook illustrates how AI can be harnessed to address pressing challenges in the financial sector, ultimately driving innovation and improving customer experiences. In conclusion, "AI Agents Essentials for Finance and Banking" serves as an indispensable resource for finance and banking professionals seeking to navigate the complexities of AI adoption in their organizations. By focusing on practical applications, governance, and compliance, this textbook equips readers with the insights and tools necessary to implement AI agents effectively and responsibly. As the financial landscape continues to evolve, this book aims to empower professionals to harness the potential of AI technologies while maintaining a commitment to ethical practices and regulatory adherence.

AI Agents Essentials for Finance and Banking

The asset management industry is undergoing a paradigm shift toward automation, transparency, and data-driven decision-making. Traditional tools (Excel, Bloomberg) are being replaced by programmable, scalable solutions. Yet most finance professionals lack accessible, practical training in applying Python to real portfolio problems.Python for Asset Management fills that gap. The book empowers non-programmers - portfolio managers, risk analysts, and students - to implement advanced models themselves. It responds to the growing demand for quantitative literacy in finance, especially in sustainable investing and smart beta strategies, areas of active research for both of the authors.Features<ul> <li>31 hands-on Python exercises with real data and executable code.</li> <li>Complete GitHub repository (MIT License) with all scripts, data pipelines, and results.</li> <li>Step-by-step implementation of VaR (historical, parametric, Monte Carlo), bond immunization, and factor models.</li> <li>Real-world decision tools - e.g., build a bullet/barbell/ladder bond portfolio, run Brinson-Fachler attribution, or backtest smart beta vs. index.</li> <li>Immediate applicability - every exercise produces a deliverable (e.g., optimal weights, risk report, attribution table) ready for client meetings.</li> <li>Focus on practical asset management workflows, not just theory.</li> </ul>

Python for Asset Management

ESSENTIALS OF DERIVATIVE SECURITIES

Regulating the Future of Work

Legal Governance of Agentic AI and Autonomous Agents

*VANITY FAIR'S BEST BOOKS OF 2025*ONE OF NEW REPUBLIC'S BOOKS OF THE YEAR*KIRKUS' BEST NONFICTION BOOKS OF THE YEAR 2025*ONE OF AV CLUB'S BEST BOOKS OF 2025*"[An] indictment of an industry that has cannily tilted the playing field in its favor. Bad Company details how clichéd abstractions like ‘consolidation’ and ‘efficiency’ have given cover to real betrayals.” - The New York TimesA timely work of singular reportage and a damning indictment of the private equity industry told through the stories of four American workers whose lives and communities were upended by the ruinous effects of private equity takeovers.Private equity runs our country, yet few Americans have any idea how ingrained it is in their lives. Private equity controls our hospitals, daycare centers, supermarket chains, voting machine manufacturers, local newspapers, nursing home operators, fertility clinics, and prisons. The industry even manages highways, municipal water systems, fire departments, emergency medical services, and owns a growing swath of commercial and residential real estate.Private equity executives, meanwhile, are not only among the wealthiest people in American society, but have grown to become modern-day barons with outsized influence on our politics and legislation. CEOs of firms like Blackstone, Carlyle, KKR, and Apollo are rewarded with seats in the Senate and on the boards of the country’s most august institutions; meanwhile, entire communities are hollowed out as a result of their buyouts. Workers lose their jobs. Communities lose their institutions. Only private equity wins.Acclaimed journalist Megan Greenwell’s Bad Company unearths the hidden story of private equity by examining the lives of four American workers that were devastated as private equity upended their employers and communities: a Toys R Us floor supervisor, a rural doctor, a local newspaper journalist, and an affordable housing organizer. Taken together, their individual experiences also pull back the curtain on a much larger project: how private equity reshaped the American economy to serve its own interests, creating a new class of billionaires while stripping ordinary people of their livelihoods, their health care, their homes, and their sense of security.In the tradition of deeply human reportage like Matthew Desmond’s Evicted, Megan Greenwell pulls back the curtain on shadowy multibillion dollar private equity firms, telling a larger story about how private equity is reshaping the economy, disrupting communities, and hollowing out the very idea of the American dream itself. Timely and masterfully told, Bad Company is a forceful rebuke of America’s most consequential, yet least understood economic forces.

*VANITY FAIR'S BEST BOOKS OF 2025*ONE OF NEW REPUBLIC'S BOOKS OF THE YEAR*KIRKUS' BEST NONFICTION BOOKS OF THE YEAR 2025*ONE OF AV CLUB'S BEST BOOKS OF 2025*"[An] indictment of an industry that has cannily tilted the playing field in its favor. Bad Company details how clichéd abstractions like ‘consolidation’ and ‘efficiency’ have given cover to real betrayals.” - The New York TimesA timely work of singular reportage and a damning indictment of the private equity industry told through the stories of four American workers whose lives and communities were upended by the ruinous effects of private equity takeovers.Private equity runs our country, yet few Americans have any idea how ingrained it is in their lives. Private equity controls our hospitals, daycare centers, supermarket chains, voting machine manufacturers, local newspapers, nursing home operators, fertility clinics, and prisons. The industry even manages highways, municipal water systems, fire departments, emergency medical services, and owns a growing swath of commercial and residential real estate.Private equity executives, meanwhile, are not only among the wealthiest people in American society, but have grown to become modern-day barons with outsized influence on our politics and legislation. CEOs of firms like Blackstone, Carlyle, KKR, and Apollo are rewarded with seats in the Senate and on the boards of the country’s most august institutions; meanwhile, entire communities are hollowed out as a result of their buyouts. Workers lose their jobs. Communities lose their institutions. Only private equity wins.Acclaimed journalist Megan Greenwell’s Bad Company unearths the hidden story of private equity by examining the lives of four American workers that were devastated as private equity upended their employers and communities: a Toys R Us floor supervisor, a rural doctor, a local newspaper journalist, and an affordable housing organizer. Taken together, their individual experiences also pull back the curtain on a much larger project: how private equity reshaped the American economy to serve its own interests, creating a new class of billionaires while stripping ordinary people of their livelihoods, their health care, their homes, and their sense of security.In the tradition of deeply human reportage like Matthew Desmond’s Evicted, Megan Greenwell pulls back the curtain on shadowy multibillion dollar private equity firms, telling a larger story about how private equity is reshaping the economy, disrupting communities, and hollowing out the very idea of the American dream itself. Timely and masterfully told, Bad Company is a forceful rebuke of America’s most consequential, yet least understood economic forces.

Private Equity and the Death of the American Dream

Bad Company

Independently published

How can a card from one bank work almost anywhere in the world?You tap a card, see "Approved," and walk away with a receipt. The merchant does not know your bank. The terminal has never seen your account. The card itself does not hold your money. Yet in a few seconds, several institutions have exchanged messages, checked risk, reserved funds, applied rules, and created records that will later determine who gets paid.How Payments Work explains what happens in that gap between the tap and the receipt.Payments have changed fast. Contactless cards reshaped checkout. Real-time payment rails launched across dozens of countries. Card networks moved into digital wallets and tokenized credentials. Buy now, pay later became a mainstream payment option. Stablecoins, central bank digital currencies, embedded finance, and open banking moved from specialist topics into everyday fintech conversations.But the names change faster than the mechanisms. Authorization is still different from clearing and settlement. A wallet token still points to an underlying card or account. Bank transfers still rely on a different trust model from card payments. Every payment method, old or new, has to answer the same practical questions: who can initiate the payment, who can reverse it, who carries the risk, who holds the funds, and who reconciles the records?Written for people entering payments, card issuing, merchant acquiring, banking, and fintech - and for professionals who already work in one part of the industry but want to understand the rest - How Payments Work explains the roles, flows, incentives, trade-offs, and failure points behind the payment products people use every day.The book covers: <ul><li>Card payments - issuers, acquirers, payment networks, processors, gateways, PSPs, merchant acquiring, card issuing, authorization, clearing, settlement, disputes, fees, and network rules.</li><li>Cards and credentials - card anatomy, magnetic stripes, EMV chips, contactless payments, mobile wallets, tokenization, virtual cards, PINs, CVV/CVC values, and 3-D Secure.</li><li>Transaction processing - ISO 8583, clearing files, settlement reports, authorization holds, posted and available balances, refunds, reversals, chargebacks, reconciliation, and payment accounting.</li><li>Card products and transaction types - debit cards, credit cards, charge cards, prepaid cards, commercial cards, card-present, card-not-present, recurring, card-on-file, pre-authorization, ATM transactions, and currency conversion.</li><li>Security, compliance, and regulation - payment fraud, PCI DSS, PSD2, PSD3, Strong Customer Authentication, GDPR, KYC, AML, onboarding, sanctions screening, and risk controls.</li><li>Bank payment rails - ACH, SEPA, SWIFT, correspondent banking, ISO 20022, instant payment systems, and how bank transfers differ from card payments.</li><li>Alternative payment methods and fintech infrastructure - digital wallets, BNPL, QR payments, local payment methods, open banking, account-to-account payments, neobanks, Banking-as-a-Service, embedded finance, stablecoins, CBDCs, DeFi, Web3 finance, and AI in fintech.</li></ul>This is not a provider manual, API tutorial, legal textbook, or collection of fintech trends. It is a structured explanation of how payment systems work under the hood: how information moves before money does, where risk sits at each stage, and why the same transaction looks different depending on which side of the system you are on.Whether you are starting a career in payments or trying to understand the industry you already work in, How Payments Work gives you the foundation most professionals spend years picking up through separate projects, systems, and incidents.

The Hidden Infrastructure Behind Cards, Banks, Wallets, and Fintech

How Payments Work

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Master Fintech Innovation, AI, and the Future of Global Finance Mastering the Future of Finance: How Data, Trust, and Tech Are Reshaping the Global Economy provides a structured learning journey through the forces redefining financial services. Written by Michelle Beyo, CEO of Finavator and a fintech leader with over 20 years of experience, this book maps the convergence of AI, open data, and digital identity into a strategic foundation for the digital economy. This book cuts through the noise of Fintech, BaaS, embedded finance, open data, digital identity, cybersecurity, AI, blockchain, and the rise of digital currencies to give you the knowledge to understand, adapt, and lead. The book builds understanding step by step across ten comprehensive chapters, giving every reader the context to navigate the future of finance. Beyo introduces the 9 Influential Elements as core principles of transformation and examines how data rights, trust frameworks, and emerging technologies create both opportunity and responsibility for organizations. Readers will also find: <ul> <li>Financial Innovation.&nbsp;Practical analysis of the rise of Fintech, Banking as a Service (BaaS), and the shift from Embedded Finance to Agentic Payments.</li> <li>Trust as the New Currency.&nbsp;Exploration of Digital Identity, Data Rights, and Cybersecurity strategies underpinning consumer-centric financial system design.</li> <li>Groundbreaking Technology.&nbsp;Coverage of AI applications, Blockchain, and Digital Currencies, including Stablecoins and Wholesale CBDCs as transformative innovations.</li> <li>Global Perspectives.&nbsp;Insights drawn from the author's direct experience and interviews with a diverse roster of industry experts and visionary thinkers who are featured speakers at major global events.</li> </ul> Designed for leaders at financial institutions, fintech founders, and professionals seeking to understand where finance is heading, this book connects technology trends with trust principles to equip readers with the strategic perspective needed to lead in a rapidly evolving financial landscape.

How Data, Trust, and Tech Are Reshaping the Global Economy

Mastering the Future of Finance

The Money Flywheel is a fictional financial novel about Rahul, a 25-year-old young professional who earns ₹32,000 a month but constantly runs out of money.After finding himself with only ₹1,842 before payday, Rahul meets Mr. Mehta, an experienced businessman who teaches him that financial freedom is not about finding a magical investment or getting rich quickly. It is about building a system.Rahul learns the principles of the Money Flywheel: Earn → Capture → Protect → Multiply → Upgrade → RepeatOver the next five years, Rahul's journey takes him through everyday financial challenges: uncontrolled spending, lifestyle inflation, emergencies, debt, salary increases, investment temptation, career growth, side income, and financial mistakes.Along the way, he is joined by Priya, who learns the importance of emergency savings; Arjun, who struggles with unpredictable freelance income; Neha, who discovers that a high salary does not automatically create wealth; and Sameer, who faces the reality of debt.The characters make mistakes, learn from them, and gradually build stronger financial habits. Rahul eventually reaches the financial milestone he once believed would solve everything. But when he reaches it, he discovers the real achievement is not the money itself.He has changed.He has learned how to manage money, protect himself from setbacks, increase his earning power, and make financial decisions with patience instead of emotion.The novel's central message is: "The goal is not to finish the flywheel. The goal is to keep it moving."The book is therefore both a story and a practical reflection on money, designed especially for young Indians who want financial independence without unrealistic promises or get-rich-quick schemes.

The Money Flywheel

Financial Engineering With Python

The Quiet Network

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