Fraud
Enterprise fraud management in the Middle East
A five-layer operating model and build-buy-partner lens.
Read guideInsights
Practical guidance for consequential financial decisions.
The Insights library brings together vendor-neutral guides on fraud-risk products, banking AI governance, RegTech strategy, AI in FP&A and financial-services capability. Each piece is designed to help a practitioner frame a decision, test assumptions and identify the evidence required to move responsibly.
Featured guides
Start with a decision page
AI governance
AI governance in banking
Seven lifecycle control gates from purpose to retirement.
Read guideRegTech
RegTech and FinTech product strategy
How to make sourcing, roadmap and adoption decisions together.
Read guideFinance
AI in FP&A
A controlled workflow for analysis, forecasting and narratives.
Read guideLearning
AI training for financial services
Role-specific, bilingual and governance-aware programme design.
Read guideProduct
Fraud and risk product strategy
A decision system for portfolios, roadmaps and operating models.
Read guideComplete article archive
Thirteen original articles in one searchable archive.
Browse the full 2022–2023 FinData Lake archive by topic. These pages remain live and indexable at their original URLs.
13 articles shown.
DeFi Fraud and Risk: Innovation or Financial Crime?
Examine DeFi benefits and risks, including smart-contract vulnerabilities, manipulation, scams, governance gaps and regulatory considerations.
Read original articleNLP and Generative AI for Risk Management in Banking
Explore NLP and generative AI use cases in banking risk, alongside data, governance, validation, human oversight and implementation constraints.
Read original articleESG Risk Management in Banking: A Practical Guide
A practical introduction to ESG risk in banking, covering materiality, governance, data, scenario analysis, monitoring and financial decisions.
Read original articleRegTech in Financial Institutions: An Implementation Guide
Understand where RegTech supports compliance, monitoring and reporting—and what financial institutions need for safe, governed implementation.
Read original articleQuantitative Risk Management in Banking: 7 Practices
Seven practices for using models, scenarios, stress tests, data, expert judgement and cross-functional collaboration in banking risk management.
Read original articleCentral Bank Digital Currencies: Benefits and Risks
Explore how central bank digital currencies may affect payments, inclusion, monetary systems, privacy, cyber risk and financial institutions.
Read original articleFraud Risk Management Best Practices for Banks
A practical overview of fraud governance, detection, prevention, investigations, analytics and continuous improvement for financial institutions.
Read original articleData Storytelling for Risk Analysts
Learn how risk analysts can turn complex evidence into clear narratives that clearly explain exposure, uncertainty, controls and management action.
Read original articleOpen Banking vs Closed Banking: Strategy and Risk
Compare open and closed banking models, including data access, APIs, ecosystems, customer value, control, innovation and implementation risk.
Read original articleData Storytelling for Financial Analysts
Learn how financial analysts can connect numbers, context and narrative to explain performance, surface drivers and support better decisions.
Read original articleData Modeling Types for Better Business Decisions
Understand descriptive, predictive and prescriptive data models, when each is useful, and how modeling choices clearly shape business decisions.
Read original articleHow Data Analytics Improves Business Revenue
Explore how analytics supports revenue decisions through customer insight, pricing, forecasting, operational visibility and better management questions.
Read original articleHow to Lead Data-Driven Change in Business
A practical guide to data-driven change: align decisions, people, governance and analytics so business teams can turn information into action.
Read original articleArchive articles retain their original publication dates. Current regulatory or market decisions should also use the reviewed 2026 guides and current primary sources.
Current YouTube library
Six videos from Ahmed's owned channel.
Arabic and English videos on AI in finance, Agentic AI and practical financial decision-making.
Ahmed El-Shamy · YouTube
الذكاء الاصطناعي والمالية أسرار وتحليلات من الواقع - لقاء مع أحمد الشامي
Watch on YouTube
Ahmed El-Shamy · YouTube
AI & ChatGPT Revolution in Finance Generative AI Unleashed!
Watch on YouTubeFollow the live thinking
Four feeds. One connected body of work.
Move between long-form professional analysis, fast commentary, video teaching and community conversations through Ahmed's official public profiles.
Load live feeds
Watch or read without making the page heavy by default.
The live YouTube playlist and X timeline are available on demand. LinkedIn and Facebook remain direct public-feed links because their personal-feed embed options are restricted or less reliable.
YouTube uploads
AI, finance and applied decision-making on video
Load the current uploads playlist from Ahmed's owned channel. Playback never starts automatically.
X timeline
Short-form observations from @realElShamy
Load the official public timeline widget with X's do-not-track setting requested.
External feeds load only when requested. The destination service may then receive device, browser and page information under its own privacy terms.
Editorial standard
Primary sources, visible assumptions and practitioner language.
Regulatory content should show a review date and link to the current primary source. Examples remain public-safe and vendor-neutral. Claims are separated from hypotheses, and every framework should give the reader a practical next action.
Start with the decision
Bring the context. We can define the right next question.
For advisory, executive education, media or academic enquiries, share the decision you are facing, the audience involved and the outcome you need.