Welcome to my Page

The Future of Corporations in the Age of Artificial Intelligence The corporation, historically the dominant economic organization, built its success on internal hierarchy and centralized control. This structure was optimized to solve the problem of coordinating many people across large distances. This foundational model is currently being questioned because Artificial Intelligence (AI) is the driver that seems to be rising to fundamentally change the game of economic organization. The Erosion of Traditional Corporate Structures Intelligent systems are fundamentally altering the organizational landscape by enabling the instant sharing of information and the management of complex agreements. This capability significantly reduces the nec...

LLMs vendors going for best Banking Analysts: The silent revolution reshaping both finance and Artificial Intelligence. The financial world is constantly in flux, but the current wave of disruption is emanating from Silicon Valley, fuelled by the explosive growth of AI and large language models (LLMs). Major AI developers, such as OpenAI, are actively looking past conventional tech recruitment, instead focusing on financial analysts from prominent investment banks. This raises a crucial question: Why are these LLM powerhouses interested in bankers, and what does this recruitment trend signal for the future of finance? Why Bank Analysts are a "Secret Sauce" for Smarter AI The answer lies in the highly structured, nuanced, and complex nature of financial operations and data. LLMs ...

AI Models or Large Language Models (LLMs) are trained on substansive datasets pulled from publicly available sources such as Wikipedia, online books, code repositories and online forums such as Quora and Reddit. In pursuit of efficiency, we treat LLMs as resource and companion or helper for data analysis, answers to questions, research and so on. We prompt, we iterate, and we integrate, often treating these models as infinitely knowledgeable sources. But behind every response from an LLM lies a fundamental, often overlooked truth: the chats and conversations are queries and core part of the model's continuous training data, often called Reinforcement Learning from Human Feedback (RLHF). This means the human-LLM interactions are constantly shaping the model's alignment, safety, and utility. We have a responsibility to understand the data lifecycle of the to...

My last propositional post, read here , I wrote a case study of how a financial institution can achieve a 35% improvement in asset allocation efficiency while drastically reducing compliance risk. The secret was not a mysterious new algorithm. The success rested entirely upon a superior control system: the Centralized AI Governance Platform . In the high-stakes world of asset management, this platform transforms Artificial Intelligence from a risky, isolated experiment into a secure, scalable, and auditable core capability. It shifts the entire organizational mindset, moving operations from nervously reacting to potential regulatory fines to confidently embedding legal and ethical guardrails from the project's inception. Building this ultimate digital guardian for AI-driven investment requires meticulous strategic architecture. We break down the essential components that enable this transformation ...

Integrating AI into finance makes Data Governance non-negotiable. While data has always been the core asset, AI's exponential demands such as velocity, volume, and variety, require a foundational governance. A directed data governance framework serves as the control plane and system of record for all AI-driven operations. This framework is essential for maintaining data integrity, security, and lineage, ensuring model auditability and regulatory compliance, and ultimately, maximizing the return on investment (ROI) from AI technology. Regulatory Reality: Regulators are no longer asking if you have AI governance, they are demanding to see it in action. For example, the EU's new AI Act establishes comprehensive, risk-based rules that directly impact financial institutions operating in the Euro area. Chapter VII is all about governance. ...

The Equilibrium: Balancing AI with Human Capital Artificial Intelligence, AI, is now operational reality reshaping how every modern business run. This technological leap imposes a fundamental, unavoidable trade-off on the global workforce: while vast categories of routine, repetitive roles face automation and displacement, we are simultaneously observing a substantial, urgent surge in demand for entirely new, specialized skills and functions. This transition is not a matter of reacting to events, rather demands a deliberate, logical, and process-driven strategy, one specifically balancing the need for technological efficiency with the imperative of workforce reskilling and human oversight. The success of any modern enterprise relies on its ability to manage the equilibrium between Artificial intelligence and human capital. The bottom line: AI transformation is happening already, and successful organizations are those approaching it with...