So, I've been thinking about AI and the universe. Not in the way most people are thinking about AI right now, the jobs, the regulations, the existential risk headlines. Deeper than that. More fundamental. What if the emergence of artificial intelligence isn't primarily a technological story? What if it's an evolutionary one? That question is what drove me to develop a philosophical framework I call Emergent Participatory Cosmism. I've spent some time building it into a full a

The transformation is already underway. Cornerstone Advisors finds 59% of credit unions have deployed generative AI. The NCUA’s 2026 Supervisory Priorities make AI governance an examination focus. Here is the full picture: the evidence, the compliance obligations, and how to move forward. A few months ago, I was sitting across the table from a credit union executive team during a lending transformation discussion. About halfway through the meeting, someone asked a question th

Why this post? Every month seems to bring a new “must-read” AI-governance framework, and many teams freeze—waiting until they’ve read them all. Over the past few weeks I: Completed two ISO 42001 courses (AIQI & BSI) Re-read the NIST AI Risk-Management Framework (AI RMF) Studied BABL AI’s 2023 governance report and, during an Algorithmic Bias Lab Q&A, asked Dr Shea Brown what he would do on Day 1 as Responsible-AI Officer for a company that provides high-risk AI systems in Eur

Imagine telling someone ten years ago that a conversation with a robot would need water. Lots of it! They would probably laugh. But, here we are. If you've opened social media recently, you've probably seen people arguing about the water crisis. Mumbai, with depleted reservoirs leaving residential areas without daily running water. Just a few hours away, Pune has cracked down on non-essential consumption by cutting off supply to public swimming pools and construction sites. A

At Straterix, we have built some of the most powerful tools for generating forward looking scenarios. These tools not only enable more efficient stress tests and risk-aware strategic planning, but also make it possible to ask meaningful “what if” questions and obtain highly insightful results within minutes. Given the widespread concern that current AI related valuations may be displaying bubble-like characteristics, we ran such a "what-if" query - and are sharing some of our

We're so used to hearing about OpenAI, Anthropic, and Google racing to build better AI models that we rarely stop to think about who actually controls them. The recent news coming out of the UK feels a little different. Instead of focusing on building the smartest AI, the country seems to be focused on building its own. British AI company Cosine has brought together some of the UK's biggest organisations, including BT, Lloyds Banking Group, NatWest, PwC, London Stock Exchange

Perplexity AI has emerged as a dark horse in the chatbot race- excelling not by pushing raw benchmark scores, but by optimizing for trust and reliability. A recent study by Legal Guardian Digital found Perplexity had the lowest hallucination rate (13%) of any major AI assistant and maintained 100% uptime during testing. By contrast, household names like ChatGPT had much higher error rates (~30%) and lower reliability. To put it simply, when it came to “getting everyday wor

Reimagining Everyday Processes with Intelligence We’re at a tipping point where intelligence is no longer the exclusive domain of humans. Large Language Models (LLMs) have exploded in size—from a few million parameters in 2012 to many billions today—and they’re being embedded across everyday business processes. The question: do we still need the same rigid protocols and escalation paths when machines can interpret context and respond dynamically? This shift is massive. Tradit

It seems like every bank and financial institution (FI) is racing to implement AI. From enhancing fraud detection to personalizing customer experiences, the promised benefits are huge. But as someone who helps banks and FIs make the best use of technology, I see a disturbing trend: firms are jumping into the deep end without knowing how to swim. A recent MIT report, "The GenAI Divide: State of AI in Business 2025," is an eye-opener. It found that a staggering 95% of enterpris

If you’ve been stressing about whether AI could replace your job, you’re definitely not the only one. Across finance, accounting, compliance, insurance, and fintech, people are all trying to figure out the same thing: is AI just here to make work easier, or is it slowly changing who gets hired, what work survives, and which roles may start fading first? If you’ve been wondering where this is all headed, you’re in the right place! And, this IS NOT just about CHATBOTS anymore

The Role of Indigenous Languages in Training African-Centric AI Models Introduction Artificial Intelligence (AI) is rapidly reshaping how societies interact with technology, from voice assistants and search engines to automated translation and smart healthcare systems. Yet, as Africa embraces this digital transformation, a critical gap persists: the absence of indigenous African languages in the core of AI systems. Most AI tools today are trained primarily on English, French,

The world is entering what many scholars and policymakers describe as the Fourth Industrial Revolution, an era in which artificial intelligence, advanced computing, robotics, and digital platforms will fundamentally reshape economies, societies, and geopolitics. Nations that build the infrastructure and capabilities for artificial intelligence will dominate the industries of the future. Those that fail to do so risk becoming passive consumers of technologies designed and cont

Why this post? Every month seems to bring a new “must-read” AI-governance framework, and many teams freeze—waiting until they’ve read them all. Over the past few weeks I: Completed two ISO 42001 courses (AIQI & BSI) Re-read the NIST AI Risk-Management Framework (AI RMF) Studied BABL AI’s 2023 governance report and, during an Algorithmic Bias Lab Q&A, asked Dr Shea Brown what he would do on Day 1 as Responsible-AI Officer for a company that provides high-risk AI systems in

Table of Content Executive Summary Problem Description and Justification 1.1 The Business Problem: Predicting Mortgage Prepayment Probability 1.2 Data Strategy 1.3 Limitations of Traditional Linear Models 1.4 Justification for Deep Learning Architecture Architectural Design using Dense Neural Networks 2.1 Conceptual Design: Multi-Layer Perceptron (MLP) 2.2 Activation Functions Optimization and Training Strategy 3.1 Gradient Descent and Back-Propagation 3.2 Fast Convergence: T

G lobal Capability Centers (GCCs) in India have powered banking for the last 2 decades by delivering cost efficiency at scale through its deep, high-quality talent pools that offered abundant, technically strong and English-proficient talent across IT and operations. In India alone, there are currently c1,800 GCCs supported by about 1.9 million professionals with a cost base of $64.6b according to Nasscom, with that number expected to touch 2,000 GCCs with 2.8m professionals

Jet lag returning from Malaysia this week means that my usual “it’s 6:30am on a Saturday morning” is more like “I fell asleep at 3pm”… but the outcome is the same. In toying with using AI for scenario planning over the last few weeks it struck me that the two-day scenario workshop we ran earlier in the year could now be emulated in a couple of hours. The TL;DR - Traditional scenario planning takes months of planning and costs upwards of $100,000 for a board level simulation.

AI, People, and the Path Forward The consulting industry, worth over $300 billion globally, stands at a critical inflection point. Two converging crises (one technological, one human) are simultaneously threatening the survival of traditional consulting models. While much attention has focused on AI's disruptive potential, a deeper, more insidious problem has been festering: consulting firms are systematically damaging their most valuable asset, their people. Part I: The AI T

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In the rapidly evolving digital era, artificial intelligence (AI) has emerged as a transformative force reshaping economies, societies,...