Author: Robert

I’m taking Berkeley’s CS294 𝙇𝙇𝙈 𝘼𝙜𝙚𝙣𝙩𝙨 course, and I particularly enjoyed a recent lecture from Burak Gokturk where he explained several approaches that will help enterprises get significantly better results from foundation models. 🔧 𝗧𝘂𝗻𝗶𝗻𝗴/𝗗𝗶𝘀𝘁𝗶𝗹𝗹𝗮𝘁𝗶𝗼𝗻• Tuning is customizing a model based on specific data and/or use caseThis ranges from techniques as basic as prompt design …

Read more “🤔 How to make AI models smarter for you without making them bigger?”

Attending and speaking at recent events has sparked interesting conversations about what makes a successful data strategy.In this week’s post, I want to share my approach to building a meaningful Data Strategy. Before we dive in, there are 2 essential things to understand:1️⃣ A data strategy is not a “one size fits all” solution—it should …

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Two weeks ago at Risk.net Asia Risk Congress, I spoke about AI adoption in the financial industry, and particularly the complexity to move from AI experimentation to enterprise transformation. When ChatGPT launched nearly 2 years ago, the excitement was palpable. Even heavily regulated and conservative financial institutions jumped at the opportunity to explore AI, particularly …

Read more “Scaling AI in Financial Institutions: A journey from POCs to Enterprise Transformation”

At Asia Risk Congress yesterday, I shared my prediction that open-source AI will redefine the future of financial institutions in Asia. Going forward, institutions will shift towards open-source models they can fine-tune, manage, and scale internally—giving them a competitive edge in a rapidly evolving landscape. At its core, AI is built on three key pillars: …

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How companies went from fighting a 𝘄𝗮𝗿 𝗳𝗼𝗿 𝘁𝗮𝗹𝗲𝗻𝘁 to waging a 𝘄𝗮𝗿 𝗼𝗻 𝘁𝗮𝗹𝗲𝗻𝘁… Reading Ross Pettit’s excellent latest article, I was struck by how much it echoed my own recent thoughts about the shift in employment 𝘴𝘰𝘤𝘪𝘢𝘭 𝘤𝘰𝘯𝘵𝘳𝘢𝘤𝘵, and how misplaced metrics and incentives are creating a dangerous shift where future value is …

Read more “Is Short-Term Thinking Destrying Long-Term Value ?”

Microsoft’s energy consumption has 𝘥𝘰𝘶𝘣𝘭𝘦𝘥 over the past four years! 😲 This stark increase caught my attention while reviewing the 𝟮𝟬𝟮𝟰 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗿𝗲𝗽𝗼𝗿𝘁 they published in May.As someone deeply interested in the environmental impact of AI, I decided to dig in, and to use ChatGPT to assist with extraction and analysis (yes, I do see …

Read more “🔥Energy, AI, and Profitability: Microsoft’s Balancing Act”

📢 While tech headlines scream about Meta’s Llama 3.1, I’m here to tell you why hitting pause on your AI adoption might be your smartest move this year. As a Fractional CDO, I’ve seen too many companies fall victim to AI FOMO: resources wasted, poor ROI, strategies derailed, all thanks to half-baked implementations and overpromising …

Read more “Llama 3.1 isn’t the AI revolution you need – it’s a sign to stop chasing every AI trend and to become intentional about your strategy”

While most organizations spend a lot on Data, less than half actually get value from their investments (Gartner).As a Fractional CDO, here are my thoughts on what’s missing. 🎯 𝐑𝐞𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐖𝐇𝐘In the rush to become “data-driven,” many organizations jump straight into tools and technologies. I believe that the real game-changer for …

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My realization of how enormous the discrepancy between (potential) machine intelligence and human intelligence is, when viewed through the lens of the fundamental physics was one of the most fascinating insights I got from reading Nick Bostrom’s SuperIntelligence. 🔍 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄?Nick Bostrom highlights the stark differences between human brains and AI in terms of …

Read more “🚀💡Machine Intelligence: The Physics Behind Our Future Potential”