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Artificial Intelligence Strategy Consulting: How It Played Out in One Crucial Room

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  The room was too quiet for a leadership meeting. No coffee. No laptops open. Just a printout of the last quarter’s customer attrition chart projected onto the wall—downward slope, pale red. A warning curve. The CTO leaned forward, arms crossed. “This is what happens when automation leads and strategy lags.” The Head of Customer Success didn’t disagree. She was still flipping the same two-page briefing back and forth. “We knew this wasn’t just about features. We knew months ago that our engagement metrics were misleading.” Silence again. Then came the real question, delivered by the COO: “So—what are we not seeing?” That’s when the strategy consultants spoke. Not loudly. Not dramatically. Just clearly. “You’ve optimised your intelligence systems to execute flawlessly,” said the lead advisor. “But no one’s asked what the system is supposed to understand.” He clicked to the next slide. The title read: “False Fluency: When Systems Speak Without Knowing.” He wasn’t there to c...
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AI Consulting Services: An Annotated Timeline of Growth and Innovation

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   AI consulting services have become indispensable for businesses navigating the complexities of artificial intelligence. These services offer expert guidance, technical implementation, strategic advice, and continuous support, making them vital for companies aiming to leverage AI efficiently and effectively.   2010s: The Emergence of Consulting Services in AI In the early 2010s, consulting services in the field of AI began to take shape as businesses sought guidance on integrating machine learning and automation. Companies like IBM, with Watson, laid the groundwork by offering specialised consulting to enterprises curious about AI’s potential. The focus was on data analysis and predictive modelling, with many organisations relying on external consultants due to limited in-house expertise. Consultants provided essential training, helped select appropriate AI tools, and crafted pilot projects to demonstrate AI’s value. Annotation: The 2010s were pivotal as bus...
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AI Strategy Development: Notes from the Strategist's Journal

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  My Journey Begins Embarking on the process of AI strategy development feels in equal parts thrilling and daunting, demanding both a vision for the future and a meticulous approach to execution. As I record this journey, I aim to capture not only the technical steps but also the insights and reflections that shape this transformative process.   Day 1: Laying the Groundwork Today begins the ambitious project of crafting an effective AI strategy to develop the framework for our organisation. The initial focus is clarity—defining what we hope to achieve with AI. Conversations with stakeholders reveal diverse aspirations: predictive analytics to enhance decision-making, automation to reduce repetitive tasks, and customer insights to refine marketing strategies. My first challenge is distilling these ideas into actionable goals. Success hinges on ensuring alignment between these aspirations and the broader organisational objectives. It’s clear that without a unified v...
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