Mario Thomas

Maximising AI Value Through Strategic Frameworks

This month's newsletter explores crucial frameworks for extracting maximum value from AI investments. As organisations move beyond initial experimentation, success increasingly depends on strategic approaches to data monetisation, talent management, value measurement, and technology selection.

From turning enterprise data into strategic assets to building AI-capable teams, measuring AI's multidimensional value, and selecting the right LLMs, these articles provide practical guidance for boards and executives navigating the complex AI landscape.

If your time is limited, I particularly recommend "Measuring AI value" for its comprehensive framework that helps boards evaluate AI initiatives beyond traditional ROI calculations, and "The enterprise data advantage" for its practical approach to identifying and monetising often-overlooked information assets.

How is your organisation approaching the measurement of AI value, and which dimensions are proving most significant for your strategic decision-making? I welcome your thoughts on these evolving areas.

-Mario

The enterprise data advantage: Turning information assets into strategic value

Published 27 January 2025 | 15 minute read

Drawing from personal experience digitising 271 years of newspaper archives, I explore how today's enterprises can identify and unlock value from often overlooked information assets. This comprehensive guide examines five data asset categories, multiple value creation pathways, and the essential capabilities needed to transform data into sustainable competitive advantage.

The future of AI expertise: Building and managing AI-capable teams

Published 21 January 2025 | 7 minute read

With demand for AI talent far exceeding supply, organisations must rethink their approach to building AI capabilities. This article explains why AI teams require different treatment from traditional IT functions, why your AI Centre of Excellence must report directly to the Board, and what unique skills are needed in the AI era.

Measuring AI value: A strategic framework for Boards and business leaders

Published 13 January 2025 | 12 minute read

Drawing from my experience developing the Cloud Value Framework at AWS, I introduce the Well-Advised Framework for measuring AI's impact across five key areas: Innovation, Customer Value, Operational Excellence, Responsible Transformation, and Financial Performance. This comprehensive approach helps boards evaluate AI initiatives beyond traditional ROI metrics.

Selecting your enterprise LLM: Moving beyond the hype to make the right choice

Published 3 January 2025 | 10 minute read

With over 146 Large Language Models available, selecting the right one requires looking beyond headlines to match capabilities with specific business needs. This guide examines four critical dimensions for LLM selection: strategic value, risk management, organisational readiness, and operational sustainability, with practical advice for making informed choices.

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