Future Ready Digest Vol. 2 No. 7 - 3rd February 2025
Microsoft Designer

Future Ready Digest Vol. 2 No. 7 - 3rd February 2025

The Early Bird Discount for our next AI Strategy & Management Executive Coaching Programme ends soon. Full details here:

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In this edition, the Doomsday Clock is ticking, Higher Education - the next digital dinosaur, OpenAI claims DeepSeek stole its data, an interesting MIT case study on how Colgate-Palmolive is using AI, good for business - but what about the people and societal impact of AI, the hidden costs of partial digital transformation, the AI arms race, improving public sector productivity, data science in an AI world, RAG explained, AI and Microsoft Fabric.


The Doomsday Clock is Ticking

89 seconds to go.


Cardiff University will cut 7% of the workforce, 400 jobs.

Some have been raising serious questions about higher education's ‘modus operandi’ for over a decade, including the late Clayton Christensen, who stated in 2013 that the sector was on the road to becoming the next Digital Dinosaur (see literature summary here What now for higher education?)

Cardiff’s decision reflects broader challenges in the sector, highlighting the urgent need for future-ready leaders of change.


OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us

Seriously? OpenAI is shocked that an AI company would train on someone else's data without permission or compensation.


The GenAI Focus Shifts to Innovation at Colgate-Palmolive

Via the MIT Sloan Management Review – an interesting case study on how Colgate-Palmolive has strategically deployed Gen AI in two main areas - innovation and marketing content creation. “These are areas with measurable business value bringing together traditional AI and generative AI in ways that weren’t previously possible.”


AI is eating the world – why the AI revolution is good for business

Via Brian Solis.

Yes, Brian, AI may indeed be “a transformative force shaping a new era in the history of technology, with businesses standing to benefit from the AI revolution due to wide-ranging applications and improved efficiency, an unprecedented opportunity across industries.” But what about the people and societal impact?


The global pursuit of sovereign AI is becoming the 21st century’s arms race?

An interesting article from the LSE Business Review discusses the geopolitical competition for AI sovereignty – a modern arms race. “With technology executives directly influencing government policies by collaborating with political leaders, the development and deployment of AI systems are now shaping the future of politics, diplomacy, and national security.”

Are we happy with that?


The Hidden Cost of Partial Digital Transformation"?

The false security of half measures – “Businesses implementing incomplete digital modernization often perform worse than those using fully legacy systems. Partial transformation creates complexity without efficiency, leading to operational friction and missed opportunities. A holistic approach to maximizing the benefits of digital transformation technologies is required.”


Improving government productivity: A systemwide approach

A McKinsey study outlining the potential of public service agencies to increase productivity. “If governments worldwide reached the productivity levels of their leading performers, the impact could generate an estimated $3.5 trillion annually. A comprehensive, systemwide approach is required to enhance government efficiency and outcomes.”


How AI Has Changed the World of Analytics and Data Science

From Forbes Technology Council – How AI has revolutionised analytics and data science by enabling faster decision-making and greater accuracy. The use of AI has now become integral to modern data management processes.


Two articles to enhance your understanding of the “tech” aspect……..

Retrieval Augmented Generation (RAG) Demystified: A Comprehensive Guide

I recommend taking the time to read this article.

RAG is becoming critical to your organisation's ability to leverage the full potential of emerging AI technologies. Simply, it bridges the gap between the extensive pre-trained knowledge contained in large language models (Gen AI) and the precise, up-to-date internal data critical to your business.

“In essence, RAG optimizes the output of a large language model by referencing an authoritative knowledge base outside of its training data sources before generating a response. This approach extends the capabilities of LLMs to specific domains or an organization’s internal knowledge base, all without the need to retrain the model.”

Driving Your AI Strategy with Microsoft Fabric and Azure Solutions

From PwC – the strategic benefits of leveraging Microsoft technologies, such as Fabric and Azure, to support AI-driven transformation.


As always, comments and feedback are very welcome.

Take care.

Jim H

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