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Strategic AI

Aligning AI tools with business or policy objectives, governing their use responsibly, and focusing on AI where it can provide significant leverage (such as automating routine tasks or generating insights from big data). Strategic AI is thus an approach that maximizes AI’s strengths (speed, data analysis, pattern recognition) in service of human-defined missions.

Human Creativity

Drawing deeply on emotion, cultural context, and lived experience. In short, human creativity is the driving force behind art, innovation, and complex problem-solving throughout history, providing the vision and purpose behind new creations.

Resilient growth

Unlike fragile growth that might collapse under shocks, resilient growth is durable and inclusive. In practice, this means building systems that can absorb or quickly adapt to crises – whether economic downturns, technological disruptions, or global pandemics – and continue progressing.

A Perfect Union

When we talk about combining AI and human creativity, it’s not a competition but a complementary relationship. AI (especially modern AI like generative models) can act as a powerful tool or partner that augments human creative work, rather than replacing it. AI can generate ideas or draft content at high speed, serving as a creative “sparring partner” for humans. Meanwhile, humans provide guidance, critical judgment, and original inspiration to ensure the results are meaningful and aligned with our values. 

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Synergy of AI and Human Creativity Across Domains

7 June 2025
When artificial intelligence is used strategically alongside human creativity, their combined strengths can produce remarkable outcomes.

AI brings speed, scale, and data-driven insights; human creativity brings intuition, empathy, and the spark of original ideas.

This synergy can lead to more innovative solutions and help systems adapt in real time, contributing to resilient growth in numerous fields.

Is neuroplasticity and AI a most perfect union?

30 May 2025
The idea that AI is already using its own version of neuroplasticity to improve is already well documented and has been termed ‘techno-plasticity’.

However, it's limitations in this aspect of AI learning and development are also being stated more and more frequently as the reason Artificial General Intelligence (AGI) is still further off than we might imagine, given all the hype around the topic.

AI-Powered Features in Drupal CMS

1 May 2025
Drupal’s latest evolution, often referred to as Drupal CMS 1.0, brings advanced Artificial Intelligence (AI) capabilities to the forefront of content management.

Built on Drupal core, this new packaged distribution is optimized for content creators and marketers, offering many pre-configured features out-of-the-box – including AI-powered tools for content creation, SEO, and automation.

Going back to AI roots - A visit to Bletchley Park ...

3 April 2025
For someone about to relaunch their career on the back of the growth in AI, visiting Bletchley Park seemed like a right of passage.

I’ve wanted to visit this amazing place for years and the stars aligned to create an opportunity that is very timely.

Last Friday I completed a six month journey to learn about many different aspects of AI via an excellent CPD accredited course at Portsmouth University.

AIUK - Thoughts and learning

20 March 2025
Attending AIUK was a last minute decision but one that I certainly don't regret and I have a sense it will pay dividends somewhere down the line.

I used to attend and present at a lot of conferences and exhibitions before my hearing got really bad and hearing aids no longer compensated for the loss.

So, this is the first big work related event I have attended since getting the Cochlear Implant back at the beginning of 2020.

Where are we along the AI hype cycle?

9 January 2025
Many organisations struggle to translate pilots into value. Only about 26% of companies have scaled AI beyond proofs-of-concept and generated tangible value.

Common barriers include data quality, integration with legacy systems, and the need for talent and training. Indeed, surveys report that nearly all execs plan to keep ramping up AI investment (92% in one McKinsey report), but only around 1% feel “AI-mature” today.