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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.

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.

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.

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.

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.

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.