Drupal

Gartner Hype Cycle

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.
stressed business team

How AI can enthuse workers not threaten them

9 January 2025
With the right strategies, AI can enthuse and motivate workers, serving as a tool that empowers people rather than a threat to their livelihood. This article explores how organisations can foster a positive AI culture - reducing mundane drudgery, enhancing productivity and collaboration, and positioning AI as a catalyst for human potential. We’ll also look at practical tips on nurturing an AI-positive mindset through upskilling, communication, and leadership practices that reassure and inspire employees.
James Hoskins

James Hoskins - Experienced practioner

Perfect Union Founder and Lead Consultant
Originally trained in traditional marketing approaches in the 1980s, James was amongst the first wave of marketers to start using the world wide web as a communications and promotions channel. In those pioneering days, a lot of mistakes were made and many lessons learned to create some fundamental guiding principles that are just as valid in online channels today.
AI EU risks

What the EU AI Act means for risk assessment

Drupal CMS
Discover how a leading sports association transformed its digital presence with a feature-rich Drupal platform. From real-time updates and seamless integrations to personalized experiences for fans and members, this scalable solution enhanced engagement, streamlined operations, and delivered measurable results.
measuring results

Measuring AI outputs and impact

Drupal CMS
Measuring AI’s impact is not just about accuracy—it’s about business value, efficiency, and long-term adaptability. Organizations must track AI success through well-defined KPIs, rigorous performance evaluations, and resilience frameworks to ensure AI continues to drive growth over time.
Drupal