fidzu : php

The Enterprise Drupal Summit Europe 2026 will take place on 28 September 2026 in the SS Rotterdam.

We are now accepting session proposals.

Focus of the summit

The program focuses on Drupal in enterprise contexts, with emphasis on:

• Large-scale Drupal architectures
• Digital experience platforms built on Drupal
• AI use in enterprise content and delivery workflows
• Composable and API-driven architectures
• Governance, security, and compliance in regulated environments
• Operating Drupal at scale in complex organizations

The event is aimed at practitioners and decision-makers working on enterprise digital platforms.

What we are looking for

We are prioritizing submissions that are based on real implementations.

Relevant topics include:

• Case studies from enterprise or public sector deployments
• Architecture decisions in complex Drupal systems
• AI integration in content management or delivery
• Multi-site and multi-brand Drupal setups
• Sessions should be grounded in practical experience rather than product positioning.

Format

Accepted formats include:

• 20 minute talks (MAX)
• Case study presentations (focus on the business side)
• Architecture or strategy sessions

Selection criteria

Proposals will be evaluated on:

• Relevance to enterprise Drupal use cases
• Clarity of problem and solution
• Evidence of real-world implementation
• Transferable lessons for other enterprise organizations
• Technical or organizational depth

Submit a proposal

Submissions are open via Pretalx.

Looking forward to seeing you there!

Article by: Aidan Foster, Foster Interactive

The three human skills that turn AI into a multiplier.

Creativity, strategic thinking, and articulation are the three skills that decide whether AI makes you better or just faster.

• Strategic thinking comes from experience. There's no shortcut.
• Creativity can be learned, but it's more like going to the gym than reading a book. You build it through reps.
• Articulation lets you craft quality prompts and specs for AI, and it's the most trainable of the three. But it only matters when there's something worth articulating. The value lives in the other two.

What Everyone Is Getting Wrong

The AI discourse has one dominant message: automate faster, cut the grunt work, reduce headcount, ship more.

Most leaders are responding by getting better at execution. Better prompts. Faster workflows. More output per person.

Execution still matters. It's just not where the constraint is anymore. The leaders who pull ahead in the next three years won't be the ones who automated the most; they'll be the ones who understood where the real constraint moved.

The Bottleneck Moved

Think back to five years ago. A new landing page meant a brief, a copywriter, a designer, a developer, a round of revisions, and three weeks of calendar time. A campaign asset required coordinating four people across two time zones for something that might run for six days before you killed it.

That friction was real. Teams were sized around it. Agencies were built on it. Budgets accounted for it. That friction is gone.

A capable team can now produce a landing page in hours. Drafts, variants, and structured content at a pace that would have required six people two years ago. The execution ceiling collapsed.

The bottleneck didn't disappear. It moved upstream, to the quality of thinking that goes in before AI touches anything.

Strategic clarity. Creative direction. Precise articulation of what you actually want.

That's where the value lives now. That's where most teams are dangerously underprepared.

Strategic Thinking

A CMO walks into a strategy review and knows something is wrong. They've seen this pattern fail before, in a different market with a different product. They remember exactly how it ended.

That's not intuition in the mystical sense. It's pattern recognition built through immersion. You watch your confident calls go wrong, you figure out why, you adjust.

Strategic thinking requires experiencing consequences. You have to have been wrong, and had something depend on you being right.

Researchers studying scientists at the frontier of human knowledge found the same principle. The best of them use cultivated judgment to ask better questions, to know where to go next. AI needs to be pointed. It executes brilliantly within a defined frame. The frame has to come from somewhere.

Our sense for aesthetics, meaning and embodiment give us a vital advantage over our technological creations.

Why Human Intuition Is Still Science's Greatest Tool In The Age Of AI - Noema Magazine, 2026

Creativity

Most people believe creativity is an innate trait. Either you have it or you don't. That's wrong.

86% more ideas after 3 months of training. The untrained control group barely changed.

Creativity is a muscle. It responds to reps, to practice, to deliberate exposure to new inputs. A controlled study at Radboud University found that students who went through structured creativity training nearly doubled their ideation output in under a year. The untrained group stayed completely flat. (PLOS ONE, 2020)

You cannot read your way to it. You have to do the reps.

Research across Nobel laureates and major creative contributors identified two distinct types of creativity with two distinct peak ages. Conceptual innovators - the ones who execute one brilliant overarching idea - tend to peak young. Experimental innovators - the ones who synthesize across years of accumulated experience and observation - peak in their 50s. (Galenson and Weinberg, via Big Think)

The kind of creativity that matters most in marketing is the experimental kind. The kind that gets better the more you've seen.

The senior strategist who's been in the game 15 years isn't past their creative peak. The research says they may not have hit it yet.

Articulation

Articulation gets your thinking and creativity out of your head and into a form AI can use.

A VP with sharp strategic instincts and genuine creative range can still get generic output from AI if they can't extract what's in their head and structure it precisely.

Imprecise input produces generic output. Always.

The model doesn't know what your brand sounds like. It doesn't know who your buyers are, what language they use, or what keeps them up at night. It doesn't know what you've learned over three years about what actually converts.

All of that has to come from you, structured in a way AI can use. Articulation responds to deliberate practice faster than the other two. Most people never treat it as something worth developing. (Canadian Marketing Association AI Playbook, 2025)

Experience Is the Advantage If You Use It Correctly

The skills AI cannot replicate are the ones that take years to build. But knowing that doesn't help unless you act on it. Three things worth doing now:

Audit your process assumptions, not your expertise. The judgment you've built is the asset. The habits formed around the old production bottleneck are what need to change.

Treat articulation as a skill to develop deliberately. Document what you know about your buyers, your brand, your market. Structure it. That structured knowledge is what separates useful AI output from generic noise.

Do the creative reps. Consistent exposure to new inputs and new problems. New disciplines.

Give yourself and your team time to be creative. Whiteboard ideas as a group. Collect interesting work and express what specifically about it grabbed your attention.

Skip the reps and your creative edge fades.

Leaders who invest in all three first will pull ahead. The advantage compounds.

Where does your team sit?

Most teams I talk to are strong on execution. The upstream work - the strategic clarity, the creative direction, the structured articulation of what makes them different - is where the gap is.

That gap is also where the opportunity is.

Drop a comment. I'd like to hear how others are thinking through this.

Sources: Noema Magazine (2026), Radboud University / PLOS ONE (2020), Galenson and Weinberg / De Economist (via Big Think), Canadian Marketing Association AI Playbook (2025)