🧠 TL;DR#
AI is already within everyone’s reach, but accessibility ≠ impact.
Real value appears when we combine technology, data, people, and business, moving slowly, managing expectations, and using AI as a co-pilot, not a replacement.
🚀 Technology at the center… but not alone#
At events like Future Oil & Gas – Digital Innovation Energy in Aberdeen, it’s clear the conversation is no longer “what is AI”, but how to use it well in complex industrial environments.
Some key takeaways 👇
🤝 Agentic Systems: autonomy with humans in the loop#
- Autonomous systems for drilling, monitoring and logistics
- Integration with Digital Twins + real-time data (SCADA, WITSML)
- 🧠 AI as a co-pilot, not full autopilot
- ⚠️ In critical operations, human experience remains irreplaceable
👉 Today, AI is like a great intern: it reads everything, helps a lot, but needs supervision.
🔐 Cybersecurity and privacy in AI ecosystems#
- It’s not just about protecting models
- 🔁 You must protect data pipelines, training processes and automations
- Clearly differentiate:
- 🌐 Public LLMs
- 🔒 Private RAGs (no data leakage)
- Regulatory compliance
👉 A well-designed RAG reduces hallucinations and improves trust.
📚 RAG + LLMs: the bottleneck is not the model#
- Co-pilots for:
- Manuals
- Contracts
- HAZOPs
- Technical logs
- Use of vector databases in the cloud
- 🧩 The real challenge: curate, structure and index knowledge
👉 Without good knowledge, there is no good AI.
🧑🏫 Scaling AI: people, people, people#
- Continuous training in:
- Python
- ML
- LLMs
- KNIME
- Create AI Champions in every team
- Key role: the “AI Translator”
- Knows the business
- Understands the models
- Translates questions into impact
👉 AI doesn’t contradict experts:
organizes, validates and turns intuition into facts.
🎯 Managing expectations: the hardest lesson#
- Don’t start with “moonshots”
- Start with:
- Cases with good data
- A clear business owner
- Measurable ROI
- Go slow to gain credibility
- Decide early:
- Research?
- Or business?
You don’t need to be an early adopter to create value. Sometimes being second but solid is the best strategy.
📘 In a few words#
- Industrial AI uses sensor data, documents and human expertise to predict, recommend and alert.
- A Digital Twin is a digital copy of a real asset that helps operate better, safer and with lower emissions.
- The key is not AI itself, but how we integrate it into real processes and real people.
🌱 Digital transformation is not a technical problem.
It’s a human, cultural and strategic problem.
