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31/10/2026

Every technology decision has a business consequence. A new platform can create opportunity—but it can also introduce cost, complexity, risk and integration challenges.

That is why technology strategy needs more than a list of emerging trends.

CIOs need to evaluate:
Business value
Risk
Investment
Readiness
Timing
Long-term fit

Datafaktory's CIO Advisory helps organisations assess emerging technologies, build technology radars and prioritise investments based on value, risk and effort.

Which technology decision will have the biggest impact on your organisation over the next few years?

The most advanced AI solution is not necessarily the most useful one. A successful AI solution starts by understanding t...
31/10/2026

The most advanced AI solution is not necessarily the most useful one. A successful AI solution starts by understanding the people who will use it, the problem they face, and the outcome they need.

That is the thinking behind Design Thinking for AI.

Instead of asking:
“What technology can we build?” Start with:
“What does the user actually need?”

This approach can help organisations create AI solutions that are more relevant, usable and connected to real business needs.

Datafaktory's Design Thinking for AI combines human-centred AI strategy, innovation workshops and customer-centric AI solutions.

Would your next AI initiative start with the technology—or the people?

What if your plants and soil could provide real-time insights before problems become visible?A Plant & Soil Attribute Mo...
22/10/2026

What if your plants and soil could provide real-time insights before problems become visible?

A Plant & Soil Attribute Monitoring Station brings sensing and data together to monitor conditions that influence plant health and soil performance.

Instead of relying only on periodic observation, connected monitoring can help make environmental conditions more visible and support data-driven decision-making.

The bigger opportunity is not simply collecting readings.

It is turning those readings into intelligence that can help organisations understand conditions, identify changes, and make better decisions.

This is where connected sensing, data engineering and intelligent analytics come together because better decisions begin with better visibility.

Explore Datafaktory's technology solutions at datafaktory.com.

An enterprise AI copilot should do more than generate answers.Imagine an AI assistant that understands the data, process...
20/10/2026

An enterprise AI copilot should do more than generate answers.

Imagine an AI assistant that understands the data, processes, and operational context behind a business question.

That changes the conversation from:
“What does the data say?” to: “What should we do next?”

Operational AI can bring enterprise information and intelligence closer to the people making day-to-day decisions.

For organisations managing complex operations, the opportunity is to turn AI from a general assistant into a context-aware business capability.

Datafaktory works on AI and data solutions designed to bring intelligence into real operational environments.

What would you want your enterprise AI copilot to understand?

Explore more at datafaktory.com.

Not every AI decision can wait for data to travel back and forth to the cloud.In manufacturing and other real-time envir...
15/10/2026

Not every AI decision can wait for data to travel back and forth to the cloud.
In manufacturing and other real-time environments, edge computing brings analytics and AI closer to where data is generated.

That can help organisations achieve:
Lower latency for time-sensitive decisions
Better reliability where connectivity is limited
More efficient bandwidth usage
Greater continuity of operations

The cloud still plays an important role for scale and centralised processing.

The opportunity is knowing what should happen at the edge and what should happen in the cloud.

Datafaktory combines edge computing with industrial integration to support real-time AI and operational intelligence.

Where could faster decisions make the biggest difference in your operations?
Learn more at datafaktory.com.

13/10/2026

What if you could test a production change before making it on the real shop floor?

A digital twin creates a living digital model of an asset, production line or plant using real-time sensor and process data.

It can help organisations simulate scenarios, identify potential issues and optimise performance before implementing changes physically.

That can support better decisions around:
Production performance
Maintenance
Throughput
Process optimisation

Digital twins are moving manufacturing from reactive decisions to simulation-led decision-making.

The number of things AI can do is growing rapidly. But that does not mean every AI capability belongs in your business.T...
08/10/2026

The number of things AI can do is growing rapidly. But that does not mean every AI capability belongs in your business.

The better starting point is:
What problem should AI solve?

The answer should connect to a clear business priority—whether that means improving a process, reducing risk, supporting decisions, or creating a new capability.

A strong AI strategy starts with use-case prioritisation, business alignment and measurable outcomes.
Technology comes next.

At Datafaktory, strategy consulting helps organisations assess maturity, prioritise initiatives and build transformation roadmaps aligned with business value.

The question isn't whether AI can be used. It's where AI should create value.

Learn more at datafaktory.com.

The number of things AI can do is growing rapidly, but that does not mean every AI capability belongs in your business.T...
06/10/2026

The number of things AI can do is growing rapidly, but that does not mean every AI capability belongs in your business.

The better starting point is:
What problem should AI solve?

The answer should connect to a clear business priority, whether that means improving a process, reducing risk, supporting decisions, or creating a new capability.

A strong AI strategy starts with use-case prioritisation, business alignment, and measurable outcomes. Technology comes next.
At Datafaktory, strategy consulting helps organisations assess maturity, prioritise initiatives, and build transformation roadmaps aligned with business value.
The question isn't whether AI can be used. It's where AI should create value.

Data monetization does not always mean selling data.Organizations can create value by using data to:• Improve operationa...
24/09/2026

Data monetization does not always mean selling data.

Organizations can create value by using data to:
• Improve operational efficiency
• Support faster decisions
• Personalize customer experiences
• Build new digital products
• Strengthen partner collaboration

The right opportunity begins with a business priority—not with a technology platform.

Where is the biggest untapped data opportunity in your organization?

01/08/2026

Happy Swiss National Day.​
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