AI automation – The next step in automation

Today’s fully digitized society favors those who understand patterns and connections within vast amounts of data.

But is this easy? The answer is a resounding no.

Data varies greatly and is often context-dependent. For example, one person may describe a dog based on a Labrador’s traits, while another sees it through the characteristics of a Shiba Inu. Both describe a dog – but which description is correct?

Additionally, data can be:
❌ Incomplete (e.g., half-filled surveys)
❌ Inaccurate (e.g., typos)
❌ Manipulated (e.g., a declining crime rate caused by external factors rather than policy changes)

The challenges are many, but the potential is taken seriously – at both governmental and corporate levels.

Since OpenAI’s launch of ChatGPT in 2021, the term "AI" has gained mainstream recognition, leading to massive investments in data centers and software.

📊 According to Gartner (2024):
🔹 The Data Center Systems market grew 34.7% in 2024 and 15.5% in 2025
🔹 The Software sector increased 11.7% in 2024 and 14.0% in 2025

What new tools does this technology bring?

The hype is real, but AI must be implemented strategically. The return on investment is not just about financial balance sheets but also about staying ahead of competitors.

💡 Software performs best when input is streamlined – it is designed to complete specific tasks with minimal processing time.
🤖 AI surpasses traditional software when input is complex – particularly in tasks requiring context understanding.

Examples of AI-driven automation where traditional software falls short:

✅ Credit assessment: Machine learning detects precise risk patterns in loan applicants’ history.
✅ Invoice processing: AI extracts data from various invoice formats without manual coding.
✅ Intelligent logistics: AI predicts delivery issues and suggests solutions before problems arise.

What does this mean for your business?

1️⃣ Assess which processes can be automated with traditional software
2️⃣ Identify more complex tasks where AI-driven automation can provide a competitive advantage

How will your company use AI to create value?

Source: Gartner Forecasts Worldwide IT Spending to Grow 9.3% in 2025

N3O – Quality Beyond Code

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