470 000 000 000
IDC Worldwide AI and Generative AI Spending Guide 2026 V2 prognozuje, że europejskie wydatki na AI osiągną blisko 470 mld dolarów do 2030 roku
IDC09/2026Europe
A set of practices ensuring repeatable deployment, versioning, monitoring, and maintenance of machine learning models. It integrates work on data, models, infrastructure, and production performance quality.
Why it matters
Brings engineering best practices to machine learning models: versioning, testing, monitoring. A deployed model behaves predictably, and its quality is measured, not assumed.
What's missing without it
Without operational practices, a model works until it doesn’t — data drift and performance degradation are discovered only after business damage occurs.
When it is used
When ML models are in production and require updates, monitoring, and repeatable deployments.
How we use it
Monitoring model version STT, transcription time, errors, and result quality after updates.
Numbers worth knowing
Artificial intelligence in data
470 000 000 000
Prognozowane całkowite wydatki na AI w Europie w 2030 roku według IDC Worldwide AI and Generative AI Spending Guide 2026 V2
IDC09/2026Europe
26%
Prognozowany udział w pełni elektrycznych pojazdów (BEV, bez hybryd) w europejskim parku samochodowym do 2035 roku, w porównaniu z 4% w 2025 r.
BCG2035Europe
Figures from the same field — collected in our market data base.