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
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
88%
Meta podaje, że ponad 88% z 137 000 usuniętych reklam oszukańczych w Polsce zostało wykrytych automatycznie przed zgłoszeniem.
Meta09/2026Poland
2 500 000 000 000 USD
Prognozowane światowe wydatki na AI w 2026 roku.
Gartner2026global
Figures from the same field — collected in our market data base.