Algolytics
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Tworzymy i dostarczamy rozwiązania z zakresu zaawansowanej analityki biznesowej na polskim rynku. Firma rozwija autorskie oprogramowanie do analiz predykcyjnych, zarządzania relacjami z klientem, zarządzania ryzykiem oraz Data Mining.
Putting an ML model into production requires a system where all parts work together end to end.
The problem appears when each part is built separately.
What works better is one coherent flow, where:
◾ models are generated efficiently and prepared for use in production
◾ data can be consumed from multiple sources such as databases, APIs, and brokers
◾ models and business rules are executed together as one production scenario
◾ deployment and orchestration are handled in the same layer
◾ streaming data can be processed and features updated continuously on top of incoming data
Instead of connecting all of this manually, the whole process runs within one architecture.
Fewer components. Less integration overhead.
If you want to see how it works in practice:
👉 watch the full talk: https://eu1.hubs.ly/H0vH-JX0
28/04/2026
Today we’re hosting a practical webinar on running machine learning in production (April 28, 11:00–12:00 CEST).
The session focuses on what happens after models are trained:
deploying ML to production, connecting models with data and decision logic,
running batch and real‑time decisioning, and scaling these workflows without building a complex and costly MLOps stack.
We’ll show a concrete end‑to‑end setup:
from model training, through deployment of production pipelines,
to batch scoring and real‑time decisioning in a single, coherent architecture.
Register here: https://eu1.hubs.ly/H0tTk5r0
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Kategoria
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Strona Internetowa
Adres
Ulica Przeskok 2
Warsaw
00-032
Godziny Otwarcia
| Poniedziałek | 09:00 - 17:00 |
| Wtorek | 09:00 - 17:00 |
| Środa | 09:00 - 17:00 |
| Czwartek | 09:00 - 17:00 |
| Piątek | 09:00 - 17:00 |
