From f771af4e69db4b8937f64fbf4024eb518a7cc230 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Mon, 1 Jun 2026 14:15:37 +0200
Subject: feat: added some notes

---
 content/background.tex | 7 +++++++
 1 file changed, 7 insertions(+)

(limited to 'content')

diff --git a/content/background.tex b/content/background.tex
index 55cfe16..85f3c57 100644
--- a/content/background.tex
+++ b/content/background.tex
@@ -1,4 +1,11 @@
 \chapter{Background}\label{s:background}
+
+\section{Datacenters}\label{ss:datacenters}
+Explain the high risk phenomena that occur in datacenters, which includes failures.
+\subsection{Failures}
+
+\section{Digital Twinning}\label{ss:digital-twinning}
+
 Predictive modelling uses statistics to predict outcomes.
 When deployed commercially, for example in datacenters, predictive modelling is often referred to as predictive analytics~\cite{Wikipedia:PredictiveModelling}.
 Almost any statistical model can be used for prediction purposes, but nowadays predictive analysis is synonymous with machine learning.
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