From 56ad0caa9f6d1e1248749d66ec21b64f51cff293 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Wed, 3 Jun 2026 14:48:59 +0200
Subject: feat: minor changes to few sections

---
 content/background.tex | 4 ++++
 1 file changed, 4 insertions(+)

(limited to 'content/background.tex')

diff --git a/content/background.tex b/content/background.tex
index fc1fce7..4218380 100644
--- a/content/background.tex
+++ b/content/background.tex
@@ -47,6 +47,10 @@ The digital twin is designed to provide extra datasets for training \gls{ai} mod
 
 DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} is an adaptive digital twin with visualization and anomaly detection features.
 
+% What is more, Microsoft already offers digital twinning as a service https://azure.microsoft.com/en-us/products/digital-twins/
+% Documentation: https://learn.microsoft.com/en-us/azure/digital-twins/
+% Moreover, NVIDIA is doing too as well https://www.nvidia.com/en-sg/omniverse/
+
 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.
-- 
cgit v1.2.3

