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| author | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-15 14:24:06 +0200 |
|---|---|---|
| committer | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-15 14:24:06 +0200 |
| commit | e32c327364e99e842c1862b5665032721477e3d5 (patch) | |
| tree | 5cc18fd3b82b87f04f510201766572c99c621551 /main.tex | |
| parent | 584e84231f69d753eeabef13d99ae69e6f306731 (diff) | |
style: reversed the previous changes to a more simple layout
Diffstat (limited to 'main.tex')
| -rw-r--r-- | main.tex | 14 |
1 files changed, 6 insertions, 8 deletions
@@ -28,21 +28,19 @@ \end{frame} \begin{frame}\frametitle{Problem Statement II} - \begin{tcolorbox}[title=What are predictive analytics?] + \begin{tcolorbox}[title=What are predictive analytics? Why are they important?] Predictive analytics use statistics to predict events in advance. Almost any statistical model can be used for predictive analytics, but nowadays predictive analysis is mostly associated with Artificial Intelligence and Machine Learning (\emph{e.g.,} linear regression). + Reducing failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}. \end{tcolorbox} - \begin{tcolorbox}[title=Why are predictive analytics important?, colback=Brown!20, colbacktitle=Brown!80!black] - - Reducing failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}. - \end{tcolorbox} + \begin{center} - \includegraphics[width=0.7\linewidth]{images/predictive_analytics.pdf} + \includegraphics[width=0.85\linewidth]{images/predictive_analytics.pdf} \end{center} \tiny \textbf{Figure 1.2:} Where does our work fit within the field of datacenter digital twinning? - \myCircled{A} Digital $\rightarrow$ Physical Twin link, \myCircled{B} Physical Twin, \myCircled{C} Physical $\rightarrow$ Digital Twin link, \myCircled{D} Digital Twin, \myCircled{E} core Digital Twin features. - \textcolor{ForestGreen}{\faHighlighter~Highlighted areas are our novel contributions: the autonomous actions resulting from predictive insights \myCircledGreen{A} and the predictive analysis itself within \myCircledGreen{E}.} + There are 5 core elements to any Digital Twin: \myCircled{A} The Digital $\rightarrow$ Physical Twin link, \myCircled{B} the Physical Twin (\emph{e.g.,} the datacenter), \myCircled{C} the Physical $\rightarrow$ Digital Twin link, \myCircled{D} the Digital Twin, \myCircled{E} the features necessary to any Digital Twin. + \textcolor{ForestGreen}{\faHighlighter~Highlighted areas are the contributions from this thesis, which include the autonomous actions resulting from predictive insights \myCircledGreen{A} and the predictive analysis itself within \myCircledGreen{E}.} \end{frame} \begin{frame}\frametitle{Research Questions} |
