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@@ -30,12 +30,12 @@ \begin{frame}\frametitle{Problem Statement II} \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}. + Almost any statistical technique can be used for predictive analytics, but nowadays it 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{center} - \includegraphics[width=0.85\linewidth]{images/predictive_analytics.pdf} + \includegraphics[width=0.9\linewidth]{images/predictive_analytics.pdf} \end{center} \tiny \textbf{Figure 1.2:} Where does our work fit within the field of datacenter digital twinning? |