The digitization of industry has created vast data lakes of asset information.

Most organizations lack the tools to effectively parse these large asset datasets for actionable insights or use them to drive smarter decision making. As operators complete asset digitization efforts and move on to more advanced stages in the digital journey, having the tools and knowledge to effectively use these datasets will be critical to an organization's success.
 
Artificial intelligence (AI) and machine learning algorithms will help standardize the flow of data from disparate locations and streamline the process of industrial data analysis. This will enable operators to not only glean deep insights into asset performance, but also lay the groundwork for the automation of everyday decision-making. Manual tasks like work order scheduling will no longer require human intervention as AI algorithms leverage real-time analytics to optimize maintenance logistics and practices.