In the Internet of Things, there are generally three classes of analytics performed: real-time analytics done of the fly alerting you to anomalies; predictive analytics performed as a post process yielding a prediction and confidence level and descriptive analytics that reports on past, present or future data with visualizations that often result in the biggest insights. In this episode of the IoT Business Show, I discuss the differences in these types of analyses with Shepherd Shi, as well as the steps that are taken before and after.

Read the rest of the show analysis notes at: https://www.iot-inc.com/three-main-classes-internet-of-things-data-analytics-podcast/

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Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification