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Splunk Moves into IoT Analytics with Industrial Asset Intelligence Solution

Splunk Moves into IoT Analytics with Industrial Asset Intelligence Solution

This IDC Perspective examines Splunk's entry into the IoT analytics market with an industrial asset intelligence (IAI) solution that combines condition-based monitoring with machine learning capabilities for predictive analytics, intelligent thresholding, and use of NLP for data integration. Over time, we expect additional IoT solutions from Splunk as it works with customers to support a broader set of IoT analytics use cases. "While Splunk enters the IoT analytics market with a differentiated no-code approach, it will be competing in a market with other customer-entrenched vendors as well as newer vendors with more mature solutions, requiring continuing aggressive R&D investments," according to Maureen Fleming, program vice president, IoT Analytics and Information Management at IDC.


Executive Snapshot
Situation Overview
IAI Focused on Three Key Themes
Theme 1: Condition-Based Monitoring
Theme 2: Machine Learning
Theme 3: Edge Analytics
Competition
Alignment with IDC's Decision-Centric Computing Framework
Advice for the Technology Buyer
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