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IoT Slam Session: What do I do with my Data Now? Integrating and AI/ML Approach.
IoT generates a significant amount of data that can drastically impact business operations. Collecting and analyzing the data to inform business decisions changes dramatically with the big data originating from IoT. We will discuss key factors at the initiation of an AI project which will impact success and avoid overspend. We evaluate considerations of data preparation, selection and integration that should not be neglected when initiating an ML approach. We do this by breaking down the value to an organization derived from internal and external data sources. Finally, we illustrate lessons learned via practical use cases and discuss best practices for building technical requirements based on data characteristics, business drivers and functional limitations within an organization.