In this case study, we delve into the challenges faced by a global commercial real estate services firm in managing its data resources and decision-making processes. Lacking a geospatial context for their property assets, the firm struggled to make informed decisions...
By leveraging our approach to deploying machine learning (ML) workloads, we’ve boosted predictive analytics for a leading entertainment provider. This resulted in helping the company gain valuable insights into customer behavior and preferences, enabling them to make...
The Problem PingThings was a startup looking to build a real-time platform to leverage machine-learning for physical systems on the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. They wanted an analytics...
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