Open Analytics with ML/AI

Open Analytics with ML/AI combines the power of open source analytics tools and machine learning/artificial intelligence (ML/AI) techniques to enable data-driven decision-making and insights. ML/AI techniques further enhance the capabilities by employing algorithms for predictive modeling, regression, classification, clustering, and more. This integration allows for the exploration of large datasets, identification of patterns, and generation of accurate predictions. The open nature of this approach fosters collaboration, innovation, and transparency within the analytics community, enabling the sharing of code, data, and methodologies.

Our AI Analytics service leverages powerful ML algorithms to effectively learn numerous patterns of normal behavior and establish correlations between anomalies. These correlations can involve millions of time series, a task that would be impossible for an analyst to perform manually. To achieve this, we utilize an Open Analytics platform that incorporates data mesh and Delta house architecture, enabling the unification of data in a single location. This unified infrastructure ensures that data remains in place and readily accessible for analysis and insights.

By utilizing open analytics with ML/AI, organizations and individuals can gain insights from their data, develop predictive models, optimize processes, and make data-driven decisions in a cost-effective and scalable manner.