Connecting the Dots for the Data Scientist with Information Fusion
Presented by: Brian Clark, Corporate VP of Product
As the deployment of advanced sensor networks continues to grow in sectors within the federal government and the Industrial IoT, many organizations are recognizing the increased value in information fusion, which describes the process of providing contextual insight on fast, streaming data and big, static data. Data scientists struggle to transform data into a form where they can apply various advanced analytic methods. The challenge of transforming fast, streaming data into an analyzable form requires new approaches.
Information fusion platforms packaged to support Spark, Hadoop, Kafka and other open source technologies for Big and Fast Data can help solve this problem, by enabling enhanced relationship analytics using an object-oriented approach. Organizations that want to leverage the latest technologies to derive richer value from their Big Data assets, especially in the context of sensor data, can look to the case studies that will be revealed in this presentation for game-changing insights.