With corporate spending on artificial intelligence (AI) expected to increase by 70% since 2017, according to Gartner, many of today's companies are developing their strategy for AI and the data it ...

Data that’s captured isn’t always stored, and storage alone doesn’t get the job done. Many transportation agencies are sitting on troves of data they’re not sure how to interpret. Even when vendors ...

With structured data, data fields are aligned side-by-side in fixed record lengths, with specific data fields appearing at static locations within each record. Unstructured data does not contain a set ...

If you run a quick web search on "machine learning use cases," you will find pages and pages of links to documents describing machine learning (ML) algorithms to detect or predict some kind of event ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and ...

AI algorithms can analyze transactions in real time, detect anomalies and patterns that may indicate fraudulent activities, and alert banks to take appropriate actions. An example of fraud detection ...