Data integration and data ingestion are two IT disciplines that are often confused with one another. Here's how they differ and the challenges you may encounter. Image: Murrstock/Adobe Stock ...

Businesses can use AI-driven data integration tools, as an example, to sift through that necessary muck of historical data and make predictions on future trends and behaviors.

Data integration is increasingly critical to companies’ ability to win, serve and retain their customers. Enterprises face increasing data integration challenges, primarily due to the growing ...

Here are three steps toward data integration for good decision-making. 1. Create One Version Of The Truth You need to start by identifying what you want to use the data for.

RapidMiner offers automated data mining and modeling tools with AI and ML to provide clear visualizations and predictive analytics. The drag-and-drop interface makes it easier for analysts to create ...

Even as bioprocessors collect ever more data and analyze it with AI-based methods, the industry continues to face a crucial hurdle—data integration. “In most industrial biotech companies or ...

While data integration is seemingly a natural fit for cloud giants' computing platforms, the cloud lags in the data integration market, which is being hugely transformed by artificial intelligence.