Manufacturers are constantly balancing a complex web of functions that span product innovation, engineering, planning, production and logistics. These highly interconnected processes span across the ...

The integration of data from many sources, especially new 'omic' platforms, is increasingly challenging not just because of increasing volume of data but because these data are highly diverse, ...

This article discusses the latest advancements in the data integration industry and how organisations can successfully integrate these technologies into their existing data strategy. In the age of big ...

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...

Some functions related to data have advanced with astonishing speed: generation, dissemination, storage, even security (and yes, that one still has many challenges). But there are others still mired ...

Data silos are the enemy of quality AI. Ensuring a consistent, accurate foundation for AI requires data be synchronized across mainframe, cloud and other platforms. Deep within nearly every enterprise ...

Data migration vs data integration: What’s the difference? Your email has been sent As much as data migration and data integration are understood as interchangeable, the two data strategies play very ...

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.

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...