Unlocking Machine Learning’s Hidden Challenge: Integration

A recent study by SAP and the Economist Intelligence Unit (EIU) found that 48 percent of businesses using machine learning have experienced increased profitability as the top benefit. Many companies investing in machine learning technology are at the very beginning of the process — just starting their first project or proof of concept. At this stage of implementation, it usually hasn't emerged yet that data integration is a major challenge to overcome. Businesses will quickly uncover that there's a lot of effort required to align data management and security concepts across machine learning communication channels. If an organization has more than one channel that it wants to orchestrate and needs to communicate on different channels, there's a complexity to that, which needs to be solved. When developing a machine learning platform, mature lifecycle management and version management can often be challenging. Part of the complexity that comes with machine learning is not just adding more software into the enterprise, but aligning different developments with data science and lifecycle management.

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This article is related to

machine learning,data + integration