As data processes become more complex, many organizations struggle to get their artificial intelligence (AI) and data analytics projects to work for them. Collecting, organizing, implementing, and streamlining vast amounts of data is a lot of work that involves many different teams with varying capabilities and needs. In the infographic below, see why so many organizations are experiencing AI and data project failure and whether they think the investment is still worth it.

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