The use of data in ethical and socially responsible ways is increasingly in the spotlight as analytics, automation and artificial intelligence solutions proliferate. Companies must grapple with complex technology ecosystems, variable and ever shifting data quality and the need for highly sophisticated design, development, testing and deployment of solutions as the playing field continues to rapidly evolve.

Responsible Artificial Intelligence (Responsible AI or RAI) is a term commonly discussed in the media, but strides are still being made to articulate and embed practices and governance.

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