Gartner Report: Artificial Intelligence Demands That CIOs Foster a Data-Literate Society

Artificial intelligence uses algorithms to make sense of and act upon diverse, complex and fast-moving data — its entire reason for being. CIOs responsible for enabling AI initiatives need to foster a culture of data literacy to drive success with AI-based systems.


Key Challenges

  • Given the pervasive nature of artificial intelligence (AI), the consequences of it getting data "right" or "wrong" are potentially profound. Without taking the data fully into account, AI can unintentionally reinforce harmful biases, increase polarization and result in other harmful consequences.
  • AI researchers, vendor marketing executives and others tend to consider AI algorithms and functionality more important than data in AI-powered applications and platforms. In fact the two are inextricably linked — data is the core of powering and training AI algorithms, and high-quality signal data is key to successful AI.
  • A shared language is needed to unite an increasingly diverse array of IT and business professionals involved in AI. This builds the case for data literacy as a new core competency for both creators and consumers of AI.

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