WNS Triange collaborated with Corinium Intelligence Services to survey 100 data, analytics, and AI leaders from industries including Manufacturing, Retail, Consumer Packaged Goods, Banking and Financial Services, Insurance and Healthcare to explore the gamut of AI adoption within different organizations.

The following key findings were made:

  • 47% of respondents say that security and privacy concerns top the list of challenges in hosting or implementing generative AI
  • 54% of respondents are implementing phased integration to bridge the gap between legacy systems and intelligence cloud and data systems
  • 76% are either planning or are currently involved in generative AI projects
  • 60% of respondents say that the integrity and quality of the data to be used in AI and analytics initiatives is the most crucial aspect
  • 57% of respondents have deployed data integration platforms or tools to address issues related to siloed and fragmented data
  • 72% of respondents are extremely concerned about the ethical implications of AI decision-making in their organizations

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