Data Analytics

The Future of Enterprise Data & AI

Author(s)

Corinium Intelligence

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Digital Transformation has engulfed the global skies, paving the way for a road to the future carved with AI. Post the pandemic, the evolving business dynamics have compelled organizations globally to innovate and embrace a digitally-driven ecosystem across business functions.

AI has transitioned from a vision to an undeniable reality, penetrating the very foundation of how businesses operate. The Corinium report uncovers the multi-faceted relationship between data, analytics, and AI, as seen through the lens of 100 C-suite leaders and senior decision-makers in Data, AI, and Innovation.

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