CI&T Survey Reveals Data Quality Blocks AI Progress in UK Insurance

What Happened

CI&T conducted a survey among insurance underwriters in the United Kingdom, revealing that more than half report poor data quality is holding back their efforts to implement AI-driven solutions. Insurers struggle with fragmented or inaccurate data sets, which limits the effectiveness of automation and advanced analytics. The findings highlight how major players in the insurance market cannot advance their digital strategies until core data management issues are addressed.

Why It Matters

The impact of poor data quality on AI transformation affects competitiveness, operational efficiency, and the customer experience throughout the insurance industry. If left unresolved, these issues could hinder innovation and delay the realization of AI\’s potential in core business processes. Read more in our AI News Hub