The Ataccama Data Trust Report 2025: Winning AI Strategies for Data Visionaries highlights the criticality of data to successful enterprise-wide AI adoption:
- 77% cite increasing operational efficiency as the main strategic and spending priority for 2025
- 67% admit AI solutions are still not widely integrated across their organization
- Over half of enterprise data leaders say improving data quality and accuracy is their organization’s top data management priority next year
Data leaders continue to face ongoing challenges with the rapid evolution of technology as 74% of organizations report they have implemented some AI-based solutions, yet only 33% have embedded them company-wide. In the first of its forthcoming Ataccama Data Trust Report series, Ataccama, an AI-powered data management company, explores this conflict between expected benefits of new technologies and the hurdles to integration.
Improving data quality and accuracy for AI
Data leaders are also optimistic about AI’s impact for transforming product and services innovation (42%) and marketing and sales (39%), which indicates why exploring AI is a data management priority for data strategy primary decision makers (54%). Trustworthy AI relies on clean, quality data, so it’s unsurprising that heads of data cite improving data quality and accuracy (51%) to be an immediate priority, and also report that managing large volumes of data (30%) is among the top challenges CDOs face in their organizations today.
Mike McKee, Chief Executive Officer, Ataccama, said, “Do not ignore the critical role your data plays in delivering on the promise of AI. Businesses that don’t leverage AI with data they can trust will fail. The winners have already established data trust to support AI-powered initiatives for improving customer experience, product innovation, and sales and marketing performance.”
Insurers anticipate competitive and efficiency gains from AI
While data quality is a top data management priority for 51% of respondents, it is significantly higher for insurance companies at 68%. Insurers view improved operational efficiency (68%) as a key driver for AI adoption, also reporting that increased efficiency and productivity (74%) and increased competitive advantage (51%) are some of the top anticipated benefits of AI usage. Although data leaders in insurance have a high level of executive support for their programs, a number do report a degree of resistance from COOs, Chief Digital Officers, and Chief Analytics Officers (15% each).
Legacy systems throttle AI initiatives in healthcare organizations
Healthcare organizations are particularly likely to face AI-related challenges. While nearly half (45%) rank AI implementation as a hurdle, 50% of healthcare respondents struggle to keep up with rapid technological advances overall with integrating legacy systems (63%) a particular obstacle in this sector. Despite these challenges, their outlook remains positive with 58% viewing AI as a pivotal tool for predictive analytics, enhancing data analysis and decision-making processes.
The primary drivers for AI adoption in healthcare are considered to be improved operational efficiency (52%) and enhanced decision-making (42%), while for a quarter (26%) of respondents, reducing human error is a key motivation. The primary anticipated benefit of adoption is innovation (45%).
