AI Adoption in 2025: What's Working and What's Not
Mar 20, 2025
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Brett Roscoe, Senior VP at Informatica and a leader in data strategies, dives into the dynamic world of AI adoption in 2025. He reveals how organizations are successfully harnessing generative AI to boost efficiency and enhance customer experiences. Roscoe discusses the various stages of AI adoption, highlighting both triumphs and technical challenges. The conversation emphasizes the necessity of fostering a culture of innovation and flexibility to keep pace with rapidly evolving AI technologies, while managing data more effectively for a competitive edge.
A significant 87% of organizations are increasing generative AI investments, driving operational efficiency and enhanced customer experiences.
Despite the advancements in AI, 97% of companies struggle to demonstrate business value, highlighting the need for effective data governance.
Deep dives
Rising Investment in Generative AI
A significant majority of organizations are increasing their investments in generative AI, with around 87% of surveyed Chief Data Officers (CDOs) expressing their commitment to enhance funds for this technology in 2025. Alongside AI investments, 86% are also focusing on improving data management practices to support their generative AI initiatives. The ultimate goals include enhancing operational efficiency and creating better experiences for both customers and employees through AI-driven interactions. Notably, companies like CN Rail have demonstrated success by expediting data classification processes, significantly reducing project timelines from months to just two weeks.
Competitive Advantage through Early Adoption
Organizations that adopt generative AI early are gaining a competitive edge, with early adopters reportedly experiencing substantial cost reductions and revenue growth. A McKinsey survey highlighted that these companies saw a 35% decrease in costs and a 58% increase in growth due to their generative AI projects. Furthermore, a notable percentage of this group attributed a significant portion of their earnings before interest, taxes, depreciation, and amortization (EBITDA) directly to these initiatives. This reality emphasizes the critical nature of staying ahead in the AI landscape to avoid falling behind competitors.
Obstacles to Generative AI Adoption
A major hurdle faced by organizations in adopting generative AI is the struggle to demonstrate tangible business value, with 97% of respondents reporting this challenge. Additionally, 92% encounter technical issues that impede the progression from proof of concept to full production. Concerns about ethical AI use, such as bias and compliance with regulations, also contribute to these delays. Companies are increasingly realizing that addressing these obstacles is essential to harness the full potential of AI effectively.
Simplifying Data Accessibility for AI Projects
Organizations are encouraged to create a culture of data literacy and share data across departments to maximize the effectiveness of generative AI. This involves understanding available data and delivering it securely while maintaining proper governance and compliance. The proposed strategy consists of four steps: inventorying data assets, establishing control mechanisms, facilitating delivery through an intuitive marketplace, and observing data usage and quality. By methodically addressing these aspects, companies can effectively harness their data in AI applications, streamline processes, and support scalable AI initiatives.
Discover the exciting outcomes organizations are achieving with GenAI investments in 2025 and the surprising obstacles they're still facing!
I'm joined by Brett Roscoe, Senior VP at Informatica, to discuss key findings from their CDO Insights 2025 report, exploring what's actually working in GenAI investment, practical strategies for turning data challenges into advantages, and how to drive competitive edge through AI adoption in this rapidly evolving landscape.
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