Despite the promising returns, 58% of respondents indicated challenges in making their data AI-ready, which remains a significant barrier to maximizing AI effectiveness.

Data barriers are a major hurdle, as 64% of respondents face difficulties integrating data from various sources, while 71% acknowledge that effective AI model training requires multi-terabyte datasets.

A recent global research report by Snowflake and Enterprise Strategy Group found that 92% of early adopters of AI are experiencing a positive return on investment, with a quantified ROI of $1.41 for every dollar spent.

Snowflake's executives emphasize the necessity of a unified data platform to help organizations effectively manage their data for AI applications, enhancing returns and scalability.

Snowflake operates on a customer-centric, consumption-based business model with a cloud-native architecture that includes scalable layers for compute, storage, and cloud services.

A substantial 80% of organizations are fine-tuning AI models with proprietary data, but they encounter challenges in making this data AI-ready due to issues like data silos and governance.

Snowflake Inc. is a leading data cloud and AI company that enables organizations to integrate and analyze large datasets, supporting over 11,000 companies globally in leveraging AI for data sharing and application development.

Many organizations struggle with selecting impactful AI use cases, with 71% reporting a surplus of potential use cases compared to available resources, and 54% finding it difficult to choose the right initiatives based on objective measures.

Organizations are prioritizing investments in data, large language models, supporting software, infrastructure, and talent to bolster their AI initiatives.

Baris Gultekin, Head of AI at Snowflake, highlighted that AI has reached a tipping point, delivering substantial value for enterprises by enhancing efficiency and democratizing data insights.

The findings from this research were published on April 15, 2025, showcasing the growing trend of AI adoption among businesses and the ongoing challenges they face.

In Canada, companies are still in the early stages of AI implementation, with 45% pursuing initial use cases, reflecting a broader trend of varying maturity levels in AI adoption across regions.