Data firm Snowflake used its recent Snowflake World Tour London event to urge business leaders to accelerate their artificial intelligence adoption, warning that inaction is currently the greatest risk an enterprise can take, according to a report by ITPro.
Moving From Pilots to Production
Speaking to thousands of attendees at the ExCeL venue, Jimmy Hall, Snowflake's vice president and country manager for the UK and Ireland, stated that many organizations across the region are advancing past initial experimentation and deploying AI into production at scale to drive operational value, as reported by ITPro.
Hall described this shift as the entry into the era of the agentic enterprise. However, he cautioned that moving quickly with artificial intelligence requires proper foundations, flexibility, and control rather than haphazard execution, according to ITPro.
The Centrality of Data Strategy
Addressing common misconceptions, Christian Kleinerman, Snowflake's executive vice president of product, warned against the assumption that advanced artificial intelligence can automatically organize unorganized corporate data. Kleinerman emphasized that exceptional organizational results with AI depend entirely on maintaining a strong underlying data strategy, as cited by ITPro.
To achieve success as an agentic enterprise, Kleinerman outlined four essential components: the selection of AI models, enterprise software and applications, internal data, and contextual information, all coordinated through an agentic control plane serving as a central connecting layer, according to ITPro.
Real-World Enterprise Implementation
During the event, giffgaff CEO Kate Dohaney shared insights from her company's implementation, noting that while the firm had previously optimized Snowflake across various teams, achieving desired commercial outcomes required establishing a dedicated data strategy team to help the broader business optimize information, as reported by ITPro.
Dohaney explained that automating repetitive market and competitor research helps free human resources from time-intensive tasks. Hall concluded the keynote by outlining three core priorities for modernizing enterprise technology: modernizing data infrastructure, preparing data for AI applications, and driving autonomous operational impact, according to ITPro.
AI-generated editorial illustration; not a documentary photograph.
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