“Bring it to our shop”: Workday’s pitch for keeping AI agents close to your most valuable data
Workday, the payroll and HR data platform, has been pursuing AI and agents for a while, but while other businesses The post “Bring it to our shop”: Workday’s pitch for keeping AI agents close to your most valuable data appeared first on The New Stack .
The proliferation of AI agents and enterprise's increasing reliance on proprietary data necessitates strategies for secure and efficient integration.
This development highlights the critical importance of data proximity and security for AI agent deployments, shaping how large enterprises will adopt and leverage AI.
Enterprises are increasingly prioritizing on-premise or tightly controlled data environments for AI agents over solely cloud-based solutions, due to data sensitivity.
- · Workday
- · Enterprise software providers with strong data security
- · On-premise infrastructure solutions
- · Generic cloud-only AI service providers
- · Companies with weak data governance
- · Centralized public AI model providers
Companies will invest more in private AI infrastructure to keep agents close to sensitive data.
This could lead to a 'federated' model of AI, where agents operate locally on enterprise data, rather than being fully centralized.
New standards for data interoperability and agent security within private enterprise environments will emerge.
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