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Dataiku, an AI platform company, has launched AI Agents with Dataiku, offering capabilities to create and control AI agents at scale. This new development aims to deliver a novel class of AI applications powered by analytics, predictive models, and agents. The company emphasizes that these agents can be grounded in trusted data, embedded in operational workflows, connected to all AI inputs, and governed with the same rigor as any business-critical asset, ensuring enterprise-level control and reliability. Dataiku highlights that over 20% of their customers are already leveraging Dataiku to integrate GenAI into their business and data workflows, showcasing the platform's growing adoption.
Dataiku's approach seeks to address the challenges of uncontrolled agent proliferation within organizations, which can lead to inconsistent quality, lack of IT oversight, and ungoverned deployments across various teams. To counter this, Dataiku provides options for central agent creation, including a visual, no-code environment for business users and a full-code environment for developers. This dual approach ensures accessibility for users with varying technical skills while maintaining key capabilities to ensure the creation, connection, and control of AI agents at scale with confidence. The goal is to ensure that companies can move from exploration to operationalization of agents with centralized creation, optimized performance, and orchestration through existing IT assets.
According to Florian Douetteau, co-founder and CEO of Dataiku, the time has come for companies to take control of AI's raw power. He believes that companies are on the cusp of repurposing existing enterprise applications built on systems like Snowflake, Workday, and SAP, by adding a new layer of AI-native applications. Dataiku's Universal AI Platform aims to meet the emerging market need by centralizing agent creation for governance, continuously optimizing performance, and fully orchestrating agents through existing IT assets. The company is focused on building the required capabilities within its platform to facilitate this transition.
ImgSrc: insideainews.co
References :
- The Dataiku Blog: Create and Control AI Agents at Scale With Dataiku
- insideAI News: Dataiku Brings AI Agent Creation to AI Platform
- SiliconANGLE: Dataiku introduces AI Agents to unify and govern enterprise agent deployments
- www.microsoft.com: Three AI service agents for Dynamics 365 Customer Service and Contact Center are now available in public preview: Case Management, Customer Intent, and Customer Knowledge Management agents.
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