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UiPath enhances AI-driven enterprise operations with Databricks partnership

– UiPath improves AI-driven enterprise operations with Databricks partnership | IT-Branschen – UiPath improves AI-driven enterprise operations with Databricks partnership | IT-Branschen
UiPath improves AI-driven enterprise operations with Databricks partnership – Published by IT-Branschen

UiPath (NYSE: PATH), a leader in agentic business orchestration, today announced that it is a validated technology partner of Databricks , the data and AI company. This partnership introduces tailored integrations designed to bring together intelligence, automation and AI to power the next generation of intelligent business operations.

Integrations connect UiPath Platform™ with the Databricks platform, enabling companies to move from data insights to automated actions within business processes. By combining trusted data, AI-powered reasoning, and automation, organizations can improve decision-making speed, increase operational efficiency, and scale AI implementation across the enterprise.

Organizations often struggle to translate data insights into measurable business outcomes due to fragmented systems and disjointed workflows. UiPath addresses this challenge by embedding Databricks-powered intelligence directly into automated processes.r, which enables companies to act on real-time data across systems, teams and functions.

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Bringing together data, AI and automation

The integration introduces three core features:

  • Real-time access to trusted corporate data   UiPath agents and automations can securely access and query unified data from Databricks, including structured and unstructured sources such as databases, documents, and logs. This ensures that automated workflows are based on accurate and up-to-date information.
  • Orchestrate Databricks agents with UiPath Maestro ™ Acting as a unified control plane, UiPath Maestro™ seamlessly coordinates AI agents, robots, systems, documents, and people across complex, cross-functional workflows. This enables organizations to operationalize AI at scale and transform fragmented intelligence into autonomous, results-oriented execution.
  • Enterprise-class governance and transparency   UiPath delivers built-in governance, auditability, and control across automated workflows and into the Databricks platform. Organizations gain visibility into how data, AI agents, and automation interact, supporting compliance and responsible AI implementation from start to finish.

Together, these capabilities enable companies to operationalize AI at scale – and transform data-driven insights into consistent, automated execution across the entire business.

Drive measurable business results

”"Databricks offers proven infrastructure for data intelligence. We offer proven processor clustering,", says Vikram Kakumani, Deputy Chief Technical Officer at UiPath. ”Together, we deliver guided workflows where agents access enterprise data with context and control, using a combination of UiPath Maestro – orchestration of agents, bots and people – and Databricks business intelligence at the scale needed for measurable business outcomes.”

Availability

The aforementioned integration between UiPath and Databricks is available today, with further improvements to agentic orchestration and AI capabilities planned throughout the year.

About UiPath

UiPath (NYSE: PATH) is the leader in agent-based business orchestration and automation, trusted by more than 10,700 organizations worldwide to transform enterprise complexity into intelligent and secure operations where AI agents reason, robots act, and humans lead. Built for modern enterprises and the world's most regulated industries, UiPath integrates automation, orchestration, AI, and testing into guided, scalable workflows—unlocking innovation at the speed of business while delivering the controls and compliance that business leaders demand.

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    VORTIQ-X is an AI Governance platform that helps organizations govern, verify, and create measurable business value from AI. The platform focuses on transparency, compliance, AI governance, and the effective use of AI in mission-critical processes.
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