Latest News
How LangExtract Uses URLs and Text Lists for Data Extraction with LLMs Snowflake adds AI that surpasses RAG, querying and aggregating thousands of docs Google applies AI principles to boost nature protection and restoration Arxiv tightens moderation as AI‑generated CS review papers swell SAP launches RPT-1, a ready‑to‑use AI that learns via context engineering Zendesk rolls out GPT‑5 and HyperArc for dependable, real‑time AI agents Tech firms say they’ll back anti‑cheating tools but ignore AI‑agent misuse Zoho Notebook adds AI tools, shared workspaces, whiteboards, and app integration How LangExtract Uses URLs and Text Lists for Data Extraction with LLMs Snowflake adds AI that surpasses RAG, querying and aggregating thousands of docs Google applies AI principles to boost nature protection and restoration Arxiv tightens moderation as AI‑generated CS review papers swell SAP launches RPT-1, a ready‑to‑use AI that learns via context engineering Zendesk rolls out GPT‑5 and HyperArc for dependable, real‑time AI agents Tech firms say they’ll back anti‑cheating tools but ignore AI‑agent misuse Zoho Notebook adds AI tools, shared workspaces, whiteboards, and app integration
Content generation system is offline for maintenance. Manual curation in progress.
Business & Startups

Celonis, Databricks Partner to Add Live Process Intelligence to Enterprise AI

By
• 2 min read

Celonis and Databricks have announced a partnership aimed at weaving real‑time process insight into the fabric of enterprise AI. The two firms say the deal will let companies tap a “live” view of how work actually flows, rather than relying on static reports. While Celonis is known for mapping and optimizing business processes, Databricks supplies the data platform that many large organizations trust for security and governance.

Together, they hope to give AI models the context they need to act on operational realities, not just historical snapshots. The collaboration is positioned as a way to bridge the gap between raw data and actionable intelligence, a challenge that has lingered in many data‑heavy enterprises. As the joint effort rolls out, executives from both sides are emphasizing how their respective strengths will mesh.

“Databricks brings its secure, governed data infrastructure and industry‑leading agentic development tools, and we bring our unique Process Intelligence that provides the operational context AI needs to succeed,” one executive said. Sarah Branfman, global VP at Databricks, added her perspective on the partnership…

"Databricks brings its secure, governed data infrastructure and industry-leading agentic development tools, and we bring our unique Process Intelligence that provides the operational context AI needs to succeed," he said. Meanwhile, Sarah Branfman, global VP at Databricks, spoke about how the partnership helps enterprises build AI that "truly understands their business", allowing them to turn process insights into "real, intelligent action." Reflecting on the impact, Hobson Bullman, VP of operations at Arm, noted that combining Celonis and Databricks helps orchestrate people, agents, and systems "to make our business more effective and efficient". The integration is powered by Databricks Delta Sharing and Celonis Data Core, creating a unified foundation for continuously improving AI-driven operations.

Related Topics: #Celonis #Databricks #AI #process intelligence #Delta Sharing #Data Core #enterprise AI #real‑time insight #governed data

Will the joint effort actually tighten the feedback loop between data and process? Celonis and Databricks have linked their platforms through Delta Sharing, allowing live data to move securely between the Process Intelligence and Data Intelligence environments without duplication. The bi‑directional flow is meant to cut down silos and ease synchronization, a claim the partners emphasize in their statements.

“Databricks brings its secure, governed data infrastructure and industry‑leading agentic development tools, and we bring our unique Process Intelligence that provides the operational context AI needs to succeed,” one executive noted. Sarah Branfman, global VP at Databricks, echoed that sentiment, highlighting the collaborative angle. Yet, the practical impact on enterprise AI remains uncertain; organizations will need to integrate the two stacks into existing workflows, and it is unclear how quickly that will happen.

The architecture appears sound, but whether the promised efficiency gains materialize across varied use cases is still to be proven.

Further Reading

Related Articles

Common Questions Answered

What is the primary goal of the Celonis and Databricks partnership for enterprise AI?

The partnership aims to embed real‑time process insight into enterprise AI, giving companies a live view of how work actually flows instead of relying on static reports. This live context helps AI models make more informed, context‑aware decisions.

How does Delta Sharing enable the integration of Celonis Process Intelligence with Databricks’ data platform?

Delta Sharing provides a secure, bi‑directional data exchange that moves live data between Celonis’ Process Intelligence and Databricks’ Data Intelligence environments without duplication. This seamless flow reduces data silos and ensures that both platforms stay synchronized in real time.

What specific capabilities does Databricks contribute to the joint solution?

Databricks brings its secure, governed data infrastructure along with industry‑leading agentic development tools. These capabilities ensure that data is managed safely, complies with governance standards, and can be leveraged efficiently for AI model training and deployment.

According to Sarah Branfman, how does the partnership help enterprises build AI that truly understands their business?

Sarah Branfman says the collaboration lets enterprises turn process insights into real, intelligent action, enabling AI to grasp the operational context of business workflows. This deeper understanding allows AI systems to make decisions that are aligned with actual business processes.