Databricks Data + AI Summit: Conversational Intelligence Drives Efficiency in Telecom

Databricks Genie helps telecom leaders move from dashboards to AI-powered business decision-making.

Bob is the managing editor of BizTech magazine.

Telecommunications providers have no shortage of data. The challenge has always been turning that information into actionable insights quickly enough to improve customer experiences, resolve network issues and drive business outcomes.

At the Databricks Data + AI Summit in San Francisco, executives from Databricks and the telecommunications industry standards group TM Forum outlined how conversational AI is helping telecom operators bridge that gap. The session highlighted how telecom organizations can use Databricks’ AI-powered business intelligence platform, Genie, to give business users direct access to governed data through natural-language queries, eliminating traditional bottlenecks between business teams and data analysts.

Leaders with TM Forum described how they use the tech to drive their ongoing work to modernize telecom operations through open standards, shared architectures and collaborative proof-of-concept projects.

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TM Forum and Databricks Collaborate on Open Telecom AI Frameworks

According to Guy Lupo, TM Forum’s executive vice president for trustworthy AI and Data, the organization’s Catalyst program brings together telecom providers, technology vendors and industry experts to develop and test new solutions that advance industry standards.

One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational systems. Databricks contributed a data operator designed to work within TM Forum’s Canvas platform, allowing AI agents to access and reason over telecom data using open standards.

Lupo described the effort as part of TM Forum’s growing emphasis on providing telecom operators with reusable code, reference architectures and practical implementations rather than theoretical frameworks. The goal is to create a foundation that operators can build upon as they move toward more autonomous and AI-driven operations, he said.

Databricks Genie Brings Conversational BI to Telecom Data

At the Data + AI Summit, Databricks has worked hard to highlight Genie, its two-year-old conversational business intelligence platform, characterizing it, in the words of Databricks Solutions Architect Layla Yang, as “the AI that knows your business,” capable of understanding not only the structure of enterprise data but also its business context through Databricks’ governance and semantic-layer capabilities.

Rather than requiring users to submit requests to analytics teams and wait days for reports, Genie enables business leaders to ask questions in plain English and receive immediate responses grounded in governed enterprise data.

The platform is designed around domain-specific AI assistants. A telecom provider might deploy separate Genies for customer care, network operations, billing and finance, each trained to understand the language, metrics and workflows associated with its respective business function.

Those specialized agents can then be coordinated by a higher-level supervisory agent capable of answering questions that span multiple departments.

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For example, Yang presented the case of a telecom CFO reviewing an AI-generated morning briefing summarizing company performance, including revenue growth, cash flow and operational metrics. Genie automatically identified an area of concern — declining margins in the wireline business — and provided a root-cause analysis that connected customer churn, legacy-service declines and fiber adoption trends.

The system then recommended potential actions without requiring additional analysis from a data team.

“This is a transitioning from staring at your dashboard to now you have a trusted thinking partner or a strategist to help you reason over your data,” Yang said.

Yang framed the technology as a shift away from static dashboards and toward AI-powered reasoning systems that can help business leaders understand not only what is happening but why it is happening and what they might do about it.

The platform can also generate follow-up questions, perform scenario modeling and explore future business outcomes based on operational and financial data.

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AI Agents Move Beyond Insights to Autonomous Network Operations

Databricks also demonstrated how similar AI-driven approaches could be applied to network operations.

In a live simulation, Scott Davenport, a Databricks senior solution architect, showed an AI agent monitoring streaming network telemetry data. When a simulated network degradation occurred, the system automatically detected the issue, classified the fault, assessed customer and financial impacts, retrieved relevant operational procedures and began recommending remediation steps.

“When one of these sites fails, it’s thousands of customers losing service, service-level agreement penalties, oftentimes more than one truck roll required to resolve the issue,” Davenport said. “Databricks is bridging that gap and closing the loop, serving as the data intelligence plane for an autonomous network Level 4.”

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