Databricks at MWC 2026

2026-02-26 · Source: Databricks · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Telecommunications Industry · Depth: Intermediate, medium

Summary

Databricks will attend MWC 2026 from March 2-5 in Barcelona, Spain, to showcase how unified data and AI drive growth in the telecom sector. The company will highlight solutions for churn reduction, fraud prevention, and intelligent field operations, aiming to help operators increase ARPU, decrease costs, and improve customer experiences through data-driven decisions. The telecom industry faces challenges like revenue pressure, high costs, and limited personalization, stemming from fragmented and untrusted data. Databricks advocates for a data strategy as a core business strategy, enabling telecoms to evolve into AI-enabled enterprises with intelligent, data-first networks that anticipate events rather than merely reacting to them.

Key takeaway

For telecom leaders grappling with revenue pressures and operational inefficiencies, integrating a robust data and AI strategy is no longer optional. You should prioritize building a unified, governed data foundation to enable real-time decision-making, proactive fraud prevention, and personalized customer experiences. Invest in training your teams to effectively use AI tools and embed AI into daily workflows to foster an AI-enabled enterprise culture.

Key insights

Unified data and AI are critical for telecom operators to overcome revenue pressures and operational inefficiencies.

Principles

• Data strategy is business strategy.
• Data readiness is a core operational capability.
• Culture must keep pace with evolving AI technology.

Method

Operators can unify prospect and customer data on a single platform, apply AI models to analyze behavior and network performance, and deliver insights to customer-facing channels for real-time decisioning.

In practice

• Improve attach rates and ARPU with Next-Best-Offer decisioning.
• Reduce churn by analyzing conversational data with AI.
• Prevent fraud proactively using real-time anomaly detection.

Topics

• Unified Data and AI
• Telecom AI Applications
• Customer Churn Reduction
• Proactive Fraud Prevention
• Next-Best-Offer Systems

Best for: Director of AI/ML, VP of Engineering/Data, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.