Databricks Announces Data Intelligence Platform for Communications

Databricks Announces Data Intelligence Platform for Communications

The News: Databricks announced a new data and AI platform focused specifically for the communications industry. The new Data Intelligence Platform for Communications provides pre-built solutions to help communication service providers leverage AI quickly and effectively for industry-specific use cases. More information can be found in Databricks’ press release here.

Databricks Announces Data Intelligence Platform for Communications

Analyst Take: Databricks recently announced a new Data Intelligence Platform for Communications offering that aims to provide data and AI solutions built on top of the Databricks data lakehouse targeted specifically for telecommunications and network service providers. The new platform is the latest in a series of industry-specific offerings from Databricks, with previous solutions geared toward retail, finance, healthcare, and media and entertainment.

These types of industry-aligned solutions are greatly beneficial as organizations, across all types of industry verticals, are challenged with leveraging their data and embracing new AI applications. Each industry, however, brings about its own unique challenges that can slow adoption. By creating industry-specific platforms with pre-built solutions, Databricks can enable its customers to achieve their data and AI goals quickly, while addressing industry-specific requirements.

The new Data Intelligence Platform for Communications is aimed specifically at helping communications service providers (CSPs). Databricks claims it can help them “benefit from a unified foundation for their data and AI, and can gain a holistic view of their networks, operations, and customer interactions without sacrificing data privacy or confidential IP.” Included with the platform are accelerators, including prebuilt code, sample data, and walkthroughs, for the following capabilities:

  • Large Language Models for Customer Support
  • Telco Network Analytics
  • Geospatial Analytics to detect identity fraud
  • Customer Entity Resolution

By implementing these functionalities, communications organizations can implement new capabilities such as large language model (LLM)-based customer service chatbots, churn prediction models, or identification of anomalous and fraudulent behavior. These capabilities can ultimately lead to improved customer experiences and optimized business practices; however, many organizations may struggle with the skills or data infrastructure to implement them. With the Data Intelligence Platform for Communications, however, Databricks has simplified the process by providing pre-built solutions on top of its data lakehouse architecture to help organizations get up and running with data analytics and AI applications quickly.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Seagate Announces Mozaic 3+ Drive Platform

Hammerspace Adds Tape Support for Global Data Environment

Weka Achieves NVIDIA DGX BasePod Certification

Author Information

Mitch comes to The Futurum Group through the acquisition of the Evaluator Group and is focused on the fast-paced and rapidly evolving areas of cloud computing and data storage. Mitch joined Evaluator Group in 2019 as a Research Associate covering numerous storage technologies and emerging IT trends.

With a passion for all things tech, Mitch brings deep technical knowledge and insight to The Futurum Group’s research by highlighting the latest in data center and information management solutions. Mitch’s coverage has spanned topics including primary and secondary storage, private and public clouds, networking fabrics, and more. With ever changing data technologies and rapidly emerging trends in today’s digital world, Mitch provides valuable insights into the IT landscape for enterprises, IT professionals, and technology enthusiasts alike.

SHARE:

Latest Insights:

Brad Shimmin, VP and Practice Lead at The Futurum Group, examines why investors behind NVIDIA and Meta are backing Hammerspace to remove AI data bottlenecks and improve performance at scale.
Looking Beyond the Dashboard: Tableau Bets Big on AI Grounded in Semantic Data to Define Its Next Chapter
Futurum analysts Brad Shimmin and Keith Kirkpatrick cover the latest developments from Tableau Conference, focused on the new AI and data-management enhancements to the visualization platform.
Colleen Kapase, VP at Google Cloud, joins Tiffani Bova to share insights on enhancing partner opportunities and harnessing AI for growth.
Ericsson Introduces Wireless-First Branch Architecture for Agile, Secure Connectivity to Support AI-Driven Enterprise Innovation
The Futurum Group’s Ron Westfall shares his insights on why Ericsson’s new wireless-first architecture and the E400 fulfill key emerging enterprise trends, such as 5G Advanced, IoT proliferation, and increased reliance on wireless-first implementations.

Book a Demo

Thank you, we received your request, a member of our team will be in contact with you.