Ericsson
THE TELECOM ECOSYSTEMIS BUILT ON SNOWFLAKE
Simplify data architectures and build a connected future with the AI Data Cloud for Telecom
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Your Snowflake Team
An Easy, connectedand trusted platform
Easy
Build gen AI applications directly in SQL or via APIs. Query multimodal data, orchestrate data agents and explore insights.
connected
Easily connect, unify, and enrich your unstructured and structured data with live access to 750+ businesses and data providers, ensuring full interoperability via open standards.
Trusted
Govern and protect data with industry-leading security. Use AI and LLMs within Snowflake's security perimeter with built-in policies, access controls, and end-to-end observability.
Build a connectedfuture with ai
Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data.
Understanding the basics
SNOWFLAKECORTEX AI
Turn conversations, documents and images into intelligent insights with AI next to your data. Access industry-leading LLMs at scale directly in SQL or via APIs, analyze multimodal data and build agents — all within Snowflake’s secure perimeter.
Snowflake Intelligence†
Conversational AI for business. Ask questions across structured and unstructured data and get intelligent insights instantly, all within Snowflake. Easy to deploy, and enterprise-ready for business users.
Cortex Agents†
Orchestrate across both structured and unstructured data to retrieve and synthesize high-quality data insights.
Cortex AISQL†
Transform multimodal data into insights using familiar SQL syntax. Analyze text, images and audio alongside structured data, all within Snowflake's unified platform. Build AI-powered analytics pipelines without complex coding or data movement.
Cortex Analyst
Use AI to accurately convert natural language to SQL; Simple to use, cost-efficient to scale.
Cortex Search
Find information by asking questions within a given set of documents with fully managed text embedding, hybrid search (semantic + keyword) and retrieval.
Large language models (LLMs)
Access industry-leading large language models including Anthropic Claude, Meta Llama and Mistral Large 2 using serverless functions and APIs.
Understanding the basics
SNOWFLAKEdata engineering
Focus on data quality rather than infrastructure tuning. Now you can harness the full potential of your data from birth to insights with ZeroOps data engineering, limitless interoperability and enterprise-grade AI.
Enable reliable data movement
Build, deploy and optimize data pipelines faster
- Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows.
- Democratize data engineering with Snowflake’s end-to-end workflows, which include a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools.
Centralize data storage in open format
Build or seamlessly integrate your open lakehouse
- Take advantage of flexible open source standards to build your open lakehouse faster, while still getting the reliability and security of the AI Data Cloud.
- Seamlessly integrate with existing lakehouse architectures or build with an open lakehouse format from the ground up, breaking down data silos and getting to value faster
Innovate with AI
Unlock the potential of even the most advanced AI use cases
- Access and process an array of unstructured and semi-structured data with an open, flexible architecture.
- By simplifying the complexities of data engineering across the entire pipeline, Snowflake makes it surprisingly easy to build generative AI applications, enable AI agents with near real-time data flows and more.
Developer Experience
Manage delivery of your AI data foundation
- Focus more efficiently on your work with developer productivity tools like native development environments, Git integration and observability views and alerts.
- DevOps in Snowflake allows you to streamline and automate the software development lifecycle for all your Snowflake environments.
Key Benefits Of Migrating To Snowflake
Easily migrate SQL Server analytics silos to Snowflake to unleash modern analytics, advanced AI and what’s next on uniformly governed data across clouds — at instant scale
Easily modernize on a proven AI Data Cloud with instant scalability
Get more than just a database for structured data while leveraging your existing SQL skill set. Snowflake provides advanced AI and modern analytics with automated administration, instant elasticity and support for open, structured, semi-structured and unstructured data on many architectural patterns, including lakehouses.
Break down internal & external silos for seamless connectivity
Break down silos through Snowflake’s interoperability with open table formats and catalogs, and powerful cross-cloud collaboration with internal and external teams. Enjoy zero-copy data sharing and built-in Internal and Snowflake Marketplaces to find and access data, apps and AI products.
Unify security & governance
Consistently enforce security and governance controls across users, workloads, regions and clouds with Snowflake’s unified and trusted platform. Remove complex, manual configurations with automatic detection and tagging of sensitive data, continuous security monitoring and easy business continuity and disaster recovery.
SOLVE BUSINESS-CRITICAL USE CASESWITH THE AI DATA CLOUD FOR TELECOM
Improve Customer Experiences
Enhance your customer 360 views by connecting disparate data across touchpoints—regardless of source or format—and leveraging third-party assets from Snowflake Marketplace.
Finely tune customer segments and provide tailored, personalized experiences to maximize satisfaction and increase lifetime value.
Modernize Network Operations
Overcome data silos spread across complex legacy systems and evolve how you manage, monitor and maintain your network infrastructure.
Analyze network data to identify bottlenecks, congestion points and areas for improvement in network performance.
Create Agile Business Operations
Break down internal data silos and easily provide governed access to insights, increasing alignment across back-office resources.
Improve planning, make faster business decisions, rapidly respond to customer needs, better manage network resources and reduce time to market when launching new services.
