AVA – Open Analytics framework
Our Open Analytics framework helps CSPs accelerate AI projects
AVA Open Analytics framework provides a common way of delivering new analytics capabilities, helping CSPs accelerate AI projects.
Covering all network related data domains, it is technology and vendor agnostic and enables a shift towards an advanced, decentralized data management model, which is guided by data catalogs, data governance, self-service and security.
AVA Open analytics framework offers:
- Streamlined MLOps
- Data Mesh, Cloud-native & AI/ML capabilities for the 5G era
- Zero trust security policies
AVA Open Analytics delivers real-time insights and ad-hoc reporting to enable intelligent and automated decision making. Nokia’s suite of analytics use cases can be consumed as-a-service, on-premises or through Any Cloud and CSPs can also create their own use cases.
AVA Open Analytics is the framework for disruptive innovation and new value creation.
What is Data Mesh?
Traditional Big Data systems entail moving raw data from multiple sources into a large, monolithic data lake or data warehouse.
Data Mesh fundamentally differs from this approach - instead of consolidating data into a monolith, it relies on data federation and data abstraction to virtually combine data, called data products, from dispersed sources for increased agility.
Why data mesh is better than data lakes?
AVA Open Analytics framework provides the underpinning technology that delivers AVA analytics use cases.
To meet the various requirements of CSPs analytics use cases, AVA Open Analytics is based on the following principles:
- Services driven framework
- Data Mesh
- Hybrid cloud architecture
- Agility to adapt to customized customer use cases
What is MLOps?
MLOps streamlines the process of taking machine learning models to production, and then maintaining and monitoring them.
Benefits of MLOps
- Efficiency: faster model development, deployment and life-cycle management
- Scalability: Manage thousands of models and monitor for CI/CD
- Reproducibility: Reproduce models and results for audit or diagnostics
- Risk reduction: Ensures greater compliance with industry/government policies
How does AVA Open Analytics deliver new analytics capabilities?
AVA Open Analytics offers CSPs a single state-of-the-art analytics framework to secure, automate and monetize data. It provides a unified approach to analytics, accelerating innovation and the creation of new value.
AVA Open Analytics is a modern analytics framework using cloud-native, AI/ML & a Data Mesh architecture for the 5G era. Able to work in multi-vendor and multi-technology networks, converged analytics covers all network related data domains from transport to the customer.
AVA Open Analytics unlocks the value of data through data processing, analytics, and machine learning (ML) and provides a unified way to create and implement new AI/ML pipelines into CSPs’ environments.
What are the key benefits and drivers of AVA Open Analytics framework?
AVA Open Analytics delivers real-time insights and ad-hoc reporting to enable intelligent and automated decision making as well as new business models for CSPs.
It is technology and vendor agnostic and also represents a shift towards an advanced, decentralized data management model, guided by data catalogs, data governance, self-service and security.
The platform offers a suite of proven analytics use cases on a CSP´s own cloud or a public cloud, consumed as-a- service (SaaS) and also enables a CSP to create its own use cases.
Benefits of the AVA Open Analytics framework:
Data Mesh/Data as a product
CSP´s own use case creation
Zero trust security
Hyper scaler readiness
How does AVA Open Analytics support the creation of AI use cases?
It is an open platform to build new use-cases and new data products
- AVA Open Analytics provides a framework to support Nokia AVA analytics use cases
- Customers can use AVA Open Analytics to create their own use cases
- Customers can co-create (build together) use cases with Nokia
Nokia’s suite of analytics use cases can be consumed as-a-service, on-premises or through Any Cloud and CSPs can also create their own use cases. The framework offers a suite of proven analytics use cases on a CSP´s own cloud or a public cloud, consumed as-a- service (SaaS) and also enables a CSP to create its own use cases.
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