The rapid rise of AI and network automation is ushering in an era of data management and network inventory modernization for Communications Service Providers (CSPs), which was exemplified by our announcement with Lumen last week. Just as CSPs know they can’t automate what they can’t see, neither can they apply AI to it. Blue Planet’s new Cloud Native Platform (CNP) and AI Studio have been designed from the outset with this in mind.

See how Blue Planet is underpinning Lumen’s Network Inventory Transformation Program

As telcos evolve to become techcos, they are adopting strategies to consolidate all their data—associated with customers, networks, products, and more—in large but often distributed data lakes so that they can apply AI to reduce costs, improve customer experience, and develop innovative new services. This data-driven approach underscores the importance of having clean and accurate service and network inventory.

Operators’ legacy inventory systems, which are not easily extensible or cloud-native, must evolve to be ready for AI integration with end-to-end data accessibility and visibility across their entire Operations Support Systems (OSS) environment as a foundational principle. As CSPs transform their OSS architectures to become modular and open, they also need an open framework for managing their AI models and use cases, which come from a variety of sources.

Part of the AI ecosystem

As AI technologies and solutions rapidly evolve, the ecosystem of telco partners is also expanding to include new players such as data platform providers, hyperscale cloud platforms, companies that provide large language models (LLMs), and others. CSPs’ data science teams leverage these solutions to design, pilot, and deploy new AI models that support their key business objectives. As a cloud-native OSS vendor, Blue Planet plays a key role in this ecosystem model with an open platform and automation applications that help operators visualize and understand their data, act on analytical insights, and optimize their operational processes.

AI Studio gives operators a “Bring Your Own AI” capability that lets them execute and maintain AI models developed by their own data scientists or 3rd party LLMs

Blue Planet’s Cloud Native Platform integrates inventory, orchestration, and assurance applications that leverage a common data model to automate networks and services. Now, with Blue Planet’s AI Studio, CSPs can also implement and manage AI models and AIOps use cases across these applications.

Accelerate the shift to AI-driven operations

What is the AI Studio?

The AI Studio is an open and extensible software environment that acts as an intelligent workbench for implementing and managing AI models. As shown below (Figure 1), it can be integrated into any of Blue Planet’s automation applications and workflow pipelines, converging AI capabilities in a centralized and simplified way. Importantly, AI Studio gives operators a “Bring Your Own AI” capability that lets them execute and maintain AI models developed by their own data scientists or 3rd party LLMs , as well as manage a variety of pre-built AIOps use cases from Blue Planet. This approach ensures they’re not locked into any specific AI solution or LLM, which is a growing concern.

BP Portfolio w AI Studio graphic

Figure 1: Blue Planet’s approach to AI integration is open so that customers are not locked into using a single model.

From a functionality perspective, AI Studio is not a “black box.” It provides inspection, visibility, and control across all the different stages of instantiating and testing data pipelines and AI and machine learning (ML) models. This future-proofs Blue Planet’s products by allowing new AI capabilities to be plugged in as technology evolves and enables an open approach to AI models.

Bringing AI options to AIOps

Built-in use cases

AI and ML have been integral to Blue Planet’s OSS strategy for many years. Our focus has been on “pragmatic” AI – practical, real-world AIOps use cases to automate service assurance, for example. Drawing on this experience, we have embedded several pre-built, out-of-the-box AIOps use cases into AI Studio that enable important business outcomes for CSPs.

These use cases help to solve key problems such as complex issue identification and prevention, cross-layer network analysis, network behavior learning and adaptive resolution, traffic and resource forecasting, and business impact prioritization, to name a few. I explore these AI Studio use cases and others in greater detail in another blog.

Shaping the future of AIOps together

At Blue Planet, we believe it’s critical that CSPs not be locked into a single AI model as they shift to AI-driven operations. That’s why we’ve developed AI Studio to provide a holistic AI integration approach, inspection and visibility, and the openness to allow you to bring your own models and data science experts.

Get in touch to learn more about how Blue Planet’s Cloud Native Platform and AI Studio can help you automate networks and optimize your operations.