Considerations before GenAI implementation

As with any technology change, workforce training, governance, security, observability, and scalability are critical components that must be addressed. And of course, GenAI’s results are only as good as the data you are feeding it.

Data readiness underpins not only generative AI, but more broadly, the ability for telecoms and other enterprises to tackle AI and even automation. It is why we see such a broad range of implementations. Telco data is complex, and the underlying systems are often a combination of different architectures, technologies and so on, making data challenging to ingest.

Before CSPs start the generative AI impact discussion, they need to ensure they have a clear strategy for their data, a robust approach to governance, a well-defined architecture and, if needed, a plan for migration and consolidation. Prioritizing and creating a viable data ingestion pyramid becomes one of the most important infrastructure considerations for a foundational long-term strategy.

Creating a telco native GenAI platform

GenAI holds the power to introduce transformative change in the communications industry – from simplifying the operations of networks to streamlining interactions with customers, and more.

At Amdocs, we are investing heavily in ensuring that CSPs can rapidly and safely adopt GenAI in every aspect of their business. We understand the importance of striking the right balance between innovation, responsibility and being cost efficient.

To ensure CSPs can leverage this transformative technology, we created a GenAI platform, amAIz, which brings new GenAI-powered applications to customers faster, enabling them to benefit from the immense potential of GenAI, while also providing enterprise-grade security, reliability, and performance.

By leveraging the best of the industry’s evolving foundational large language models (LLMs) and overlaying a robust vertical taxonomy and pre-configured telco-specific ‘use case kits,’ CSPs simply need to choose what generative AI capability they would like, and the underlying technology integration, training and governance is handled.

With any major technology shift, ecosystems and partners are important as the technology landscape both accelerates and fragments. amAIz is built in strong collaboration with industry leaders. In partnership with Microsoft, we have built Customer Engagement Platform , which includes multiple copilot products, including sales, order enrichment, care, proposals and more, providing an interconnected experience beginning to end. We are also collaborating with NVIDIA on optimizing large language models (LLMs) to improve latency, accuracy and cost effectiveness of generative AI applications and services. These partnerships are essential as we transform the industry.