th the goal of achieving double-digit efficiency and cost reduction, Verizon chose watson.ai to generate AI-powered code for their networked infrastructure deployment. The solution the Verizon tech team created uses the capabilities IBM's Granite Large Language Model (LLMs) running on watsonx.ai and custom prompt templates. See firsthand how this combination of IBM technology and customizations are used to produce high-quality, Ansible/Python code output based on ingested instruction documents.  Hear about the qualitative benefits including now-predictable costs, approved and compliant models, integration with open-source tools, and model transparency and explainability. Learn how combining watsonx.ai and watsonx.data delivers quantitative results including a 50% operational improvement and a cost savings of $1.5M USD. At session wrap-up, you’ll have the opportunity to ask the Verizon team more about what they did, how they did it and why – and how their use case can apply to you.

Session Topic: AI Governance & Machine Learning
Industry: Computer Services
Speaker(s): Kapil Rajyaguru