Enterprise Connect Schedule

Despite its pervasive presence, GenAI's pricing principles remain largely opaque. As real-world implementations continue to surge, the ultimate measure of success will be determined by financial metrics, particularly the Return on Investment (ROI) of GenAI initiatives. In this session, Opus Research guides attendees through the intricacies of cost calculations associated with integrating Large Language Models (LLMs) into customer and employee workflows and deploying off-the-shelf AI-based applications. We'll examine the crucial roles for contact centers and CX organizations in offering tools and resources for creating and maintaining bots, agent assistants, and copilots, and we’ll help you understand how to judge the ROI case for these technologies.

Key Topics:

* Cost Drivers of AI: Uncover the primary costs associated with foundational LLMs and related resources.

* Pricing Strategies: Analyze how hyperscalers and cloud service providers are structuring their pricing models for GenAI products.

* Risk Mitigation: Explore measures to reduce financial risks associated with GenAI adoption

* Pricing Evolution: Assess the current state and future trajectory of GenAI pricing, including consumption-based pricing and subscription models