For nearly 20 years we have used our contextual processing engines to identify, score, target and create contextual audience segments. We add parameters to set up a contextually balanced decision process that can easily be personalized for the individual managers and business domain experts so they can take the actions necessary to achieve the organization’s tactical and strategic goals. Initially used in non-PII campaign targeting and generative content marketing for each brand, these contextual feeds can be used in prompt engineering to streamline the use of LLMs to achieve more successful application deployments.

The AI Trainer™ managed service analyzes, identifies and adds new contextual attributes such as goals, scores, categories, segments and priorities to growth data, which, in turn, has been generated from the Company’s customer-centricity efforts. Specifically including language to improve your business performance, this contextualized feed is used to fuel a training process in GenAI and Operations AI models to reduce the time and cost of converting the LLM to your organization’s intended use.