SERVICES
Marketing Teams Using AI: What to Prioritize Before Scaling Marketing teams can accumulate AI tools faster than they can build an operating model around them. One group may use a writing assistant, another may…
Read MoreAI in Marketing for Marketing Teams: Use Cases, Controls, and Adoption AI in marketing is no longer limited to content generation. Marketing teams are using AI to interpret customer signals, organize research, classify…
Read MoreUsing AI in Marketing: A Practical Guide for Marketing Teams Marketing teams are adopting AI across research, content operations, campaign planning, customer analysis, and reporting, but scattered experimentation can…
Read MoreEnterprise AI Platforms: Defining the Right Role for GenAI Tools Enterprise AI platforms can become confusing when GenAI is treated as a universal intelligence layer. Business leaders may expect one assistant to search…
Read MoreChoosing Where GenAI Tools Belong in an Enterprise AI Platform Adding GenAI to an enterprise AI platform creates an architectural decision before it creates a user feature. CIOs and technology leaders must decide…
Read MoreGenAI Tools in Enterprise AI Platforms: Where They Add Value Enterprise AI platforms are quickly accumulating GenAI tools, but more tools do not automatically create more business value. CIOs, CTOs, data leaders, and…
Read MorePlanning LLM Deployments Around Data Quality, Access, and Governance Planning LLM deployments around data quality, access, and governance is what separates a useful enterprise AI service from a model demonstration…
Read MoreData for LLM Deployment: What Models Need Before Production Data for LLM deployment must be production-ready before the application can be considered production-ready. Models need more than a pile of documents or…
Read MoreHow Data for AI Supports Reliable LLM Deployment Data for AI supports reliable LLM deployment by determining what the model can retrieve, what context it receives, which information it is allowed to expose, and how…
Read MoreEvaluating AI Search Use Cases by Data Readiness, Risk, and Business Fit Evaluating AI search use cases by data readiness, risk, and business fit prevents enterprise programs from selecting attractive demonstrations…
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