Today, the Uniphore team gathered together for an End of Summer Luau at our Palo Alto office. Great food, good conversation and time to connect with colleagues make for a meaningful celebration of the people who make Uniphore a great place to be.
Recursive self-improvement creates a compounding AI loop: every correction, exception & workflow makes the system smarter, more accurate, tailored & cheaper. Accumulated learning becomes a moat competitors can’t easily replicate. Read more:
CIOs deploying AI platforms face a production problem we see across enterprise deployments. In Partnership with MIT Technology Review Insights report, produced with our team at Uniphore with expert insights from leaders from KPMG, IDC, Databricks, we identify the real blocker
Campaign spend is easy to measure after launch. Proving what caused the outcome is more difficult. Our webinar with @IDC explores how Marketing AI uses simulation and digital twins to forecast customer-level outcomes before budget is committed.
CIOs face a scale problem with enterprise AI: individual customer intelligence can drive up model costs. Uniphore Marketing AI uses digital twins and purpose-built SLMs to predict campaign outcomes before budget gets committed.
