Newton Research hires LiveRamp veteran Christine Grammier as first CCO

This appointment signals a transition for agentic AI from experimental technology to a practical enterprise tool for fragmented media measurement. By hiring a veteran from LiveRamp, Newton Research is prioritizing the integration of AI agents into existing data stacks rather than just offering standalone insights. For the broader streaming ecosystem, this move highlights the growing demand for automated tools that can handle multi-touch attribution across programmatic and social channels without requiring massive internal analytics teams. Watch for whether Newton Research can demonstrate that these AI agents can independently execute budget allocation decisions previously reserved for human analysts.

LiveRamp, where Christine Grammier spent her most recent tenure before joining Newton Research, has continued to expand its identity and data collaboration infrastructure across the advertising ecosystem. In early 2026, LiveRamp announced deeper integration of its RampID identity solution with major retail media networks and CTV platforms, reinforcing its position as a connective layer between fragmented data sources. That same connective-tissue philosophy underpins Newton Research's Unlimited Analytics platform, which aims to automate the multi-step reasoning that analysts currently perform manually across siloed measurement tools. Grammier's experience managing large-scale commercial partnerships at LiveRamp directly maps to the customer-facing challenge Newton Research faces: convincing brands and publishers to trust agentic AI with decisions that previously required human oversight.

The broader agentic AI measurement space is attracting significant investment and competitive activity. Nokia and Google Cloud unveiled six specialized AI agents for network operations at DTW Ignite 2026 in Copenhagen, claiming 50% to 80% reductions in problem-solving times, a benchmark that illustrates the efficiency gains agentic systems can deliver when deployed at scale. While that deployment targets telecom infrastructure rather than media measurement, the architectural pattern of specialized agents handling triage, reasoning, and action mirrors what Newton Research is building for marketing analytics. Meanwhile, Nokia separately announced partnerships with AWS and Databricks to build a unified data and control layer for autonomous operations, demonstrating how agentic AI platforms increasingly depend on consolidated data foundations rather than point integrations. For Newton Research, the implication is clear: Unlimited Analytics must prove it can unify messy measurement data in the way these infrastructure platforms are doing for network telemetry.

On the technical side, the agentic AI category is maturing rapidly across adjacent verticals, providing useful reference points for what Newton Research must achieve. Ericsson launched its AI in RAN commercial software subscription in June 2026, claiming up to 20% higher downlink throughput across more than 15 live deployments, showing that agentic systems can move from pilot to production when vendors tie them to measurable KPIs. Verizon's simultaneous public call for industry-wide interoperability standards for agentic systems signals that buyers are demanding transparency and portability from AI automation vendors. Newton Research will face similar scrutiny from marketing teams that need to verify how Unlimited Analytics agents reach their conclusions and whether outputs can be audited against existing attribution models. The hiring of Grammier, who managed complex enterprise relationships at LiveRamp, suggests Newton Research understands that commercial trust and explainability will determine adoption as much as technical capability.