Best of LinkedIn: MarTech Insights CW 26/ 27

We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways. We at Frenus supports enterprise marketing teams in unlocking the full potential of their customer data with the help of AI. You can find more info here: https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it The provided sources examine the 2026 marketing technology landscape, focusing on the transition from traditional software stacks to agentic AI operating models. Experts argue that strategic architecture and data governance are now more important than individual tool selection, as fragmented and poor-quality data foundations allow AI to scale errors more rapidly.This edition include the emergence of warehouse-native platforms such as Databricks CustomerLake and the evolution of Marketing Operations into a central control plane for autonomous agents. The sources also highlight the rise of infinity campaigns and the standardisation of PII tokenisation to balance hyper-personalisation with increasingly strict privacy requirements. Future competitive advantage will depend on integrated messaging architectures, governed data environments and human-centric design. Simply adding more AI tools will not deliver sustainable value without a coherent operating model connecting data, technology, workflows and customer experience. This podcast was created via Google NotebookLM.