The Complete Feed

AI is making it possible to replace clunky dashboards, spreadsheets, and repetitive workflows with purpose-built internal applications. Lucas Longacre shares how he’s building hyper-focused tools at Inlightened—and why the next frontier of enterprise AI may be empowering teams to build software around the way they actually work.

Digital commerce is changing fast as AI reshapes how people discover and buy products. In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Bryan House, CEO of Elastic Path, to discuss AI-powered product discovery, agentic commerce and the future of ecommerce. They explore B2B opportunities, composable commerce, payments, retail media and why AI could dramatically reduce the time and cost of implementing commerce platforms.

For years, the AI race has focused on building the smartest model. But the next competitive advantage may be the data and context that make every business unique. In this episode of Signal & Noise, Rio Longacre and Brett House sit down with Snowflake’s Eddie Drake to explore AI governance, the Marketing Context Layer, and protecting proprietary intelligence. They also discuss Data Clouds, AI agents, token economics, and what the future of enterprise AI could look like.

As AI reshapes personalization and customer engagement, consent can no longer live in a static compliance system. This article explores why permission is becoming the critical layer that determines whether customer data can be used responsibly—and how brands can build trusted, AI-ready customer intelligence.

Advertising has never had more data, but less certainty. In this episode of Signal & Noise, Joanna Drews, Co-Founder & CEO of HyphaMetrics, joins Brett House and Rio Longacre to explore why traditional attribution is breaking down, what MMM still misses, and how AI, panels, and cross platform measurement are reshaping the future of advertising. Better decisions in the AI era start with better measurement.

For decades, CRM served as the enterprise system of record. But in the age of AI, real-time customer intelligence, and cloud-native platforms, that role is shifting to the data cloud. This article explores why organizations are rethinking customer data architecture, how platforms like Snowflake and Databricks are becoming the new center of gravity, and why real-time data and identity remain essential to delivering exceptional customer experiences.

Every AI breakthrough starts with something less glamorous than the latest model: clean, trustworthy data. In this episode of Signal & Noise, Hyatt's Jer Tippets joins Brett House and Rio Longacre to explain why data quality, governance, identity, and privacy are the real foundation of AI. From customer identity and CDPs to personalization and digital measurement, this conversation explores what brands need to get right before AI can truly deliver.

As enterprises race to deploy AI, many are discovering that the biggest challenge isn’t choosing the right model—it’s building a trusted, consented, real-time data foundation. In this article, we explore why data quality, identity, and consent are becoming the true competitive advantage in enterprise AI, and how companies like Tealium are helping organizations prepare for this next era of intelligent, customer-centric experiences.

Day 3 at Cannes Lions 2026 brought some of the week's most insightful conversations from Hearst House. Signal & Noise sat down with leaders from Experian, Klarna, Zeta Global, Hearst, ID5, Real Chemistry, Omnicom Media Group Health, and MediaRadar to explore AI deployment, identity, healthcare innovation, measurement, and why trusted data and premium content are becoming more valuable as the industry moves from AI experimentation to real-world execution.

For weeks, reports suggested Publicis was exploring a relationship with Hightouch following its acquisition of LiveRamp. In this special Signal & Noise Signal Break, Hightouch CEO Tejas Manohar publicly confirms those discussions for the first time. Brett House, Rio Longacre, and Tejas explore what it could mean for identity, composable CDPs, AI, activation, and the future of marketing infrastructure.

The future of marketing isn't about managing more software—it's about connecting data, intelligence, and decision-making. Scott Brinker explains how AI is dissolving the boundaries between MarTech, AdTech, and enterprise operations, creating a new operating model built around context, automation, and orchestration.

Day 2 of POSSIBLE 2026 features Signal & Noise live from Miami, with top voices across adtech, martech, and AI. Topics include agentic media buying, first-party data, AI-driven measurement, identity, and infrastructure. Key themes: AI as decisioning systems, data bottlenecks, stack consolidation, and rebuilding measurement—showing how marketing is being re-architected for a data-native future.

First-party data is widely valued—but rarely used in media. In Signal & Noise, Rob McLaughlin (explains why less than 3% of spend leverages it. The issue isn’t tools—it’s a broken model. Learn how brands can activate data directly from their cloud, reduce costs, improve speed, and shift from moving data to moving signals for better performance.

In this episode of Signal & Noise, Tracer’s Leighton Welch and Sarah Martinez explore how enterprise stacks are shifting to data-first, with the semantic layer at the core. We unpack five key trends—from warehouse-native architecture to AI readiness—and why success depends on shared, trusted data. Key takeaway: AI doesn’t fix bad data—it exposes it.