MarTech Podcast ™ // Marketing + Technology = Business Growth

Enterprise marketing teams struggle with AI implementation beyond basic automation. Patrick Brown, Vice President of Growth Marketing & Insights at Adobe, shares how global organizations can strategically deploy artificial intelligence across complex customer acquisition and engagement programs. He outlines Adobe's three-pillar framework for AI adoption: experience delivery optimization, advanced measurement analytics, and foundational tool development. Brown also explains why forward-looking AI projections often fail and how marketing leaders should focus on proven AI applications like summarization and synthesis rather than predictive capabilities.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketing teams struggle with AI implementation at scale. Patrick Brown, Vice President of Growth Marketing & Insights at Adobe, explains how AI transforms marketing operations across global B2B and B2C segments. He outlines Adobe's three-pillar framework for AI adoption: delivering personalized experiences, measuring performance with advanced analytics, and building foundational marketing technology tools. Brown also identifies the limitations of AI in forward-looking projections and emphasizes the importance of human judgment in strategic decision-making.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketing teams are overusing AI for forward-looking projections. Patrick Brown, Vice President of Growth Marketing & Insights at Adobe, explains why AI excels at summarization but struggles with predictive accuracy. Brown outlines Adobe's three-pillar AI framework: delivering enhanced customer experiences through optimized content and advertising, implementing advanced measurement systems for campaign performance, and building foundational marketing automation tools that accelerate customer acquisition without relying on unreliable forecasting capabilities.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketing leaders struggle with AI implementation at scale. Patrick Brown, SVP of Global Marketing at Adobe, shares how his team operationalizes AI across customer acquisition and engagement programs. Brown explains why AI excels at content summarization and synthesis but fails at forward-looking projections, and outlines Adobe's three-pillar framework for deploying AI in experience delivery, measurement analytics, and foundational tool development.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketing teams struggle with AI implementation at scale. Patrick Brown, Vice President of Growth Marketing & Insights at Adobe, shares how global organizations can practically deploy artificial intelligence across customer acquisition and engagement functions. He explains why AI excels at summarization and synthesis but requires human judgment for forward-looking projections, and outlines Adobe's three-pillar framework for integrating AI into experience delivery, measurement systems, and foundational marketing tools.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.