In this episode, Erin takes us on a ride through the merging worlds of martech, adtech, AI, and privacy, giving a bold glimpse into what’s next for customer data. We cover how you can use 1st party data for seed predictions, why it’s time you move on from APIs and adopt data sharing and what the unified data layer means for marketers.More
Category Archives: AI
132: Ashleigh Johnson: Tales of a Marketing Technologist from Microsoft
Ashleigh gives us a glimpse into the enterprise world of martech, and it might not be what you’re expecting. We unpack rotational programs, internal personal networks, shadowing colleagues, robust documentation, AI deployment and empowering tool owners to make technology-driven decisions.More
131: Siobhan Solberg: A guide to ethical marketing with data minimization and privacy strategies
Siobhan takes on a behind-the-scenes look at the hidden mechanics of data privacy, ethical marketing practices, and effective data management. Marketers should break down the user journey into less phases and minimizing data collection. Prioritizing ethical practices and transparency builds trust and leads to more informed decisions and stronger customer relationships.More
130: Sam Oh: Ahref’s VP of Marketing on how content marketers can stay relevant with AI
Sam takes us on a masterclass covering SEO fundamentals, evolving search behaviors, AI in content marketing, refreshing attribution thoughts and work-life balance strategies. He advocates for thoughtful AI integration to enhance research and streamline content creation. Sam shares Ahrefs’ approach of prioritizing product quality and user-centric content over detailed attribution models.More
128: Vish Gupta: Why simplification should come before automation if you want to avoid a Frankenstack
We touch on the pitfalls of Frankenstein stacks and the perks of self-service martech. Vish explains why martech isn’t just for engineers and highlights the efficiency of customized Asana intake forms. We also tackle the dangers of over-specialization for senior leaders. Additionally, we explore the intersection of martech and large language models (LLMs), providing insights on how to stay ahead in the evolving landscape.More
127: Carmen Simon: Using brain science to deviate from expected patterns and create memorable content
Carmen takes us on an adventure exploring the wonders of brain science and how to sustain attention through contrast. We cover embodied cognition, deviating from expected patterns and avoiding the sea of sameness in AI content. We also take a detour into the speculative future of neuroscience and making data impactful through context. More
126: Michael Rumiantsau: AI’s role in democratizing data narratives for marketers
Michael’s on a mission to make data insights accessible and useful for everyone, not just experts, by leveraging AI to provide tailored, easy-to-understand insights that boost decision-making. This episode unpacks the future of Business Intelligence, automating insights with LLMs, and the importance of anomaly detection. Michael also discusses how proprietary data gives companies a competitive edge in the AI market.More
118: Mandy Thompson: Intent data pitfalls, diagram-first automation, and agency-style team management
Mandy shares powerful mindsets and practical frameworks for marketers aiming to future-proof their careers in the complex galaxy of martech mixed up with AI, data privacy, and genuine customer engagement. We cover the art of documentation to avoid feeling like you’re in an Indiana Jones adventure sifting through digital cobwebs from ghosts of marketers past when you dive into a company’s martech setup. More
116: Kevin Hu: How data observability and anomaly detection can enhance MOps
Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. More
114: Mauro Figueiredo: Interview tips for finding martech talent and the risks of adopting AI as a learning substitute
Mauro walked us through his blueprint for identifying martech talent through self-awareness and curiosity, and how these traits play a crucial role in navigating the integration of martech with analytics and AI. We also focused on leveraging AI in marketing and the dangerous messaging of Co-Pilot’s Superbowl ad.More