ÜBER DIESE EPISODE
In this episode, Greg sits down with longtime colleague John Forrest to talk about what really matters in technical customer support. Drawing on years of experience across startups and enterprise software, they explore trust, customer relationships, AI, vector databases, agentic memory, and why human judgment still matters even in an AI-driven world.
Englisch
Vereinigte Staaten
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WEITERE EPISODEN IN DIESEM PODCAST
In this episode of Day to Day, Greg reconnects with Darius Sabas to unpack his journey from DataRobot to leading analytics teams across European marketplaces. Darius shares lessons from scaling data organizations, building modern data stacks with tools like Snowflake and Mixpanel, and navigating th…
I sat down with Todd Persen from Hydraulics to unpack observability, log data, and what actually happens behind the scenes when your apps, streams, and infrastructure are running at scale. We get into how systems are monitored, why logs are exploding in size and complexity, and why LLMs struggle on…
In this episode of Data Day with Greg Michaelson, Greg sits down with Gaurav Jain to explore one of the hardest problems in modern developer tooling: understanding developer intent. They dive into how technical buyers actually evaluate products, why traditional B2B funnels break down when selling t…
In this episode of Data Day, I sit down with Bhaskar Sunkara, co-founder and former CTO of AppDynamics, to unpack the evolution from application performance monitoring to AI-driven business analytics.
We go deep on how AppDynamics redefined monitoring by focusing on business transactions instead o…
Tom Coyle’s career path sounds fictional until you realize it’s all true. West Point graduate, Army officer, CIA operations specialist, AI strategist, startup founder, and now health tech entrepreneur focused on improving cancer outcomes through nutrition and data.
In this episode, Tom shares stori…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Greg Michaelson, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
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