There's something about listening to an album from beginning to end. Feels like the way an artist intends for us to experience it. s / o Seth Godin aka "The brussels sprouts come with bacon" 👇👇👇 “We put bacon on the brussels sprouts because we like it that way.

Anyone that follows me knows that the combination of the 🐐 of all 🐐🐐🐐 aka Rick Rubin and AI is 🤯🤯🤯 for me. s / o Anthropic Billy Oppenheimer Mike Crawford

If you’re into AI, AI-first company transformation etc and aren’t following Aaron Levie, you’re 🍌🍌🍌. Personification of operator led Build-In-Public. So much signal. So well written. 🏆🏆🏆

What is SEO for LLMs? According to a memo from CEO Barbara Peng, Business Insider is laying off 21% of their team as they reorient their business model towards physical events. Excerpt from bullet #2: “We must be structured to endure extreme traffic drops outside of our

This.

Day 1 of Snowflake Summit 2025. “Right now, Snowflake is the most consequential data and AI company on the planet.” ❄️🏆❄️🏆❄️🏆

Snowflake Summit keynote with sridhar + Sam Altman. Sam's quote about the pace of enterprise AI adoption and what's coming over the next 12 months... “What will we say differently next year?" "And I think we'll be at the point next year where you can not only use a

Do less. Better. s / o jack

Instead of trying to figure out "What is SEO for LLMs?", a forward thinking CMO in Financial Services could just sponsor Julia La Roche and her magnetic content... Just sayin'... 👇👇👇🏆🏆🏆

Quote below from this Alec Coughlin guy isn’t wrong… BIG s / o to Kaihan Krippendorff and Outthinker Networks. I really enjoyed our enterprise AI roundtable.

Why is your Semantic Layer so critical to unleashing Enterprise AI for real? Descriptive analytics is looking through your rearview mirror. Predictive Analytics is what’s likely to happen next aka looking through your windshield. Prescriptive Analytics is what you should do

The letter from Alexandr Wang to Scale AI "Scaliens" includes two enterprise AI messages of the +1000 variety: 1️⃣ ”It was clear even then (2016) that data was the lifeblood of AI systems, and that was the inspiration behind starting Scale” 2️⃣ AI as “what may be the most