0:00 If you’re spending $50 or $100 million on sponsorship of major events and storytelling moments and you can’t answer the board whether it did anything at all, that’s one of the reasons CMOs now have an average tenure of 18 months.
0:14 The problem that keeps everyone up at night is: am I making the right decision, and am I going to get that return on investment?
0:23 Five years ago, if a CMO said, “I want to analyze the impact of my marketing dollars in real time,” the IT team would have thought it was impossible.
0:37 When we decided to solve this problem and tried to buy a supercomputer, people thought we were marginally insane.
0:49 The “super pod” we acquired is likely one of the fastest supercomputers in the world. We can model entire economies.
1:03 We take in enormous amounts of data from across the business — not just marketing — sales, foot traffic, POS systems, and volume of sales.
1:13 We build every connection between every small piece of data we see, with the goal of understanding causality.
1:25 To answer the questions customers ask, we need super pod–level compute — enough computing capacity to make causal AI a reality.
1:37 Imagine a computer powerful enough to brute-force connect every piece of data and never have to guess. This is a new paradigm — new mathematics.
1:49 Once you can model the causal universe of your business, we integrate all the data and examine tens of trillions of relationships before narrowing down to the most important ones.
2:06 Causal intelligence becomes a backbone for enterprise decision-making — surfacing insights that allow executives to choose which levers to pull.
2:18 Should I sponsor the stadium name? Sponsor a major sports league? Hire an influencer? These big capital decisions require understanding the halo effects and ripples they cause.
2:34 Every company wants to know where its next source of growth will come from.
2:40 Being able to look in real time at a brand campaign or Super Bowl ad and say, “Here is the quantifiable business impact,” is a game changer.
2:55 The opportunity goes beyond marketing analytics — think about what a causal AI engine can do across inventory, pricing, workforce, supply chain, and more.
3:08 This is about building confidence in decision-making across the entire enterprise.
3:22 “Any technology sufficiently advanced is indistinguishable from magic.” When customers say it’s magic, it’s not — it’s science.
| Date | Time | Event | Alembic Speaker/Attendee | Location |
|---|---|---|---|---|
| Mon, Jan 5 | 1:50 PM | Fireside chat | Cammy Keiler with Franziska Bell (Chief AI, Data, and Analytics Officer, Ford) | Aria Hotel, Ironwood Terrace |
| Tue, Jan 6 | 10:00 AM | AI for Brand Marketers Forum | Alembic team and 20 top brand marketers invite only. Contact Brand Innovators for details. | Aria Hotel, Ironwood Terrace |
| Tue, Jan 6 | 12:40 PM | Fireside Chat: "Measuring the Unmeasurable: How Causal AI Helps Marketers Become Storytellers, Again." | Tomás Puig with Jamie Allan (NVIDIA) | Aria Hotel, Ironwood Terrace |
| Wed, Jan 7 | 9:00 AM – 11:00 AM | NVIDIA / MediaLink panel: "The AI Factory Revolution" | Tomás Puig (speaker) | Medialink, C Space at the Aria Joshua 9 |
| Wed, Jan 7 | 11:30 AM | Women Who Lead: Navigating Leadership, Influence & Impact | Laura Maness (moderator) | Aria Hotel, Ironwood Terrace |