The Agentic Edge 🔀

Home
Agentic Infrastructure
Sessions
What is an AI Agent? Definitions, Inputs, and Outputs
AI Agents don't *have* to be LLM-based
 • 
Arpit Choudhury
 and 
Schaun Wheeler
Embedding space let agents communicate with each other
Team members need to be able to coordinate and swap notes. Even if the team is made up entirely of virtual agents.
 • 
Schaun Wheeler
5:22
Get comfortable with Decision Automation
Explore the complexities of automating business decisions for improved decision-making
 • 
Arpit Choudhury
, 
Paul Meinshausen
, and 
Schaun Wheeler
37:19
Transforming distributions to encode business priorities
Agents need to navigate both the explore/exploit and the user/business trade-offs.
 • 
Schaun Wheeler
5:04
Beta distribution draws and signal strength
A probability is not a point estimate
 • 
Schaun Wheeler
5:37
How agents view behavioral signals
Use an adaptation of Interrupted Time Series analysis
 • 
Schaun Wheeler
4:24

September 2024

You can't Google your way to a recommender system
Watch now | The Art of Recommender Systems - Part 1
 • 
Arpit Choudhury
 and 
Schaun Wheeler
29:04
The Fluid Dynamics of Message Personalization
Making a personalization map that’s ready to handle the growing complexity of our users' needs
 • 
Edward Keeble

August 2024

Some lessons from Biotech Innovation for GenAI and AI more broadly
"#generativeai is going to change everything!” 🤯
 • 
Paul Meinshausen
'Expected Value' can help you with Owned Marketing Governance
But you need Agents to measure, track, and manage Expected Value at Scale
 • 
Paul Meinshausen
AI, drudge work, & processes
Notes from a podcast with Moderna’s Dave Johnson
 • 
Paul Meinshausen
What Random Walks can teach you about your Credibility with your Customers
Authenticity is a popular topic for Marketers.
 • 
Schaun Wheeler
© 2024 Aampe Inc
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great culture