Memory is becoming one of the most important, and least understood parts of AI infrastructure.
For teams building AI-powered products, memory sits directly in the inference path. It decides how fast your product feels, how much it costs to run, and how risky your data footprint becomes as usage grows. Get it wrong early, and you’re signing up for painful rebuilds later.
Join us as we sit down with Cognee to unpack how they built a scalable AI memory system from day one.
Together, we’ll break down three decisions every executive needs to get right:
What your AI should remember vs. forget and why that choice affects value, compliance, and trust.
Memory performance directly shapes inference latency and user experience.
Keep costs and architecture simple as usage scales, without boxing yourself in.
If you’re leading an AI product and want memory decisions you won’t regret six months from now, this session is for you.
Speakers
Cognee
Vasilije Markovic
Founder
Redis
Brian Sam-Bodden
Principal Applied AI Engineer
RSVP
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