Ep. #54, Human-like Memory with Vishakha Gupta
About this episode
Rachel Chalmers and Vishakha Gupta discuss the infrastructure challenges of modern AI and the unification of data systems.
On episode 54 of Generationship, Rachel Chalmers sits down with Vishakha Gupta to explore the hidden infrastructure challenges behind modern AI. They unpack why multimodal data systems are still fragmented, how graph and vector approaches can be unified, and what it takes to build production-ready AI pipelines. This conversation offers a systems-level perspective on scaling AI beyond prototypes.
People in this episode
Host: Rachel Chalmers
Guest: Vishakha Gupta
Topics covered
- AI infrastructure
- multimodal data systems
- graph approaches
- vector approaches
- production-ready AI pipelines
- scaling AI
Keywords
- AI
- infrastructure
- multimodal data
- graph approaches
- vector approaches
- production-ready pipelines
- scaling
Mentioned in this episode
Organizations: Generationship, AI
More episodes of Generationship
- Ep. #53, The Era of Reimagination with Dr. Mehdi Nourbakhsh
- Ep. #52, Serendipity as a Service with Piyush Agarwal
- Ep. #51, AI for Best Practices with Soya Park
- Ep. #50, Defense Against Deepfakes with Joshua McKenty
- Ep. #49, Dumpster Phoenix with Denise Koessler Gosnell and Kathryn Erickson
- Ep. #48, Trusting AI with Sarah Novotny
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