![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/prasun_raha_rivian_headshot.jpeg?itok=1tBgV4f1&c=298b6a182ccd20df1eea6197d03f7cc6)
Prasun Raha
Head of HW Platform Architecture
Rivian
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/headshot_pradeep.jpeg?itok=x7-uvfps&c=6dba7b88948980fbbbcf03bfaa1af0ab)
Pradeep Gupta
Senior Director- AI Industries, Solutions and Architecture
NVIDIA
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/raynor_ren.jpg?itok=DG6OFwlP&c=37cf0048f4b86d4bfcbcdcb1f5054b1c)
Raynor Ren
Principal Engineer AL/ML
Amazon
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/jin_mi.jpg?itok=Z7HviRAh&c=294b9a6f2ad4a6ada27f79d28e7ff00d)
Jin Mi
Head of Downstream Process Development
Spark Therapeutics
Getting one or two AI models into production is very different to running an entire enterprise or product on AI, and as AI is scaled, problems can (and often do) scale too.
- Standardizing how you build and operationalize models
- Focusing teams where they’re strongest
- Introducing MLOps and establishing best practices and tools to facilitate rapid, safe, and efficient development and operationalization of AI
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/raynor_ren.jpg?itok=DG6OFwlP&c=37cf0048f4b86d4bfcbcdcb1f5054b1c)
Raynor Ren
Principal Engineer AL/ML
Amazon
![](https://connectedhealthandfitness.com/sites/default/files/styles/panopoly_image_square/public/speakers/headshot_pradeep.jpeg?itok=x7-uvfps&c=6dba7b88948980fbbbcf03bfaa1af0ab)
Pradeep Gupta
Senior Director- AI Industries, Solutions and Architecture
NVIDIA