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PRODID:-//DevOpsChat//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:01a1989d-2cc9-7376-9b27-0f3e84b102d9@www.devopschat.co
DTSTAMP:20261106T134023Z
DTSTART:20220327T070000Z
DTEND:20220327T080000Z
SUMMARY:Multitenant inference architecture with SageMaker endpoints
DESCRIPTION:Register: https://bit.ly/3tuEaII\nJoin our Senior Cloud Archite
 ct\, Joshua Fox\, for our in-person meetup as they explore ways to allow t
 enants to expose their own models for inference when ensuring that it is a
 ccessed only by the tenant that created it.\n\nIf you’re building a mult
 i-tenant software-as-a-service (SaaS) for machine learning (ML)\, you need
  to build secure environments that protect your tenants’ data from cross
 -tenant access. In this meetup\, we will explain the different architectur
 al approaches using Amazon SageMaker\, and provide best practices for buil
 ding and operating secure ML environments.\n\nMichael Pelts\, Senior Solut
 ions Architect at AWS\, and Josua Fox\, Senior Cloud Architect at DoiT Int
 ernational\, explore the pros and cons associated with using the various a
 rchitectural approaches. They will use features of AWS Identity and Access
  Management (IAM) including Attribute Based Access Control (ABAC).\n**Reas
 ons to join:**\n\n* Implement SaaS Tenant Isolation using Amazon SageMaker
  Endpoints and IAM\n* Build and operate secure ML environments for your te
 nants\n\n***Space is limited! Please register to ensure you can attend. If
  your registration is successful you will receive an email confirmation.**
 *\nRegister: https://bit.ly/3tuEaII\n\nhttps://www.devopschat.co/meetings/
 multitenant-inference-architecture-with-sagemaker-endpoints
URL:https://www.devopschat.co/meetings/multitenant-inference-architecture-w
 ith-sagemaker-endpoints
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