Showing 13 to 18 of 52 posts.
Innovation
Facing massive data volume, the Einstein AI Platform team struggled with slow response times and managing many simultaneous requests for their LLMs. Learn how they integrated Amazon SageMaker to enhance performance - boosting throughput from 6 to 400 requests per minute and reducing latency.
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Innovation
Nearly 50% of Salesforce's customer traffic now flows through Hyperforce, Salesforce's public cloud-native architecture, handling tens of billions of transactions daily. Discover how Paul Constantinides' team uses predictive and generative AI to skillfully manage this massive traffic flow.
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Innovation
The Einstein team recently faced a major migration challenge — transitioning five different legacy AI stacks’ applications to a new unified AI platform. Learn how the team innovated a migration framework that helped application and cloud orgs specify their workloads.
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Innovation
Developers must tackle time-consuming tasks such as debugging, repetitive coding, and comprehensive testing in their daily activities. Explore how the Einstein for Developers team overcame tough technical challenges to shatter that paradigm and enhance developer productivity.
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Innovation
Marketing Cloud’s production engineering scale team is the engine behind MCAE's engineering, supporting the above features while updating customers’ constantly changing lead data in near real-time. Learn more about how this team continuously innovates to improve customer experience.
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Innovation
Data Cloud’s apps layer team processes a staggering 42+ trillion records daily and a mind-boggling 1 quadrillion records monthly. Explore how the team tackles this massive scaling challenge by adopting new technologies, optimizing, and implementing guardrails to unlock deeper insights for customers.
Learn moreShowing 13 to 18 of 52 posts.