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Tackling large user traffic with Ajay Sampat, Sr. Engineering Manager, Lyft

Hacker Earth Developers Blog

In our first episode of Breaking 404 , a podcast bringing to you stories and unconventional wisdom from engineering leaders of top global organizations around the globe, we caught up with Ajay Sampat , Sr. Engineering Manager, Lyft to understand the challenges that engineering teams across domains face while tackling large user traffic.

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Five Flute annotates hardware product development into the current millennium

TechCrunch

We have a slew of collaborative features in the pipeline that will help engineers discover and resolve issues quickly while giving engineering managers more visibility into team progress than they’ve ever had before,” said Burke.

Hardware 201
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The Best Product Engineering Org in the World

James Shore

We have a bunch of engineers who dont have the XP mindset. Our engineering managers are at the forefront of that effort. Now, rather than assigning work to individual engineers, we assign it to teams. Some people will be happy about the amount of time theyve gotten from Engineering, and some will be sad.

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How Qualtrics built Socrates: An AI platform powered by Amazon SageMaker and Amazon Bedrock

AWS Machine Learning - AI

The generative AI inference from capabilities in SageMaker like inference components, faster auto scaling, easy LLM deployment, and the optimization toolkit have been a game changer for Qualtrics to reduce the cost and improve the performance for our generative AI workloads.

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

Outside of work, he enjoys traveling and video games. Saurabh Trikande is a Senior Product Manager for Amazon Bedrock and SageMaker Inference. Aakash Deep is a Software Development Engineering Manager with the Amazon SageMaker Inference team. He enjoys working on machine learning and distributed systems.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 145
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The Top Tech Conferences You Don’t Want to Miss in 2019

UruIT

Run concurrently with DeveloperWeek 2019 , DevExec World is a conference organized specifically for tech executives, engineering managers, and lead developers. Just some of these topics include emerging trends, product management, career advancement, diversity and culture, and team skill development.