AWS Startups Blog

Tag: getting started

A Systematic Approach for Analytics Services Migration from GCP to AWS

In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.

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How Startups Deploy Pretrained Models on Amazon SageMaker

For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.

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Qualifying Customers

Qualifying for the Right Customers (Startup Founder Sales Series, Part 7)

For startup founders, the time is your biggest constraint. You are running a company, seeking capital, guiding product, hiring staff, and leading marketing and sales. If four out of five deals turn out to be duds and each deal take ten hours, you have lost a week of time. This is why rigorously qualifying your deals is so vitally important. You need to focus your time on finding the right customers. In part 7 of the Startup Founder Sales series, AWS Startup Advocate Mark Birch tells us how.

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