Tag: Cost Optimization

Machine learning (ML) startups are often heavy compute users, because they train large models using high-end GPUs and deploy them at scale for inference. AWS Startups partners with startups from inception to IPO, and has helped thousands of founders and artificial intelligence (AI) innovators build their businesses on Amazon Elastic Kubernetes Service (Amazon EKS). Amazon […]

Healthcare and life sciences (HCLS) startups recognize that technology is an impactful vehicle for advancing human health at speed and scale. More importantly, HCLS startups are working to do something about it. C2i Genomics, founded in 2019, is one such startup: C2i Genomics is building a whole genome intelligence platform to improve cancer monitoring. Using artificial intelligence (AI) and machine learning (ML) solutions, C2i Genomics’ platform analyzes sequenced genome data to detect the tumor burden of cancer patients via a simple blood test.

Startups are familiar with the importance of creating great customer experiences. Sentiment analysis is one tool that helps with this. It categorizes data as positive, negative, or neutral based on machine learning techniques such as text analysis and natural language processing (NLP). Companies use sentiment analysis to measure the satisfaction of clients for a target product or service. In this blog post, we explain how Widebot uses Amazon Sagemaker to successfully implement a sentiment classifier for Modern Standard Arabic and Egyptian dialect Arabic.

As a startup, your days are filled with competing priorities: you want to focus your time on innovation and product market fit—not worrying about underlying infrastructure or unexpected costs, but by following these four recommendations, you can extend your runway and create a long-term strategy for cost management.

Cost optimization is a priority for customers of all sizes, but founders particularly want to make sure their financial resources are being used properly and they’re getting the most out of AWS. Here are a few approaches that early-stage startups can implement easily in order to get the most out of AWS in a cost-effective manner. 

Cost optimization is a top of mind consideration for any startup and can be achieved with a wide variety of techniques, but how you tackle it depends on the stage of your business’s growth. Startups are laser-focused on product development, which can mean choosing between time spent building extra functionality to manage costs, like reorganizing account structures or building cost analytics pipelines, and prioritizing low-effort-to-high-impact architectural changes to keep your momentum up. In this post, we’ll share three easy-to-implement cost optimization strategies to help you quickly understand and optimize your spend, then get back to building features that will drive value for your customers.

Being able to choose really powerful instances to reduce your training time on demand, paying only for the seconds you use them, and at the same time having the choice of your notebook instances in your favorite tooling opens large opportunities for cost savings and productiveness across startups. AWS Startup Solutions Architect Manager Daniel Bernao walks us through how to do it.

MoneySmart lives and breathes efficiency and believes in intelligent use of AWS services to deliver high ROI and keep costs low. Here’s how they’re doing it.