It’s important to decide on a data infrastructure early on so that your startup can more effectively grow and fundraise. But don’t get overwhelmed. This video explains it all in an hour.
Being able to choose really powerful instances to reduce your training time on demand, paying only for the ...
Other content in this section
Early stage startups have many technical decisions to make while pursuing product-market fit. Some technical decisions are reversible, while others are critical junctures with long-term impacts.
Data Lake環境を持っていない方・構築中の方、またRDBMSだけでData Lakeを構築している方に向けて、AWSサービスによるData Lake構築についてお話します。
Fintech companies like finAPI enable access to and analysis of banking data and thus support banks, financial service providers, insurance companies, and many other software providers to...
Walk through the various database types to see which is right for your use case and industry.
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...
Even if you don’t have a lot of data, it’s never too early to think about an approach that can scale and is flexible to changing access patterns over time. Learn how to build a secure, flexible and sc
Pitching is an art. Learn what’s critical to have in your pitch deck, what’s best left out, and how to tell a compelling story about yourself and your startup. Don't worry, we've got examples.
With a digital-first mindset combined with machine learning tools, Konfío leverages big data, AWS Lambda, and more to provide instant loans to small and midsize businesses (SMBs) and boost small and m
Learn how to make great hiring decisions that minimize the amount of technical debt you carry over with each engineer and the importance of a great tech stack when trying to compete with companies.
Build an understanding of how DynamoDB works and the mental model with which to develop efficient NoSQL data models and how to provide a foundation for building high-performance scalable applications.
Learn from CIO Abhishek Ravi about Dream11’s journey with AWS, its scalable initiatives on AWS analytics, and how it’s operating at scale.
Learn how Skydio is using AWS to enable rapid development of disconnected intelligent systems. AWS services like Amazon Kinesis and Amazon S3 enable Skydio’s high-throughput data ingestion.
You know analytics are important for growth, but do you know how best to use them? Ilya Volodarsky, co-founder of customer data infrastructure startup Segment, will show you exactly how it's done.
No matter what industry, your startup could probably benefit from automation. In this talk, review the basics of machine learning applications and the services available for machine learning on AWS.
New to machine learning? Explore five ways to handle prediction or inference and decision making in modern apps—no ML code-writing skills needed.
Here's your crash course in deep learning. Take a pre-trained, general-purpose image classification model from the cloud and re-train it to identify objects for the computer to recognize.
Founded in 2018, Osano offers “compliance in a box” to companies, making it easy to ensure customers properly align with the data laws of countries they operate in. No longer do CTOs and CIOs need...
Founded in 2006, Seoul-based startup IGAWorks focuses on building proprietary technology within the mobile big data field.
Druva was born in 2007 when Jaspreet Singh, Ramani Kothandaraman and Milind Borate came together with the thought of disrupting the data protection market. Data protection solutions had become...
Dee Anna McPherson, Senior Vice President of Marketing at Movable Ink, explains why Movable Ink migrated its entire production environment to AWS in 2015—a move that took advantage of multiple...