Data & Analytics
The Case for Purpose-Built Databases
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。
finAPI: Digitization Democratizes Opportunity in the Financial Sector
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...
How to Choose a Database on AWS
Walk through the various database types to see which is right for your use case and industry.
Cost Effective Data Science for Startups: Memory Mapped Techniques with Amazon SageMaker
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...
Build Your Startup's Data Infrastructure in 1 Hour
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.
How to Build This | S1E4 Building the Foundation for your Big Data App
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
Using Analytics for Startup Fundraising
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.
How big data helps Konfío approve loans for Mexican SMBs
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
Making Your First Technical Hire
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.
Amazon DynamoDB Architecture & NoSQL Design fundamentals
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.
How Dream11 created India’s biggest fantasy sports platform with AWS
Learn from CIO Abhishek Ravi about Dream11’s journey with AWS, its scalable initiatives on AWS analytics, and how it’s operating at scale.
Skydio: Scaling autonomous flight for enterprise with AWS
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.
Analytics for Startups
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.
Making Sense of Machine Learning for Your Organization
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.
Build a Mobile App with Machine Learning (No ML Expertise Required)
New to machine learning? Explore five ways to handle prediction or inference and decision making in modern apps—no ML code-writing skills needed.
An Introduction to Deep Learning
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.
How Osano Leverages Amazon QLDB for Its Data Privacy Compliance Platform
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...
IGAWorks Empowers Digital Marketing through Data and Technology
Founded in 2006, Seoul-based startup IGAWorks focuses on building proprietary technology within the mobile big data field.
Reimagining Data Protection with SaaS Startup Druva
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...