Cloud re:Cap — January 24, 2020
Cloud re:Cap — week ending January 24, 2020. An aggregated brief rundown of interesting Amazon Web Services (AWS) content, as always I encourage you to Learn and Be Curious and Dive Deep into AWS.
Blog post of the week:
Using artificial intelligence to help increase breast screening attendance
Whitepaper:
Fault-Tolerant Components on AWS
Create fault-tolerant solutions using AWS services.
Video:
AWS Machine Learning Solves Unique Problems
Tens of thousands of customers choose AWS for machine learning to do things like improve the quality of healthcare, navigate the world’s oceans, analyze the game of football, and optimize transportation logistics. From the world’s largest enterprises to emerging start-ups, see how AWS customers are applying machine learning to solve unique problems.
Upcoming Events:
Drive Innovation with Machine Learning on AWS
This free conference is designed to inspire and empower you to accelerate innovation, scale effortlessly, and create new possibilities for tomorrow. Hear the latest innovations in AI and machine learning, dive deep into technical details of real-world applications and find the best use case for yours. Register Now!
Tech Talks:
A First Look at AWS Data Exchange
Learn how AWS Data Exchange makes it easy to securely find, subscribe to, and use third party data in the cloud. Discover more than 1700 data products from more than 90 qualified data providers in the AWS Marketplace.
This is My Architecture:
Connecting Taza Chocolate’s Legacy Equipment to the Cloud with Tulip Interfaces and AWS
In this special episode AWS explore how Tulip Interfaces enables Taza Chocolate’s legacy equipment for cloud-based plant automation.
Week in Review Catchall:
Going faster with continuous delivery
Interested in learning how Amazon approaches continuous delivery and automation with the goal to eliminate delays while maintaining or even improving quality? Read more..
BP is Reimagining Fuel Stations with Machine Learning and IoT
Discover how BP is automating their fueling stations using predictive maintenance solution built on AWS.
“Invention requires a long-term willingness to be misunderstood. You do something that you genuinely believe in, that you have conviction about, but for a long period of time, well-meaning people may criticize that effort. When you receive criticism from well-meaning people, it pays to ask, ‘Are they right?’ And if they are, you need to adapt what you’re doing. If they’re not right, if you really have conviction that they’re not right, you need to have that long-term willingness to be misunderstood. It’s a key part of invention.” — Jeff Bezos
