Tag Archives: machine learning

AWS Summit London 2019

Yesterday I had the chance to attend AWS summit London with some of my colleagues at Zava.

We have become more of an aws shop recently, after moving the majority of our infrastructure to the cloud.

Besides attending the sessions, and touring around to check the booths, and enjoy the freebies AWS gives for the certified engineers. I have also shot for the ML workshop as I did back in December in the AWS builders day 2018

The first session was titled “IOT and Alexa in connected homes
The interesting part for me in it was how you can use Alexa to interact with your users to extract specific information that you can use in your workflow, like order placement, or online help.
They also showcased a study about how Lancaster university implemented a voice-enabled service for the students in 120 days with awesome features.
Some slides documenting their journey can be found here https://www.slideshare.net/AmazonWebServices/using-voice-technology-to-enhance-the-student-experience

The second session was titled “Build data driven high performance internet-scale applications with aws databases
It was database architecture strategies and best practices for building high-performance and internet-scale applications using Amazon DynamoDB, Amazon Timestream, and Amazon ElastiCache.
They also showcased how the Guardian moved away from MongoDB after more than one production downtime, to RDS PostgresSQL

One of the slides that helps with your DB architecture decisions

The third session I attended was “Modern application architecture
That one was purely a marketing session showing more AWS tools, and motivations to use them in your architecture. they also showcased how they implemented many tools with Sage, specifically the CI/CD process.

After the sessions, I attended the “Using AI/ML to Personalize your Recommendations” workshop for about 2 hours, which wasn’t enough to train all the models and create all the solutions campaigns.
I got to use the AWS personalize which is still in preview, and I see how much manual work it saved when I did similar examples back in December.
You can find the full workshop guide here https://github.com/drandrewkane/AI_ML_Workshops/tree/master/lab-6-Personalize_your_Recommendations
But you can’t implement it until the service becomes generally available.
At night I checked the status for the training/campaigns creation and was happy that it worked without unexpected issues.
You can see a demo of the app we built here https://www.personalisevideorecs.info/recommend/

All the AWS summit 2019 slides are available at this link https://www.slideshare.net/AmazonWebServices/tagged/awsscsummit2019

AWS Builders day 2018

AWS Builders day, December 2018, London

 

I’ve attended few AWS events in the last couple of years in different countries, yet the best experience I had was in the AWS builders day this December 2018 in London.

The difference is this time, is I aimed for the workshops, not the sessions. I went for the AI / ML workshops, and it was a good deviation from the type of technologies I use day to day.

The reason I like this experience is that it was some sort of hands-on training, I guess if I had that much information in a session it wouldn’t stick to my mind the way it did when I applied all the examples by hand.

You can find the materials for these workshops in this GitHub repo, https://github.com/me2resh/AI_ML_Workshops, unlike many tutorials these work as expected if you follow all the steps.

Going through the examples you will cover different aws tools like: aws rekognition, aws lexaws ec2, aws s3, amazon machine learning, aws sagemaker, deep learning AMI, apache MXNet, and Jupyter Notebook.

I hope you will find the material as enjoyable as I did, and if you have any similar resources, please share them in the comments.