CodeArtifact is a recently announced service by AWS and it is a fully managed repository for storing your build artifacts and code dependencies. CodeArtifact plugs a gap in the Amazon cloud native developer toolkit that I first identified last December as I was packing my...
In January, Inawisdom had our DevOps competency accredited to us. This was a massive acknowledgement of our DevOps ability and also how we uniquely apply it to the world of Machine Learning. The challenge with DevOps and the Developer experience on AWS is that it...
Hope for those of you who celebrate it, that you had a good Christmas and here is my first blog of the new year. This blog covers the very important subject about how to look after your Machine Learning models. Previously both Robin, our CTO, and...
I have just completed my second re:Invent, the first being in 2017, as a customer of AWS. re:Invent is always an amazing week, fun-packed to the max, lots of intense sessions and by the end of it you are inspired but also very tired! This...
At Inawisdom we use Serverless technologies and Micro Service architectures for embedding Machine Learning models within applications or creating distributed solutions. We have found that in production Serverless architectures are cost-efficient and address many of the classic non-functional operational and monitoring requirements of our customers. This...
At Inawisdom we are routinely taking our clients Machine Learning models and productionising them. In this blog I am going to cover some of the aspects of how we accomplish this, offer some top tips, and also share some things we’ve found along the way...
Written by Phil Basford, lead AWS solutions architect, Inawisdom. At re:Invent 2018, AWS announced Amazon Personalize, which allows you to get your first recommendation engine running quickly, to deliver immediate value to your end user or business. As your understanding increases (or if you are already familiar with...