The use of Machine Learning has become a critical component in many businesses, examples being product recommendations, making decisions on stock levels, and evaluating credit scores. Machine Learning uses like these for businesses are having a direct impact on the top line (how money is...
Inawisdom have embedded Machine Learning models at one of our client’s business by using number of inference styles: The two most popular styles we see are real-time and batch (inc. micro). For batch, Amazon Step Functions calling a SageMaker Batch Transform are our weapons of choice....
AWS Ambassador and Inawisdom Head of Practice - Solution Engineering, Phil Basford - talks us through his wish list for the upcoming AWS re:invent which, this year, turns digital...
As an organisation focused on how to help customers drive the most from their data, we work with businesses of all sizes and across a broad range of industries, meaning we need to adapt our approach to meet each customer’s needs. Inawisdom is a long-standing AWS...
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...