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...
AWS re:Invent, the annual Amazon extravaganza in Las Vegas, is on the horizon. As a technology and cloud geek I am excited to be attending for the first time in person. I found a great introductory event guide here by Mark Nunnikhoven, with useful hints...
At Inawisdom we are perfectly placed to see trends in the data science community – we are growing exponentially so we need to hire and grow/train, and we also see our customers growing out their own data science teams. We’ve seen some of our customers...
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...
By Dr. Sami Alsindi, Data Scientist at Inawisdom Time series forecasting is a common customer need, so a means to rapidly create accurate forecasting models is therefore key to many projects. Amazon Forecast accelerates this and is based on the same technology used at Amazon.com. This post explores...
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...
AI is taking the Retail industry by storm and companies are keen to understand more about direct to consumer engagement. Retailers are reaping the benefits from Artificial Intelligence and Machine Learning to help improve their brand relevance and customer experience. As part of the Innovation ecosystem,...
Neil Miles, CEO and Co-founder of Inawisdom and Bjoern Reinke, Smart Director from Drax Retail recently showcased how they are leveraging the latest Amazon Web Services (AWS) Artificial Intelligence (AI) and Machine Learning (ML) technologies to transform the Drax energy retail business. Drax Retail are passionate...