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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.......
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......
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......