In this series, we’re comparing cloud services from AWS, Azure and Google Cloud Platform. A full breakdown and comparison of cloud providers and their services are available in this handy poster. We have assessed services across three typical migration strategies: Lift and shift – the cloud service can support running legacy systems with minimal change […]
by Alice Waddicor
In February 2016, I completed my second year of endjin’s three year custom apprenticeship scheme. This blog is a chance for me to reflect on what was learnt over the year – hopefully others will find it useful too. Year one had involved a very steep learning curve as I transitioned from student to graduate […]
by James Broome
What do machine learning and data science actually mean? This post digs into the detail behind the endjin approach to structured experimentation, arguing that the “science” is really all about following the process, allowing you to iterate to insights quickly when there are no guarantees of success.
by Howard van Rooijen
We have produced an insightful booklet called “Embracing Disruption – Financial Services and the Microsoft Cloud” which examines the challenges and opportunities for the Financial Service Industry in the UK, through the lens of Microsoft Azure, Security, Privacy & Data Sovereignty, Data Ingestion, Transformation & Enrichment, Big Compute, Big Data, Insights & Visualisation, Infrastructure, Ops & Support, and the API Economy.
by James Broome
This post looks at what machine learning really is (and isn’t), dispelling some of the myths and hype that have emerged as the interest in data science, predictive analytics and machine learning has grown. Without any hard guarantees of success, it argues that machine learning as a discipline is simply trial and error at scale – proving or disproving statistical scenarios through structured experimentation.