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Carmel Eve By Carmel Eve Software Engineer I

Very excited to be speaking at NDC in London in January!

The talk is focused on "Combatting illegal fishing with Machine Learning and Azure" and will focus on the recent work we did with OceanMind.

OceanMind are a not-for-profit who are working on cleaning up the world's oceans with the help of Microsoft's cloud technologies. We had the privilege of working with them on their cloud migration project, and I'm excited to share some of the things we learnt along the way!

If you want to know more about what OceanMind are working on, here is Microsoft's showcase of their work: OceanMind, AI for Earth Showcase, Future Decoded 2019 from endjin on Vimeo.

Azure Weekly is a summary of the week's top Microsoft Azure news from AI to Availability Zones. Keep on top of all the latest Azure developments!

Hopefully see some of you in London in January, but I'm sure you'll be hearing a lot about this over the next few months either way!

Wardley Maps - Explaining how OceanMind use Microsoft Azure & AI to combat Illegal Fishing

Wardley Maps - Explaining how OceanMind use Microsoft Azure & AI to combat Illegal Fishing

Jess Panni

Wardley Maps are a fantastic tool to help provide situational awareness, in order to help you make better decisions. We use Wardley Maps to help our customers think about the various benefits and trade-offs that can be made when migrating to the Cloud. In this blog post, Jess Panni demonstrates how we used Wardley Maps to plan the migration of OceanMind to Microsoft Azure, and how the maps highlighted where the core value of their platform was, and how PaaS and Serverless services offered the most value for money for the organisation.
AI for Good Hackathon

AI for Good Hackathon

Ian Griffiths

Endjin attended Microsoft's AI for Good hackathon at the IET in London, highlighting the potential of tech to amplify good deeds.
Recording of Azure Oxford talk on combatting illegal fishing with Azure (for less than £10/month)

Recording of Azure Oxford talk on combatting illegal fishing with Azure (for less than £10/month)

Carmel Eve

Jess and Carmel recently gave a talk at Azure Oxford on Combatting illegal fishing with Machine Learning and Azure - for less than £10 / month. The recording of that talk is now available for viewing!The talk focuses on the recent work we completed with OceanMind. They run through how to construct a cloud-first architecture based on serverless and data analytics technologies and explore the important principles and challenges in designing this kind of solution. Finally, we see how the architecture we designed through this process not only provides all the benefits of the cloud (reliability, scalability, security), but because of the pay-as-you-go compute model, has a compute cost that we could barely believe!

Carmel Eve

Software Engineer I

Carmel Eve

Carmel is a software engineer, LinkedIn Learning instructor and STEM ambassador.

Over the past four years she has been focused on delivering cloud-first solutions to a variety of problems. These have ranged from highly-performant serverless architectures, to web applications, to reporting and insight pipelines and data analytics engines.

In her time at endjin, she has written many blog posts covering a huge range of topics, including deconstructing Rx operators and mental well-being and managing remote working.

Carmel's first LinkedIn Learning course on how to prepare for the Az-204 exam - developing solutions for Microsoft Azure - was released in April 2021. Over the last couple of years she has also spoken at NDC, APISpecs and SQLBits. These talks covered a range of topics, from reactive big-data processing to secure Azure architectures.

She is also passionate about diversity and inclusivity in tech. She is a STEM ambassador in her local community and is taking part in a local mentorship scheme. Through this work she hopes to be a part of positive change in the industry.

Carmel won "Apprentice Engineer of the Year" at the Computing Rising Star Awards 2019.

Carmel worked at endjin from 2016 to 2021.