Applied AI meetup

Ravelinprevents fraud and protects margins for online businesses. Companies all over the world are accepting more transactions with fewer chargebacks thanks to our unique machine learning-based approach to fraud prevention. By automating standard fraud tasks, fraud teams can spend time focusing on the root causes of fraud instead of day-to-day review of transactions.

Ravelin

With the Chrismtas holidays officially over, it's back to business which means it's time for another Applied AI meetup. 
Programme: 6:30pm - Beer, food and chat  7:00pm - Hussam EL-Sheikh - CTO &amp; Founder of 9fin 7:30pm - Lightning Talks  8:00pm - Leonard Austin - CTO &amp; Founder of Ravelin
 
Hussam EL-Sheikh The Power of AI to Revolutionise The 100 Year old Bond Markets Having worked in Investment Banking Trading Technology for 4 years before co-founding 9fin in late 2016, Huss and the 9fin team work on tools and systems to liberate information from financial documents. He loves Python, and loves PostgreSQL even more. 9fin is AI powered financial data extraction for the bond market. 9fin’s technology helps search, filter and analyse the world’s fixed income financial data, allowing professionals to make better investment decisions. 
 
Lightning Talks  (~ 5 mins in length) <A CLASS="message-authorName j-authorName" TARGET="_blank" REL="nofollow noopener noreferrer">Yasmin Taylor </A>Driving Forward - A talk about driverless cars
Syed Husain New non functional requirements that become important with ML implementations
Gus Hinestrosa Practical problems of last mile AI delivery technology Michaela Muruianu Machine Intelligence Garage. A programme that helps businesses access the computation power and expertise to develop and build machine learning and artificial intelligence solutions. 
 
Leonard Austin High Throughput ML Pipelines and Predictions in Production Systems Ravelin is a smart fraud detection and prevention platform that helps companies stop online payment fraud by examining customer behaviour data and spotting fraudsters while there is still time to block them. The company imports a client’s visitor, registration, and payment data in real time, via an API, inspects data using an AI, identifies and blocks fraudsters, and enables systems to prevent such crimes in future.
Ravelin runs a go microservices platform that makes around 1,000 predictions a second. This talk will give a walk through our multiple attempts to scale and optimise model deployment. A journey that will take use through Docker, CoreOS Rkt, Pickel, Protobuf, Sidecars, Python and Go.

Campus London

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Applied AI meetup

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