Speaker 1 - Robert Murray, Head of Asset Intelligence, Scottish Water.
Topic - The role of analytics in asset management – A Scottish Water story. Robert Murray holds a PhD in machine learning from the University of Edinburgh. Over the past ten years he has established and grown Scottish Water’s in-house Analytics Team to a leading position within the industry. The models that he and his team have developed from scratch significantly influence over £1.8 billion of capital investment across Scotland.
www.linkedin.com
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Speaker 2 - Kris McCracken, Software Engineer, Kx Systems. Topic - Time Series Analytics For Big, Fast Data
Learn how to use a relational time-series and columnar database as well as a tightly integrated query language capable of doing aggregations and consolidations on billions of streaming and real time historical records.
Kx Systems are the founders of the world’s fastest time series database – kdb+ – as well as the ‘q’ query language it is written in. kdb+ is a high-performance, high-volume database designed as a solution to Big Data problems.
kdb+ is widely adopted by financial institutions around the world, including the top ten global investment banks, however as a result in the explosion of big and the internet of things, Kx is now expanding its applicability into new verticals such IoT, Utilities, Telco, Retail, Space and Pharmaceutical industries. Perhaps you would be interested in our most recent work with Aston Martin Red Bull Racing or Airbus !
kx.com
6:30 PM – 7:00 PM: Networking
7:00 PM – 7:30 PM: Robert Murray, Head of Asset Intelligence, Scottish Water
7:30 PM – 7:45 PM: Q & A Session
7:45 PM – 8:15 PM: Kris McCracken, Software Engineer, Kx Systems
8:15 PM – 8:30 PM: Q & A Session
8.30 PM - 9.00 PM: Networking and Drinks
More details and tickets: www.meetup.com
Imported From: www.meetup.com
This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.
