London In-Memory Computing Meetup

London In-Memory Computing Meetup

Join us July 18 for a special "Christmas in July" gathering of the London In-Memory Computing Meetup! Santa will present one lucky attendee with an Xbox One S and other prizes in our exciting in-memory raffle.

Alert your colleagues and RSVP now to cool-off in our new air-conditioned location at the exclusive ETC Venues space at Moorgate Bonhill House, 1-3 Bonhill Street, London EC2A 4BX.

Cocktails, beer and wine will be served -- along with a sumptuous hot buffet. All sponsored by your friends at GridGain Systems.

The talks will begin with introductions and a brief Q&A with attendees (so bring your questions, folks!).

>> Talk one: Apache Ignite evangelist Akmal Chaudhri will present: "Machine and Deep Learning with in-memory computing."

Apache Ignite is an open-source distributed database, caching and processing platform designed to store and compute on large volumes of data across a cluster of nodes. Using this free, open-source software,

In his talk, Akmal will give:
* An overview of the ML and DL algorithms and how they work
* Examples of how to implement each ML and DL algorithm
* Tips and tricks for getting the most performance out of ML and DL

He'll also be happy to answer your questions and help with you own use cases following the talk.

>> Talk two: Chris Jenkins, senior director of in-memory technology at Oracle, will deliver: "TimesTen Customer Case Studies."

In his talk, Chris will present several examples of customer use cases for TimesTen to illustrate different application areas and deployment scenarios and why customers chose to use TimesTen. The talk will include details of the first customer to deploy the newly released TimesTen Scaleout feature in production.

Register for our raffle of an Xbox One S 1TB Console - Forza Horizon 3 Hot Wheels Bundle! Winner will be announced at the end of the meetup. And be sure to also RSVP now for this meetup because space is limited!

Speakers
Akmal B. Chaudhri
Technical Evangelist, GridGain Systems
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