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SQL Social No 33. Machine Learning as a Service

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Luke H.
SQL Social No 33. Machine Learning as a Service

Details

Machine Learning as A Service – A VoicePrint Example

Food, Drinks will be provided!

SQL Social brings together Database & BI professionals, industry experts and those with an appetite for learning more about data & information management, in a relaxed atmosphere to network, share ideas, impart knowledge, and have a great time whilst doing so.

We will provide you with plenty of food and drinks for the evening, all thanks to our fantastic sponsors (see below).

Networking

This is not your usual SQL Server User Group event. At SQL Social our aim is to give YOU the opportunity to meet with MVPs, well-known speakers, experienced professionals & industry experts and ask them about the data-related topics that matter to you. It is an opportunity to meet new people, make new friendships and find out what is going on in the data industry in Melbourne.

This Month's Speaker and Topic

James Mao - Machine Learning as A Service – A VoicePrint Example

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James Mao (http://www.linkedin.com/profile/view?id=7126067&authType=NAME_SEARCH&authToken=Atv-&locale=en_US&srchid=113339571429614656723&srchindex=1&srchtotal=94&trk=vsrp_people_res_name&trkInfo=VSRPsearchId%3A113339571429614656723%2CVSRPtargetId%3A7126067%2CVSRPcmpt%3Aprimary%2CVSRPnm%3Atrue) is a Cloud Principal Consultant at DWS in responsible for the development of cloud practice.

Prior to returning to Australia last year, James worked at Microsoft as an Azure technical evangelist.

With a combination of solid IT and business background, James is able to smoothly engage with various types of stakeholders, to support them to design and build / migrate scalable solutions on cloud platforms. He has actively developed reusable IPs and best practices for the Microsoft cloud businesses in US, Singapore and China.

James Mao received a Master’s degree in BI and Knowledge Management at Monash University and a MBA from CEIBS, Shanghai China.

Azure Machine Learning as a Cloud based service can greatly accelerate the time to market of new AI based solutions. In his talk, James will use a VoicePrint example to showcase how the Machine Learning service fits into a whole solution picture.

Our Sponsors:

As always, we are very fortunate to have wonderful sponsors on board who will ensure that we are suitably fed and watered. A big thank you to Lobsterpot Solutions, C3 and Pluralsight for their ongoing support of this great community event!

https://evbdn.eventbrite.com/s3-s3/eventlogos/15224811/lobsterpotlogo1.png (http://www.lobsterpot.com.au/)

LobsterPot Solutions (http://www.lobsterpot.com.au/) is an Australian company with staff in Adelaide and Melbourne, offering consultancy and training services around Australia. LobsterPot Solutions specialises in SQL Server, including performance tuning, Business Intelligence, and more.

https://cdn.evbuc.com/eventlogos/15224811/c3logotypehorizposv2.png

C3 Business Solutions (http://c3businesssolutions.com/) is an award winning Australian Information Management, Business Analytics and Business Intelligence company that delivers measurable business improvements for our clients.

C3 specialise in developing and deploying successful strategies end-to-end for large public & private sector organisations. While remaining vendor independent, C3 work with clients to establish current as well as future needs. Their team of top tier consultants continuously focus on delivering measurable business change.

http://s.pluralsight.com/mn/img/logo/pluralsight-fullcolor-250x55-v1.png (http://pluralsight.com/)

Pluralsight (http://pluralsight.com/) is the global leader in high-quality online training for hardcore developers. The revolutionary Pluralsight training library provides developers with instant access to a rich collection of online training courses delivered by industry authorities. See what you can learn at pluralsight.com (http://pluralsight.com/) and join the @pluralsight (http://www.twitter.com/pluralsight) community on Twitter.

See you there!

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SQL Social Melbourne
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The Royal Melbourne Hotel
629 Bourke Street · Melbourne