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SDN Symposium 2015

Cybera will be hosting an invite-only, one-day technical symposium in which participants will learn and exchange practical technical experiences with SDN, OpenFlow, and OpenStack. The symposium will kick-start exploration and adoption in the Canadian Innovation, Research and Education community. It will precede the 2015 Cyber Summit, which this year is focusing on the evolving discipline […]

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CRTC Wraps Up Hearing on the Future of Broadband in Canada

Last month, the Canadian Radio-television and Telecommunications Commission (CRTC) wrapped up a three-week hearing on the future of broadband in Canada. Nearly 90 academics, public interest groups, individuals, municipalities, and telecom companies appeared before the commission to comment on the feasibility of including high speed internet as a “basic telecommunications service.” The scope of the

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Disaster recovery cloud resources available to Albertans

Businesses or individuals who are affected by the fires in and around Fort McMurray are invited to use Alberta’s Rapid Access Cloud to temporarily store a backup of their servers, or get their websites, email hosting or other services back up and running. Available through Cybera, Alberta’s not-for-profit technology accelerator, this free disaster recovery service

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Banff Venture Forum

Alberta Enterprise is a Foundation Partner of the Banff Venture Forum.  Hosted on September 22 & 23, 2016, the Forum is designed to showcase the hottest hi-tech companies from across North America, offer insight into key issues within the industry, provide a premium networking opportunity and give companies a chance to learn from world-class professionals in

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Systems and statistics: moving data science beyond machine learning

By Jordan Engbers, PhD from Desid Labs Inc. Data science focuses on applying statistical methods — primarily machine learning algorithms — to transform data resources, big or small, into data products that provide actionable insights. This near-complete reliance on statistical methods has led some to argue there is little difference between data science and statistics (but see

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