The home of classic rock for over three decades, Q107 (107.1 FM) is the most listened to rock station in Canada and one of Toronto’s most distinguished and recognized brand names. Since 1977, The Mighty Q has consistently met brand expectations by delivering a steady diet of classics from Pink Floyd, The Beatles, The Rolling Stones, Led Zeppelin, The Who, The Eagles, Queen, Aerosmith, AC/DC and more to its dedicated following of faithful listeners across southern Ontario and worldwide on the Internet (www.q107.com).

Q107 features some of the best known radio personalities in Canada including John Derringer, Maureen Holloway, Andy Frost, Joanne Wilder, Jeff Woods and legendary rock ‘n’ roll icons, Kim Mitchell, Alice Cooper and Little Steven, lead guitarist for Bruce Springsteen’s E Street Band.

Q107 is a critically acclaimed rock and roll powerhouse entertaining over two million listeners each week and attracting close to 5 million page views per month to it’s innovative and market leading website at Q107.com. The station is renowned for engaging radio programming and has been honoured with numerous broadcast awards in Canada and the U.S. by prominent organizations like the Canadian Association of Broadcasters, The Crystal Awards, The Canadian Music Industry, Promax and The New York Festival of Arts.


BIG DATA is the paranoid pop brainchild of producer, Alan Wilkis. His music explores the relationship between man and machine, and the ways in which technology is reshaping the human experience, all with a healthy dose of distrust.

In 2014, BD made waves with the #1 alternative hit, “Dangerous (feat. Joywave),” which has since been certified Gold in the US and Canada, and with nearly 40M streams. Big Data’s 2015 debut album, 2.0, featured collaborations with Kimbra, Rivers Cuomo, Twin Shadow, and Jamie Lidell.

3.0 is the long-awaited upgrade from Big Data. In creating 3.0, Wilkis became obsessed with the subject of artificial intelligence and its many possible applications in our not-too-distant future. While AI may become humanity’s greatest achievement, it carries with it a potential risk that is both existential and irreversible… one of many reasons why experts refer to AI as our “final invention.” This tension is both fascinating and terrifying all at once, and it is the chief inspiration behind Big Data’s latest effort.

Christopher Maalat is following