Canada Reverses Early Election Result Ban
The Canadian government has reversed its ban on reporting early election results before all polls close. The ban was originally created in 1938 in an effort to prevent the voting results of Eastern Canada, which is three hours ahead, from affecting the later votes of Western Canadians.
However the development of the Internet and social media sites like Twitter and Facebook has made enforcing this information ban a huge headache for the Canadian government and the Elections Canada officials.
"This ban, which was enacted in 1938, is out of place and unenforceable," said Tim Uppal, Junior Minister for Democratic Reform at a news conference today.
Ironically minutes before the conference, Uppal used his Twitter @MinTimUppal handle to announce the change in policy.
Reversing the ban legalizes the use of email, Facebook and Twitter to inform about election results; upholding Canadians’ freedom of expression, according to Uppal.
The Conservative government will implement the new law before the October 2015 federal election and news agencies and broadcast outlets will be able to publish results in real-time.
Last year’s election underscored the difficulty of enforcing the ban, with varied rulebreakers from the #tweettheresults Twitter page to CBC, the national broadcaster, who accidently released election results before realizing that the polls hadn't yet closed. These offenders faced up to five years in prison and fines up to $25,000. However no charges were made probably due to the difficulty and hassle of tracking down so many offenders.
How AWS helps NASCAR delight its fans
AWS needs no introduction to readers of Technology Magazine but we rarely get an opportunity to look closely at how it serves the sports sector. All major sports draw in a huge supporter base that they want to nurture and support. Technology is the key to every major sports organization and enabling this is the driving force for AWS, says Matt Hurst, Head of Global Sports Marketing and Communications for AWS. “In sports, as in every industry, machine learning and artificial intelligence and high performance computing are helping to usher in the next wave of technical sports innovation.”
AWS approaches sports in three principal areas. “The first is unlocking data’s potential: leagues and teams hold vast amounts of data and AWS is enabling them to analyze that data at scale and make better, more informed decisions. The second is engaging and delighting fans: with AWS fans are getting deeper insights through visually compelling on-screen graphics and interactive Second Screen experiences. And the third is rapidly improving sports performance: leagues and teams are using AWS to innovate like never before.”
Among the many global brands that partner with AWS are Germany's Bundesliga, the NFL, F1, the NHL, the PGA Tour and of course NASCAR. NASCAR has worked with AWS on its digital transformation (migrating it's 18 petabyte video archive containing 70 years of historical footage to AWS), to optimize its cloud data center operations and to enable its global brand expansion. AWS Media Services powers the NASCAR Drive mobile app, delivering broadcast-quality content for more than 80 million fans worldwide. The platform, including AWS Elemental MediaLive and AWS Elemental MediaStore, helps NASCAR provide fans instant access to the driver’s view of the race track during races, augmented by audio and a continually updated leaderboard. “And NASCAR will use our flagship machine learning service Amazon SageMaker to train deep learning models to enhance metadata and video analytics.”
Using AWS artificial intelligence and machine learning, NASCAR aims to deliver even more fan experiences that they'd never have anticipated. “Just imagine a race between Dale Earnhardt Sr and Dale Jr at Talladega! There's a bright future, and we're looking forward to working with NASCAR, helping them tap into AWS technology to continue to digitally transform, innovate and create even more fan experiences.”
Just as AWS is helping NASCAR bridge that historical gap between the legacy architecture and new technology, more customers are using AWS for machine learning than any other provider. As an example, who would have thought five years ago that NFL would be using ML to predict and prevent injury to its players? Since 2017, the league has utilized AWS as its official cloud and ML provider for the NFL Next Gen Stats (NGS) platform, which provides real-time location data, speed, and acceleration for every player during every play on every inch of the field. “One of the most potentially revolutionary components of the NFL-AWS partnership,” says Matt Hurst, “is the development of the 'Digital Athlete,' a computer simulation model that can be used to replicate infinite scenarios within the game environment—including variations by position and environmental factors, emphasizing the league's commitment to player safety.”