SSAC Blog

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10th Anniversary Conference Wrap-Up

MIT : March 13, 2016 8:54 pm : Blog, News

As we close out our #DecadeOfData conference, we are beyond excited to have shared the Super Bowl of Analytics/ Dork-a-Palooza with all of you. Both the conference and the world of sports analytics have grown significantly since Bill James started “looking at the money on the field” and the Sloan hosted a 100-person classroom session, and we feel grateful to hold a place in this community.

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#SSAC16 Day 1 Recap!

MIT : March 12, 2016 9:22 am : Blog, News

DAY 1 RECAP: Who would’ve thought that a conference that started with 100 attendees in an MIT Sloan classroom would grow to 3,900 attendees in just 10 years? Co-Founder’s Jessica Gelman and Daryl Morey started us off with a review of the conference history and a perspective on the future. Per Morey, what makes the conference great is:

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Changing the Game: Big Data Helps Bring Home Olympic Gold

MIT : March 9, 2016 2:38 pm : Blog, News, Uncategorized

With less than 150 days until the world’s most anticipated sports competition, the 2016 Summer Olympic games taking place in Rio de Janeiro, Brazil, more than 200 National Olympic Committees (NOCs) are assembling top performing athletes to bring home the gold. To maximize the number of medals won, countries participating in the Olympics implement a range of strategies. Now more than ever these strategies are informed by historical data and forward-looking performance predictions.

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Data Science Interactive: Accessible, Immersive Analytics Space at SSAC 2016

MIT : March 8, 2016 3:39 pm : Blog, News

As a discipline, sports analytics is maturing—fast. Since the original MIT Sloan Sports Analytics Conference in 2007, we’ve seen extraordinary advances in how teams and leagues use data science to power their performance on the field, off the field, and in the stands.

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Announcing SSAC16 Live Webcast!

MIT : March 6, 2016 10:17 am : Blog, News

For those of you who cannot make it to Boston, we are excited to announce that we will again be live streaming the Conference on our YouTube channel.

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IBM: 5 Ways to Win with Data and Analytics in Sports

MIT : March 3, 2016 3:15 pm : Blog, News

Stacy Nawrocki

Stacy Nawrocki Marketing Leader, Media & Entertainment IBM Analytics

Fans are increasingly becoming more than sports consumers. They no longer just watch. They participate, analyze, critique, fantasize and take action to connect with their favorite players and teams in real-time. More and more, they are becoming true brand partners. Understanding and leveraging this new relationship is important — as important as harnessing the acceleration of digital technology. Understanding the intersection of both is the key to success for sports teams.

James McQuivey, Forrester Research analyst and author of the book Digital Disruption puts it this way: “Sports is a massive business that is only barely beginning to experience digital transformation. The years ahead will be full of many opportunities to change the way sports are “delivered” as an experience in the stadium, near the stadium, or at home, not to mention outside of actual game time. All of those innovations are digital.”

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Super Bowl Ads: Beyond the Big Game

MIT : February 19, 2016 2:08 pm : Blog, News

Each year, the Super Bowl is the biggest and most talked about television event. As this year’s matchup between the Panthers and Broncos was the 50th Anniversary of the big game, the NFL, the city of San Francisco, and CBS (among other media outlets) poured an exceptional amount of resources into the celebration both on and off the field. Despite the game being played at Levi’s Stadium in Santa Clara, CA, nearly an hour outside of SF, Super Bowl city was set up in downtown San Francisco to bring together companies and the football fans they hope to call customers.

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AI 3.0: Are we closer to creating the mind of Tom Brady?

MIT : February 9, 2016 10:08 am : Blog, News

By Usman Shuja, VP of Market Development, SparkCognition

My introduction to Artificial Intelligence (AI) in sports happened in my teens when I first learned about IBM’s Deep Blue that eventually beat Gary Kasparov in a series of chess games in 1996. I was just starting to learn the subtleties of cricket to prepare for the big leagues, and the idea that a machine could learn the mental aspects of a game – just like I could – truly fascinated me. Now, after almost a decade of international cricket experience, and a much better understanding of the game, my fascination and appreciation of IBM’s mission has deepened.

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Q&A: Shane Battier on the NBA, Analytics, and More

MIT : February 5, 2016 5:03 pm : Blog, News

We kick off our series of Q&A’s leading up to the 10th annual Sloan Sports Analytics Conference with a returning SSAC panelist and retired two-time NBA Champion.

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How to Score a Job at SSAC

MIT : February 2, 2016 4:17 pm : Blog, News

The 10th annual MIT Sloan Sports Analytics Conference is kicking off in a few weeks! In this week’s 10 for 10, we spoke to two SSAC and MIT Sloan alumni who explored various career and networking opportunities during the conference. The 2016 MIT Sloan Sports Analytics Conference will provide career opportunities only available to attendees, including a dedicated Job Board, LinkedIn group, Resume Book, “Career Conversations”, and Drop-in Resume Reviews.

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