WhatMakesGreat

Pele or Messi? Ali or Sugar Ray Robinson? Navratilova or Serena Williams? Who is the greatest of all time is a debate that rages across all sports. But what makes a sporting great? Is it the number of medals they’ve won? The sportsmanship they’ve shown? Or how they’ve come back from defeat?  

IBM’s campaign for Wimbledon 2017 was set around what makes a great Wimbledon champion. The challenge set to Darren Shaw and his colleagues at IBM’s Emerging Technology group was could they use Watson services to combine statistics, unstructured data and fan’s opinions to find out what makes great?

In this talk, Darren will give a tour of the project, setting out the problem and the technologies used and what it was like to work with tennis pros, coaches and journalists on a technology based project.  He'll talk about the results they found and if they were able to answer the question of what makes a great Wimbledon champion.

Transcript

1. WhatMakesGreat Darren Shaw, IBM Emerging Technology
3. 2017 Challenge
4. Team
7. 1998 2017
8. Analysis
9. var aggregationOptions = { uri: process.env.DISCOVERY_QUERY_URI, method: 'GET', auth: { user: process.env.DISCOVERY_USERNAME, pass: process.env.DISCOVERY_PASSWORD }, qs:{ version: process.env.DISCOVERY_VERSION, aggregation: 'filter(enriched_metadata_text.entities.text:"Roger Federer")' + '.term(enriched_metadata_text.keywords.text,count:20)' } }; request(aggregationOptions, function(err, httpResponse, body){ if(!err){ console.log(body); } }); Roger Federer Terms
10. var quotesOptions = { uri: process.env.DISCOVERY_QUERY_URI, method: 'GET', auth: { user: process.env.DISCOVERY_USERNAME, pass: process.env.DISCOVERY_PASSWORD }, qs:{ version: process.env.DISCOVERY_VERSION, filter: 'enriched_metadata_text.entities.text:"Roger Federer",' +'enriched_metadata_text.entities.quotations.sentiment.type:: (neutral|positive)' return: 'enriched_metadata_text.entities.quotations.quotation' } }; request(quotesOptions, function(err, httpResponse, body){ if(!err){ console.log(body); } }); Roger Federer Quotes
11. var personalityOptions = { uri: process.env.PERSONALITY_URL, method: 'POST', headers: { 'Content-Type': 'application/json' }, auth: { user: process.env.PERSONALITY_USERNAME, pass: process.env.PERSONALITY_PASSWORD }, qs:{ version: process.env.PERSONALITY_VERSION, }, json: { contentItems: ['Early in my career, I struggled with consistency’,'…','…'] } }; request(personalityOptions, function(err, httpResponse, body){ if(!err){ console.log(body) } }); Roger Federer Personality
12. { "personality": [{ "trait_id": "big5_openness", "name": "Openness", "category": "personality", "percentile": 0.6131297578063818, "children": [{ "trait_id": "facet_adventurousness", "name": "Adventurousness", "category": "personality", "percentile": 0.08769239317993993 }, { "trait_id": "facet_artistic_interests", "name": "Artistic interests", "category": "personality", "percentile": 0.22210732991152732 }, { "trait_id": "facet_emotionality", "name": "Emotionality", "category": "personality", "percentile": 0.6120211216944824 }, { "trait_id": "facet_imagination", "name": "Imagination", "category": "personality", Roger Federer Personality
13. Sports Personality
14. Andy Murray Anger
15. Combining Analysis
16. Serve “Ivanisevic’s first serve yesterday sent a small man in a green jacket scrambling to avoid early hospitalisation. Ivanisevic is a one-man argument for the development of umpiring armour.” Telegraph, 4th July 1996
17. 1st Serves In 1st Serve Points Won 2nd Serve Points Won Unreturned Serves Aces Double Faults Service Games Won Federer 65.20% 79.50% 60.40% 39.20% 12.80% 1.70% 93.28% Sampras 60.40% 84.60% 59.40% 41.40% 16.50% 5.20% 94.44% Djokovic 66.70% 76.50% 56.40% 33.10% 9.30% 2.90% 88.80% Nadal 70.00% 76.00% 59.60% 30.20% 6.90% 1.80% 91.15% Murray 60.50% 78.60% 55.80% 33.40% 10.70% 2.40% 89.43% Ivanisevic 59.50% 85.50% 54.00% 48.20% 23.30% 7.20% 92.00% Agassi 60.00% 74.50% 56.50% 32.20% 6.50% 3.70% 87.65% AVERAGE 61.40% 74.00% 51.40% 33.50% 9.40% 4.30% 82.10% Men’s Serve
18. 1st Serves In 1st Serve Points Won 2nd Serve Points Won Unreturned Serves Aces Double Faults Service Games Won S. Williams 62.60% 78.30% 51.00% 37.20% 15.00% 3.50% 85.26% V. Williams 62.50% 73.40% 47.90% 29.40% 6.90% 5.30% 81.45% S. Graf 64.50% 72.60% 57.00% 28.80% 4.90% 3.90% 83.91% J. Novotna 59.90% 68.20% 49.90% 23.20% 4.10% 5.60% 74.50% L. Davenport 61.90% 71.40% 46.80% 29.80% 6.90% 5.30% 77.87% P. Kvitova 63.30% 72.30% 49.70% 32.40% 6.40% 4.90% 85.11% M. Bartoli 64.60% 67.00% 45.60% 23.60% 3.30% 4.90% 72.70% M. Navratilova 73.40% 69.90% 49.60% 26.80% 2.90% 2.20% 83.41% M. Sharapova 64.40% 70.30% 48.80% 28.00% 5.20% 6.40% 80.75% AVERAGE 62.40% 64.70% 45.90% 25.10% 4.00% 5.00% 67.60% Women’s Serve
19. –Johnny Appleseed “She won it with an ace!” Bartoli Serve
20. 50% 55% 60% 65% 70% 75% 80% 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Bartoli Serve Trend Serve Points Won 1st Serve Points Won Bartoli Serve
21. Bartoli Serve
22. Stamina “His [Federer] movement sinuous, his sweat imperceptible, he faced down Novak Djokovic displaying every last drop of the grace by which he has reimagined grass- court tennis as a form of lawn ballet. Even in defeat, this was his cathedral.” Telegraph, 7 July 2014
23. Stamina “I prefer the sun and the heat. But instead we have cold, wind and rain.” Rafael Nadal, Telegraph, 3 July 2007
24. https://shawdm.github.io/whatmakesgreat/ Stamina
25. Adaptability “But there is no athlete in the world with greater emotional resilience, and Nadal performed a sort of mental control-alt- delete in the next changeover. It only took a few minutes’ more play to see that he had lifted his intensity and would find a way to outmuscle his opponent, no matter how well Klizan played.” wimbledon.com, 2015
26. Adaptability “It just so happens that Federer began his Wimbledon career in the dying days of the serve-volley era. When he beat Sampras in 2001, both men rushed the net at every opportunity. And yet, when Federer won his first Wimbledon title in 2003, serve-and-volley had gone from being his sole tactic to an occasional change-up option, used to keep his opponent honest.” Telegraph, 2010
27. Adaptability
28. Content
30. Conclusions
31. @shawdm
32. https://shawdm.github.io/whatmakesgreat/ https://ibmets.github.io/discovery-service-with-personality-insights/ https://www.youtube.com/watch?v=Hm-3MZ3-u8g&feature=youtu.be https://developer.ibm.com/dwblog/2017/watson-at-wimbledon-what-makes-a-great-wimbledon- champion/ https://www.ibm.com/blogs/watson/2017/07/ibm-watsons-ai-is-powering-wimbledon-highlights- analytics-and-a-fan-experiences https://www.nytimes.com/2017/07/09/business/media/marketing-advertising-at-wimbledon.html Links