Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

Posts Tagged ‘world series

World Series Of Analytics: Josh Hamilton, Twitter MVP

leave a comment »

I’m still trying to get over the fact that my Texas Rangers lost the World Series two in a row.

But that didn’t stop the Rangers’ Josh Hamilton from earning the social media MVP award, based on positive-to-negative sentiment from fans in the USC Annenberg Social Sentiment Index that I mentioned in a couple of recent posts.

Texas Ranger Josh Hamilton just edged out St. Louis Cardinal David Freese for the "Twitter MVP" in the USC Annenberg Social Sentiment Index for this year's MLB World Series.

The final analysis from the 2011 World Series between the Texas Rangers and the St. Louis Cardinals revealed that Hamilton took home the MVP, but just edged out the Cardinals’ David Freese by 1 percent.

Thank Heavens for small favors.  Freese was the Rangers’ clutch hitting nemesis during those last two games.

The USC Annenberg Social Sentiment Index is an ongoing project between IBM and the Annenberg Innovation Lab (AIL) students to explore Twitterology trends, the moods associated with social media communication.

Students are using IBM Social Analytics technology to analyze millions of tweets in order to assess public social media engagement and opinion from sports and film to retail and fashion.

Each game in the World Series averaged a million tweets, totaling seven million total tweets for the entire series as diehard fans exuded their social media voice and opinions on the players and coaches they followed.

IBM and AIL analyzed each game, identifying the players and coaches with the highest tweet volume and most positive sentiment, then generated a final analysis for the series.

While it’s obvious that Freese and Hamilton both had stand out performances, other noteworthy findings were revealed through the sentiment analysis, such as:

  • Texas manager Ron Washington generated five times more tweets than his counterpart, St. Louis Cardinals’ managerial veteran Tony La Russa.
  • Freese earned an 85% ‘T’ score – the ratio of positive to negative tweets; Albert Pujols earned an 82% positive sentiment rating. Texas’ Derek Holland pushed ahead of St. Louis’ Chris Carpenter.
  • Holland garnered the most tweets for any pitcher during the series, and a respectable 82% sentiment score.  While Carpenter, clearly a star and critical to the Game 7 victor, earned a 75% rating.
  • Clutch player Lance Berkman from the St. Louis Cardinals earned an 81% sentiment score, putting him in close contention for social media MVP.
  • Fans appreciated the game’s specialists, such as Arthur Rhodes from St. Louis, who appeared in three World Series games.  He got one batter out in each game that he faced, helping him earn a fan high of 94% in Game 7.

More social sentiment as discovered in the USC Annenberg World Series Social Sentiment index using IBM business analytics technology.

The analysis found the volume of tweets associated with players and coaches had a strong correlation to the amount of television face time each received during the games – regardless of the caliber of player or coaching performance.

What mattered was personality and fans’ affinity for it defined the social sentiment.  With each additional game, fans couldn’t wait to turn on the TV and their Twitter accounts, generating a higher TV audience and higher volumes of tweets, igniting the power of fans’ banter, usually limited between themselves and their televisions and inserting it into a measurable voice in the Twitterverse.

“This analysis underscores why the social media element in sports — and in any industry — should not be discounted as an unimportant source to glean actionable insights,” said Professor Jonathan Taplin, Director of USC Annenberg Innovation Lab.

“Relying solely on traditional channels to measure fan and customer engagement just won’t cut it anymore.”

IBM and AIL are collaborating to help students explore how analytics technologies can be used by organizations from news outlets and journalists to movie studios and film marketers in order to understand information buried inside Big Data – structured and unstructured information.

To date, the Index has been applied to film forecasting in order to accurately predict movie blockbuster success rates, and most recently was used by students to identify top trends for retailers from the New York Fashion Week shows.

With this project, social analytics is proving you can find out how a fan is feeling directly from the fan’s mouth, or in this case, Twitter handle, versus relying on what traditional media is telling us the fans are feeling.

The same principle applies in the business world too, social analytics is changing in the way research is conducted as the rise of social media has participants discussing openly what they like and dislike, what their plans are, and so on. For marketers, business analytics may take the place of traditional market research in the future as a growing number of companies start to use the technology to track market sentiment.

In fact, according to IBM’s 2011 Global CMO Study  of more than 1,700 chief marketing officers, the majority of the world’s top marketing executives admit they are not sufficiently plugged into real-time conversations about their brands.

Eighty-percent or more of the CMOs surveyed still focus primarily on traditional sources of information such as market research and competitive benchmarking.  Many identified their key challenge as the difficulty in analyzing vast quantities of data to extract meaningful insights that can improve products, services and the customer experience.

However, eighty-two percent of CMOs say they plan to increase their use of social media over the next three to five years.

“While in this case, its fan sentiment, the opportunity to get closer to your customer through social analytics is an opportunity organizations across the industry spectrum can’t afford to miss,” said Rod Smith, Vice President of Emerging Technology, IBM.  “Harnessing Big Data for insights is the key to having a competitive advantage.”

IBM’s collaboration with the USC Annenberg Innovation Lab is part of its continued efforts to advance student skills in analytics across academia. IBM is working with more than 6,000 universities around the world to develop curricula and provide training, resources and support for business analytics.

You can learn more about IBM business analytics capabilities here.

An Epic Game

leave a comment »

Never mind the fact that I’m a Texas Rangers fan.

Never mind that I grew up in north Texas playing the game of baseball, first as a pitcher, then later as an outfielder, a short stop, and finally a catcher.

Never mind that baseball in north Texas was almost a religion, and that for young boys growing up on its plains there was nothing like those lights surrounding the diamond at night.

Also, never mind the fact that for nearly 50 years, the Rangers could never seem to pull it all together at the same time — the hitting, the fielding, and the pitching.

Certainly not the pitching.

Never mind that I lived in and around New York City during the Yankees late 1990s heyday, even attending a World Series game against the Atlanta Braves, a nail biter in and of its own right.

Put all that aside. Last night’s game between the Texas Rangers and the St. Louis Cardinals was simply epic.

It was dramatic, it was heart-stopping, it was nerve-wracking…it was even heart-breaking at times.

But it was also all what baseball in October should be about.

Even though my team came out on the losing side, it’s a game I will never forget.

And apparently, this series is one that the fans won’t forget anytime soon as well.

I mentioned in a post a week or so ago that IBM had partnered with the USC Annenberg Innovation Lab to mine social sentiment for this year’s World Series.

In the last report, which covered games 3 and 4, the number of tweets increased from game 2 to game 3 as fans turned to Twitter to share the baseball experience.  I expect the Tweets in game 6 will be off the charts.

There are some other interesting highlights which you can read in the Smarter Planet blog post here.

I tried to keep an eye on the Twitterstream last night, recognizing that game 6 was something special. But I wasn’t alone, as the Twitterstream moved by so quickly, it was difficult to even read the individual posts.

I expect game 7 will be no different.

I’ll be firmly planted on the edge of my couch for its entirety.

Written by turbotodd

October 28, 2011 at 4:50 pm

Information On Demand 2011: A Data-Driven Conversation With Michael Lewis & Billy Beane

with 6 comments

At Information On Demand 2011, day 3, BBC presenter showed up onstage ready to play ball with Moneyball author Michael Lewis and Oakland A’s general manager Billy Beane.

Michael Lewis and Billy Beane talk baseball, arbitrage, and sabremetrics with Katty Cay onstage at Information On Demand 2011 in Las Vegas this morning.

Fitting, considering we’re currently in the midst of this year’s World Series between the Texas Rangers and St. Louis Cardinals (Game 6 is tonight in St. Louis!)

Kay first asked Lewis why a book on baseball statistics, and Lewis explained that people are sometimes misvalued by markets, and that what Beane was doing with his team in Oakland in 2001 was a science experiment where “the lab rats [the players] didn’t really know they were lab rats.

Lewis went on to tell a hilarious story about first seeing the A’s players walking naked out of the showers, and how what he saw did not seem to be a gathering of muscle-ridden athletes.  They were fat, misshaped, and otherwise seemingly disfigured.

When Lewis approached Beane to ask him about this, Beane explained “that’s kind of the point. We’re in the market for defective people.  We’re in the market for players whose value the market does not grasp.  We’re a magnet for these unattractive bodies!”

Lewis says that’s the moment it hit him: Beane’s assembled the misfit toys of baseball, the people who have been discriminated against because of their appearance and who are greatly undervalued when compared to their actual player statistics.

Lewis went on to explain, “I realized there was this discrimination going on in the market for baseball players.  The way they had done it, with statistics, getting below it…the statistics though were besides the point.  You had to think of it as a business.  These baseball players, who do what they do, for the past 100 years, and there were all these people who considered themselves experts based on intuition instead of actual performance.”

So there they were, October 2001, the A’s v. The Yankees, and Billy Beane had some of the best players out there: Jason Giambi, Johnny Damon…but he knew he wasn’t going to be able to hold on to them, so he was going to have to throw the intuition playbook out the window.

Beane: “I remember thinking I will never have a collection of talent like this.  What the heck are we gonna do?  We knew they were gonna go (Giambi, Damon, etc.).  We knew the whole year that was gonna happen, but we were trying to find some solution and replace in the aggregate what they did.  So, we scoured guys who had A skill, not five skills.  And because we had no money…we had one of the lowest payrolls…we couldn’t afford to invest in the romance of a player, but really what they could do and with no biases for or against them, just their performance.”

Oakland A's general manager Billy Beane explains to the Information On Demand audience how data now trumps intuition in that great American of pastimes, baseball.

“Quite frankly,” he went on to explain,  “if we were ever going to trust the mathematics, this was the time.  We had nothing to lose!”

Cay then posed the all important question: How did you come to this way of looking at the data?

Beane responded that “we never claimed to have invented anything.  Numbers are historically scary to everybody, and math doesn’t come easy and doesn’t come from sports. Sports are more about the gut. But we had to be a disciplined card counter.”

Lewis elaborated: “The fact that they weren’t actually generating themselves a whole lot of new baseball knowledge, but that a lot of it was on the web, available to any team, and they recognized it as knowledge. And the use of analytics was so critical, as it took them to another decision point in the game of baseball.”

“This is why the market was so hostile,” Lewis went on.  “That there was a new and valuable way of analyzing baseball players, because it implicitly undermined their intuition and knowledge of the game.  All these years you did this job, spouting out an intuitive response. So it was finding a better way to measure baseball. Baseball stats are so clean, and it’s easy to assign them in the field of play.  The second thing was, sports are somewhat anti-intellectual, and baseball was really anti-intellectual.  Most of the kids who go on to play the game don’t go to college, and the game itself is not intellectually challenging.”

“You can’t be too stupid to play baseball,” Lewis explained, eliciting great laughter from the audience, and what had to be the most highly-Tweeted quote from the conversation.

The Information On Demand audience was packed into the Mandalay Bay Events Center to listen to Moneyball author Michael Lewis and Oakland A's general manager Billy Beane.

Then, to the heart of the matter in terms of bridging baseball analysis to business purpose: How did you get to the right numbers? asked Katty Cay.

Beane: “If you’re following metrics that have no correlation to business success, or in our case, winning games, you’re in trouble. The older the business, the more challenges and the more traditional and conventional thought.

“Baseball started in the mid 1800s. For us, it was simply put, out of necessity, if we had a dollar, where were we going to get the most efficiency from it.  Bill James really started this whole thing, but he didn’t have a venue by which to test this out.

“But I was in the game, and I had the forum and the platform, and really no other choice.  So, they had to be the stats that correlated the most to winning.”

Beane went on to detail his recipe: “We were able to pile all our chips to guys who got on base, and on base percentage had the strongest correlation to winning games.  For us, this was the statistic that had the most impact on winning.”

Cay: In the moments, you have moments of tension with the staff re: intuition.  Did you waver at all when you looked at the numbers?

Beane: “There was this perspective that it was risky, but it wasn’t, and the beauty of baseball over time is that there’s so many games you weed out the randomness and ultimately we thought we’d come out where we thought we could.  We thought there was more risk in NOT doing it, in going with our guts.”

“To go with our gut would have been the most irrational thing to do.”

Cay: Michael, how do you think Billy was able to get away with this?

Lewis: “He had to be able to intimidate his staff. It was just him and an assistant who were privy to what the goals were.  Re: the players, he said, we don’t tell them, it’ll just confuse them.”

“But he did get some resistance, yet it went away, because he was basically bigger than everyone else in the organization.  He could beat up everybody there.  There’s this law of the jungle quality to the clubhouse.  The players also knew he was a better athlete than they were. It came clear to me right away where reason was being imposed by violence.”

Katty Cay interviews Moneyball author Michael Lewis and his featured subject, Oakland A's Billy Beane, in a fascinating and relevant interview at Information On Demand 2011.

More laughter.

Cay: He looked like such a nice guy.

Lewis: “He’s mellowed.  He would chew tobacco, and his eyes would get red, and I would think, ‘Don’t get in his way!'”

Cay: Let’s translate that to the business environment.  You have to have the confidence to go with what your’e analyzing with the data.

Lewis: “It’s sort of like, did it work or did it not worth? The confidence comes from having the information and feeling like you’re right.”

Billy: “As Michael said, the tough thing is how you give out the information, and you have to be careful.  One of our directors in the back office, he said, ‘I don’t know what you guys are doing back there, but whatever it is, it works.'”

“If you were disciplined with it, you were going to be right to the end.”

Lewis: “There’s a huge amount of randomness, and you can have made a huge amount of decisions, but you can’t change the process of how you made that decision.  People make decisions based on outcomes in sports all the time.”

“If you’re the casino, and you stack the odds in your favor, and you play a really disciplined game, it’s going to be an optimum strategy.”

Cay: You described it as a flipping a coin….if you flip it a million times, it will come out well.

Beane: “The great thing is that the eight teams that get there, those are usually the best teams.  But then you get into a round robin series, and the best team doesn’t always win.  The Phillies were one of the best teams this year, but micro events did them in.”

“So a lot of decisions are made on those random events that happen in a short series.”

Lewis: “For me, this was not just a sports story, it was a market story.  It wasn’t the actual number crunching that interested me, but rather what it exposed about the world around me.”

“You could quantify a player’s value very precisely, but you could value what he’d done in the past.  How can a market be so misvalued for such an obvious thing as a baseball player.  What’s going on in markets is people are operating using intuition vs. statistics, and that influences their judgement!”

“People generalize from small sample sizes.  People overvalue things that are flashy and easy to see, like foot speed or arm strength.  And they underestimate things like plate discipline or ability to get on base.  The big thing is understanding those biases and you, the business manager, are making at least partially intuitive judgments.”

Cay: Why did you let him write a book about this?

Beane: “This is a long answer. There was a momentum that was already starting to happen, and other teams were out there.  Brian Cashman in NY, others, were already on their way. So the book maybe accelerated it a bit.  But the information was on the Web so fans could do the same work. And technology, there was just no way to ignore the fact that technology was creating data that they could go out and analyze themselves.”

Cay: Arbitrage only lasts for a small period?

Beane: “Yeah, other people catch on, even with Wall Street.  The other thing was, when my assistant came in, who was a Harvard graduate, there was now an avenue for people to come into the game who were highly intelligent. Smart people had an opportunity, and it became a meritocracy in the front office.”

“Today, the people who are running sports teams…well, I like to say, in 10 years, I won’t be employable.”

“And what really captured us about Michael, he said right away, ‘you guys are arbitraging the misevaluation of baseball players.'”

“We sort of viewed him as a resource to us as well.  And he was validating everything we did.  He became one of the guys.”

Lewis: “I just had a single question: How is this happening? And it was more than five minutes than I caught on, but it was the Wall Street story in the easy 1980s when a previously, not intellectual business, got complicated and people saw arbitrage opportunities in the market.”

“And in the course of the reporting, it became clear that other teams, especially the Boston Red Sox, had started learning what was going on.  The Boston folks tried to talk me out writing the book, and they wanted me to try and talk Billy into coming to work for them!”

“You could already see that the market was going to move, and the opportunities I identified in the book were going to go away.   So it would have been socially awkward to have thrown me out by this time.”

“So the book was all about them, and all about him [Billy], and he gets a galley, and he’s at spring training in 2003.  And he calls me, and he’s upset after reading it.  What’s disturbing you?”

“You had me saying ‘F—k’ all the time.  And I said, ‘But you do.’  And he says, ‘My mother is going to be furious!'”

“As a coda to the story, when I’m on the book tour, and I’m doing a reading in San Diego, and there’s a lady at the back, with her arms folded like this, and I thought, ‘Oh no…that’s Billy’s mother.'”

“She comes up afterwards and says, ‘My son doesn’t talk like that.’  And I covered for him.”  Lewis explained he went on to have the most awkward dinner with Beane’s mother for the next two hours.

Cay: So weren’t you concerned he wrote this blueprint for arbitrage?

Beane: “No.  Because I said to Michael, “You don’t think anybody in baseball is going to read your book, do you?”

Huge laughter from the audience.

Cay: But they did.  And the game changed…baseball changed…so how are they using analytics today in a way they weren’t 10 years ago?

Beane: “None of them are stupid enough to let Michael in so we don’t know!”

But seriously, Beane explained, “The Yankees now have 21 statisticians!”

Lewis: “Think about why that’s changed.  20 years ago, signed a player who didn’t perform, that was a $20K mistake. Now, that’s a $20M mistake.  So all the front offices have evolved and they’ve ballooned their analysis staff.”

“After the book came out, what’s amazing was how it changed. Baseball owners were getting calls from Wall Streeters, telling them they were wasting money. But the industry left to its own devices would have not changed.”

“The lesson?  If you got a business with an entrenched culture, you don’t know how entrenched it is.  There are so many disincentives to not changing what they know to what they don’t know. There’s a personal resistance to that.”

Cay: So are we seeing a generational shift in the game?

Lewis:  “Sure, all these 50 year olds have been lopped off, and all these 20 and 30 somethings are now running the game.  There’s a book entitled The Structure of Scientific Revolutions, which explains how middle aged physicists are hesitant to embrace ideas from the younger generation coming after them.”

Lewis concluded: “Progress is a funeral at a time.”

The World Series Of Social Media

with 2 comments

Baseball is like church.  Many attend but few understand.  — Wes Westrum

I cannot tell a lie.

I’m extremely excited that my Texas Rangers made it to the World Series for the second year in a row.

Growing up in north Texas, the Rangers were a team we loved to hate…or is that hated to love?  They had no pitching.  They rarely had winning seasons.  But they were our team.

IBM and USC Annenberg have partnered to use analytics technology to catch Major League Baseball fan sentiment via the social media for this year's MLB World Series matchup between the St. Louis Cardinals and Texas Rangers beginning tonight in St. Louis, Missouri.

And they still are. Tonight, in Saint Louis, they’ll be playing the Cardinals in the first game of this year’s World Series.

Which is why it’s also exciting to note that today, IBM and the University of South California Annenberg Innovation Lab announced a new social media analysis project focused on Major League Baseball during the World Series.

The USC Annenberg Social Sentiment Index is being compiled by students and relies on IBM Social Analytics technology to analyze millions of Tweets in order to assess public social media engagement and opinion from sports and film to retail and fashion.

Students from USC have done an initial analysis of the National League Championship Series (NLCS) and will now broaden the index to follow the World Series games beginning today to determine “social media MVPs.”

The goal is to uncover hidden insights from Twitter followers that could help better understand player and team sentiment, and illustrate how advanced analytics technologies can help identify important trends.

The students have used the technology for an initial test of more than 1.5 million public baseball-related tweets during the National League Championship Series, gauging positive and negative nuances and establishing overall sentiment rankings among a sampling of NLCS players.

Initial index findings show:

  • The Cardinals’ Chris Carpenter garnered the highest number of tweets indicating sentiment at 1,573 — 61.4 percent positive and 21.6 percent negative.
  • However, fellow Cardinal David Freese, a fan favorite and official NLCS MVP of the pennant race, garnered 768 tweets; 89.3 percent of his tweets were positive and only 15.4 percent negative; securing one of the highest “T’” scores — winner of the most uniformly positive tweets.
  • The Texas Rangers are winning the Twitter buzz battle: the American League’s social media champion was the focus of more than 56,600 tweetsfive times more than the St. Louis Cardinals — with 79 percent of the tweets being positive. While the Cardinals are behind in the number of postings, they have matched the Rangers’ level of enthusiasm in their tweets. St. Louis garnered 11,500 tweets, 80 percent of which were upbeat.

For baseball fans everywhere, social media is now as integral a part of the game experience as keeping score or enjoying hot dogs and peanuts.

In fact, during the post season, a banner behind home plate has been encouraging spectators to connect using the hashtag #postseason, giving fans an opportunity to both share and learn from others instantly, and providing researchers with an unfiltered voice of the fan that is ripe for analysis.

USC and IBM are collaborating to broaden student skills in analytics and demonstrate how Watson-inspired technologies, such as sophisticated semantic and linguistic analysis software, can provide new insights into public opinion by crunching complex data in real-time.

Analyzing Data Is Not A Game

“Analyzing data is not a game – it’s an important way to understand different constituencies and gain competitive advantage,” said Rod Smith, Vice President of Emerging Technology, IBM. “Whether it’s analyzing fan sentiment during a sports event, hospital patient data for personalized treatment programs, or the latest fashion trends for more targeted marketing campaigns, organizations are realizing the value of analytics to better respond to customer needs.”

The ability to glean insights into viewpoints from Big Data — structured and unstructured information — carries value across all aspects of baseball, from the media outlets covering reactions to the game and players, to businesses marketing to the fans, and most importantly, to the players and coaches themselves.

In fact, analyzing data to generate actionable insights in the baseball world has already afforded major league teams better decision-making to create productive ball clubs year after year. For example, Oakland Athletics general manager Billy Beane has become famous for his [explain what he did for people like me that don’t know] through the use of analytics, made famous by Moneyball: The Art of Winning An Unfair Game, the best-selling book and motion picture.

IBM’s collaboration with the USC Annenberg Innovation Lab is part of its continued efforts to advance student skills in analytics across academia. IBM is working with more than 6,000 universities around the world to develop curricula and provide training, resources and support for business analytics.

The USC Annenberg Social Sentiment Index on baseball is being conducted as part of the 2011 IBM Information on Demand and Business Analytics Forum taking place next week in Las Vegas, October 23-27. (Blogger’s Note: I’ll be in attendance blogging the general sessions, and Scott Laningham and I will be LiveStreaming from the IOD Expo floor.)

The index on baseball will be updated during the World Series on asmarterplanet.com to illustrate the ongoing shifts in fan sentiment throughout the series.

For more information about IBM and analytics, visit www.ibm.com/analytics.

Happy Tuesday

leave a comment »

Hey there, happy Tuesday.

I’ve back and mostly recuperated from Information on Demand 2010.

More on that in a moment.

First, congrats to the San Francisco Giants for their World Series win.  It was a bittersweet first trip to the Big Show for my Texas Rangers, but I loved every minute of it in spite of the outcome.

And I love the City of San Francisco and its surrounding environs, have many friends who live in the area, and hope they are wallowing in their well deserved victory.

Meanwhile. on the subject of speaking of recent victories, Canalys is reporting that Apple now leads the U.S. smart phone market with 26% share.

Boy, do I feel like I went to bat for the right team on this one.  I struggled with my iPhone/Droid decision (moving away from RIM), and I opted for the iPhone (even though I still maintain the Droid market will end up being much, much larger in terms of the mobile application market opportunity).

But, there’s something to be said for the proprietary, quality-control approach Apple’s taking, and apparently millions of Apple iPhone users agree. (By the way, I’ve had NO buyer’s remorse for the iPhone 4 whatsoever.  In fact, I wonder why it took me so long to switch to the iPhone!)

Now, back to IOD 2010.

First, if you missed all the action, that’s okay, we captured a number of key sessions that you can attend remotely in Information on Demand Virtual 2010. There will be two sessions: One on November 17, the other on December 15.  Check out the previous link for more details (but know you’ll be able to see keynotes from a variety of speakers, including Dr. Atul Gawande and the Freakonomics gang).

You can also check out a number of the video interviews Scott Laningham and I conducted with key IBM execs, Business Partners, customers and subject matter experts on our Livestream channel.

And of course, you can read through back some the prior Turbo posts for key session recaps.

Written by turbotodd

November 2, 2010 at 2:28 pm

Yanks in the Clouds

with one comment

How about those New York Yankees???!

Okay, that’s all I’ll say about that, lest I infuriate fans of the Phillies, the Twins, and the Angels.  But hey, thanks for playin’!

I really enjoyed post-season baseball this year…allowed me to reminisce about my time living in NYC, and playing baseball as a kid growing up in north Texas, which was kind of like breathing oxygen in the springtime.  You just did it.

Hats off to MVP Hideki Matsui…6 RBIs, a two-run homer to get things going in the sixth and final game…wow.  Fans back in Japan are going wild with enthusiasm…I just can’t believe the Bronx Bombers aren’t going to ask him back.

This was the first ever World Series I got to trade barbs with fans from other teams online as ubiquitously as was the case this year.  Facebook, Twitter, Email…I took it from all sides, and I gave it right back.

I’ve concluded there are three certainties in life, not two.  Death, Taxes, and you either LOVE or HATE the Yankees.  There’s just not much in between.

I’m one of those who LOVES the Yankees…so bring on your love and your hate…allcomers welcome.

When you finish beating up on the 27-time Major League Baseball World Champion New York Yankees, who have now won 40 American League Pennants…more championships than any other franchise in any North American professional sports history…well, it may be time to enter the IBM Cloud Academy to do a little studying.

Launched recently, the IBM Cloud Academy is a global forum for educators, researchers, and IT pros from the education industry to pursue cloud computing initiatives, develop skills, and share best practices for reducing operating costs while improving quality and access to education.

The IBM Cloud Academy will enable a number of higher learning institutions and other participants to collaborate using an IBM-managed cloud, available via the Internet, lowering barriers to entry for the development and contribution of subject matter expertise.

Through the Academy, members can create working groups on areas of interest to the education industry, “jam” on new innovations for clouds in education-related areas with IBM developers, work jointly on technical projects across institutions, share research findings, and exchange new ideas for research.

Participants are also encouraged to innovate to further advance cloud computing by preparing education-focused open source software for clouds, integrating cloud provisioning and de-provisioning services, validating content for compliance with accessibility standard, and leveraging IBM cloud offerings for teaching, learning, research and administration.

For more information on IBM’s cloud computing university initiatives, please visit www.ibm.com/university/cloud.

Written by turbotodd

November 5, 2009 at 2:50 pm

%d bloggers like this: