Archive for the ‘MIT Sloan’ Category
Watson To Take On Harvard And MIT

Watson went to Boston earlier today to take on students from Harvard and MIT in a friendly game of "Jeopardy!"
At last week’s Information On Demand event in Las Vegas, we heard a lot about how the Watson technology is starting to permeate the marketplace.
There was much discussion around the use of Watson by Seton Hospitals using the new IBM Content and Predictive Analytics for Healthcare solution, and also about the continued expansion of Watson into other industries.
Today, we learned that IBM is headed to Harvard with Watson. Not to go back to school, but to present a Watson symposium with the Harvard Business School and the MIT Sloan School of Management.
This event is bringing together some of the brightest academic minds to collaborate on the use of advanced analytics, like those powering Watson, to transform the way the world does business.
As part of the symposium, teams of students from Harvard and MIT will put their skills to the test in a demonstration of IBM Watson’s question answer (QA) capabilities in an exhibition game of the TV quiz show “Jeopardy!”
The commercialization of Watson technology means that today’s students will require new skill sets when they enter the job market. As future leaders in a wide range of industries and entrepreneurial ventures, students will need to combine business skills and knowledge with advanced analytical techniques to compete successfully in the world economy.
For example, when applied to banking and finance industry, Watson-like technologies can uncover hidden patterns in data that can rapidly identify market trends, and provide deep, integrated risk analysis. This provides financial services professionals a more accurate picture of their market positions, helping them better assess risk and hedge their financial exposures.
“Great technology companies like IBM are converting the seemingly impossible into reality these days, to the point that it’s hard to keep up with all the digital innovations and their business implications,”said Andrew McAfee, principal research scientist, MIT.
“So we thought it would be a good idea to devote a day to discussing them, and also seeing them in action. We’re going to spend the morning talking computer science and economics with the world’s leading experts in these fields, then cheer our students on against Watson in the afternoon. I predict at least a second place finish for the MIT team.”
Harvard Business School and MIT Sloan School of Management are the first two business schools where IBM will co-host a Watson symposium.
A team of researchers from MIT, led by Boris Katz, principal research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory, contributed code to the QuestionAnswer capabilities in Watson.
Harvard Business School’s Professor Shih recently wrote an in-depth case study of Watson that is will be used by MBA students in the School’s required first-year course Technology and Operations Management.
Follow the event and share your thoughts at #IBMWatson and the live blog at www.asmarterplanet.com, or via Facebook at www.facebook.com/ibmwatson
IBM Industry Summit: Smarter Analytics — From Insights To Outcomes

IBM Business Analytics and Optimization global leader, Fred Balboni, walks the IBM Industry Summit audience through the new IBM global analytics study.
I mentioned in an earlier post from here at the IBM Industry Summit in Barcelona, Spain, that there are a number of key “memes” emerging.
One that emerged loud and clear yesterday was the opportunity to channel new business insights into concrete business outcomes, and the presentation on the productive use of analytics by Fred Balboni, global leader with IBM’s Business Analytics and Optimization practice, painted a very clear picture of this trend.
Balboni even shared some data of his own, results from “The New Path to Value,” a new study conducted in collaboration with MIT Sloan Management Review and IBM.
This worldwide survey of nearly 3,000 respondents helped IBM, and now the world, better understand how companies are using analytics in their businesses to provide valuable insight.
For example, the study discovered that those organizations which lead in using analytics outperform those who don’t some 3X. Top performers are 5.4X more likely than the average organization to use an analytical approach to business decision-making than those using “intuition.”
Here’s a not-gut-hunch for you: It’s organizational — not data or financial concerns — that are holding back adoption, Balboni informed us. He also explained that it’s not just about having data — organizations want to see insights more clearly and then act on them.
That means moving from simple visualization of data to adopting scenarios and simulations to understand the practical application of analytics to business processes.
The next key finding was that analytic use propagates across functions in a predictable pattern, so start with areas of your business where practical application will be self-evident.
And finally, as adoption spreads, there will be a growing demand for a greater variety of skills and deeper expertise. Makes sense. The deeper insights you can gain, the more need you’ll have for more specialized analytical and business skills. So, like the Boy Scouts, be prepared!
Balboni continued and pointed out how analytics programs can create value for organizations.
One, through infrastructure productivity (taking out costs and improving efficiencies).
Two, through business productivity (improving business control and the bottom online).
And three, helping a return to growth (creating new value for the business).
And finally, as with most every session at the IBM Industry Forum, Balboni provided five recommendations on how organizations can start down the path to this new value and operationalizing their own analytics:
- Focus on the biggest and highest value opportunities (Something the business really values.)
- Start with the questions that the business wants to ask. Within each opportunity, start with questions, not data.
- Embed insights to drive actions and deliver value. Embed analytics practically into processes.
- Keep existing capabilities while adding new ones (don’t throw the baby out with the bathwater). Add new functionality/insight to your business.
- Use an information agenda to plan for the future. This is a roadmap as to how your organization is going to adopt analytics and use it to enhance your business.
You can learn more about the IBM Global New Intelligent Enterprise study on analytics here.