IBM's Watson: A new era in analytics?

By Susan Feldman, IDC IT Agenda Community |  Business Intelligence, analytics, business intelligence Add a new comment

If you've been following the Jeopardy-IBM Watson faceoff this week, then you have witnessed a breakthrough in analytics and in new architectures for mining and analyzing diverse types of information in a single application. Watson and its successors may usher in a new approach to computing, combining as it does, so many disparate techniques to create a "thinking" machine. IBM has combined deep NLP with machine learning, a voting algorithm, a method of interpreting the questions and assessing them by formulating parallel hypotheses, and Hadoop and UIMA for preprocessing, as well as the usual search, fuzzy matching software and of course an in-memory caching system to save time in retrieval. To me, the strength of this system is the combination of all of these, and it is remarkable in that it doesn't rely on just one. In Watson, the whole is greater than the sum of its parts.

Watson also tackles some of the greatest problems in understanding text: It's open domain--not specific to a particular industry or topic areas.

  • It parses questions well, one of the biggest failings in search and text analytics systems
  • It gathers evidence for each of its hypotheses, and offers a confidence level, thereby tackling the question of how much to trust a computer-based answer
  • It searches and analyzes text in multiple formats from multiple sources, without taxonomies, schemas or controlled vocabularies
  • It scales
  • It's blindingly fast
  • It handles language in all its ambiguity, including puns, metaphors, jokes and sly allusions.

IBM's Watson is a great example of harnessing the essence of search architecture, and combining it with other non-database technologies in order to tackle problems like answering questions not only for Jeopardy, but also for detecting patterns and suggesting solutions in healthcare, terrorism detection, fraud detection, or reputation monitoring and risk mitigation. Decision support has been a goal for decades, and this kind of system will make it possible.

For more on Watson, see our link on idc.com at http://www.idc.com/downloads/IW20110217.pdf


Originally published on IDC IT Agenda Community |  Click here to read the original story.

ITworld LIVE

Business IntelligenceWhite Papers & Webcasts

White Paper

Five Myths of Cloud Computing

In recent years, cloud computing has been as visible as any topic in IT. Its front-page news status has been accelerated by Amazon, Salesforce.com, Yahoo, and Microsoft®, among other firms, aggressively vying for leadership in providing cloud infrastructure or services. However, this race for mindshare has obscured cloud computing facts. Many admit to the haze surrounding cloud computing.This white paper separates fact from fiction, reality from myth, and, in doing so, will aide senior IT executives as they make decisions around cloud computing. While dispelling cloud computing myths, we will answer tough questions: How hard is it to adopt a private or hybrid cloud? How difficult is it to maintain and secure a cloud? How will the cloud transform my business? Do I have the right skill sets in place? What are some of my cost considerations? HP and Intel are committing extensive resources to helping customers with all of their questions and concerns around cloud computing.Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.

White Paper

Hybrid IT service delivery: A strategic thinking model for optimizing IT resources

With the introduction of cloud computing, the IT industry has a new path for applying Shared Services business models to better utilize a company's financial and operational resources. At the same time, it creates the need to understand how these new business models can be integrated with existing IT organizations and business, and understanding that it is sub-optimal to organize the management of IT resources into a "one size fits all" management model. HP Hybrid Delivery strategy offers a structured approach to the development of your IT delivery model, taking advantage of the best of all the various business models and creating a safe pathway through the complex landscape of IT sourcing and IT delivery.Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.

White Paper

Using BD for Smarter Decision Making

This paper looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business.

Webcast On Demand

InfoSphere Warehouse Packs Demo

These flash modules make warehousing more tangible and relevant to business users through detailed explanations of the InfoSphere Warehouse Packs.

Sponsor: IBM

Webcast On Demand

Making Information Matter

Join us in the upcoming Hitachi virtual Forum on Wednesday, June 6th, at 8:30am PT / 11:30am ET and gain meaningful insights on how to maximize efficiency and reduce expenses. At the virtual forum you will learn about key solution strategies in our featured live video sessions from top leaders at Hitachi, like Miki Sandorfi, Chief Strategy Officer and industry experts, such as Ben Woo, VP WW Storage Systems at IDC.

Sponsor: Hitachi

See more White Papers | Webcasts

Ask a question

Ask a Question