3 Examples of the Potential in IBM's Watson

This post was originally published on this site

The face of International Business Machines(NYSE:IBM) transformation is Watson. Bursting onto the scene in 2011 by winning a game of Jeopardy!, IBM's cognitive computing system is now being used in a wide variety of industries to boost efficiency and cut costs. The company predicts that 1 billion people will use Watson, either directly or indirectly, by the end of 2017.

There have been many Watson-related deals and partnerships announced in recent months, and the pace seems to be accelerating. Here are three ways Watson is being used today that speaks volumes about its future potential.

IBM's Global Center for Watson IoT in Munich, Germany.

Tax preparation

Watson is well suited for applications that involve a large amount of unstructured data. There are 74,000 pages in the federal tax code and thousands of changes each year, making the tax preparation industry ripe for an injection of IBM's flavor of artificial intelligence (AI).

IBM announced on Feb. 1 that it had teamed up with tax preparation company H&R Block to bring Watson into the world of 1040s and W-2s. Watson has already been trained and validated, and is being used by some of H&R Block's tax professionals at locations across the country to ensure that no deduction is missed. The rollout is expected to continue over the next few years as Watson improves with more data.

IBM made a big push into financial services last year with its acquisition of Promontory Financial Group, a risk management and regulatory compliance consulting firm. As with tax prep, the financial regulatory landscape involves a massive amount of unstructured data — 300 million pages by 2020, according to IBM. With over 10% of operational spending at major banks going toward compliance, Watson has the potential to make the industry far more efficient.

The H&R Block deal is small on its own, but it represents a new application for Watson and a stepping stone into other areas in the financial services industry.

Smart elevators

IBM struck a deal with KONE, an elevator and escalator company, last year to provide cloud-based Internet of Things services. KONE manages millions of elevators and escalators worldwide, which produce vast amounts of data from embedded sensors. That data is now sent to IBM's cloud, where Watson churns through it and helps predict problems before they become outages.

You can watch the conversation between a few of KONE's elevators and the IBM cloud on KONE's website. Here's one in Illinois. It gives a good idea of the kind of information that's exchanged. Temperature, humidity, landing accuracy, speed, the length of time the door was open, and the amount of bounce upon arriving at a floor are all measured and sent to Watson for analysis. Anything out of the ordinary can be checked out before it escalates into a more serious problem.

It's not hard to imagine Watson being used to monitor all kinds of equipment beyond elevators, reducing maintenance costs and downtime. I suspect that the KONE elevator deal is just the beginning.

Customer support

IBM's vast customer base gives the company a major advantage as it transforms itself into a cloud and cognitive computing company. More than 225 local and state governments use IBM's mainframes to support various government functions, and those relationships that IBM has built over decades give the company an edge.

IBM recently won a $24 million contract to revamp New York City's 311 service using Watson. The company will build a new system supporting multiple communications channels, with Watson helping callers get exactly the information that they need. The system will replace a 15-year-old Oracle system that was originally designed to handle only phone calls and requires $1.5 million of maintenance spending each year.

Watson could potentially augment any customer support system, providing relevant answers, saving customers time, and lowering costs. Like the two deals above, the NYC 311 deal is small in the grand scheme of things. But it provides a glimpse of the future potential of IBM's cognitive computing system.

Timothy Green owns shares of IBM. The Motley Fool owns shares of Oracle. The Motley Fool has a disclosure policy.

Be Sociable, Share!

Related Posts

 

MarketTamer is not an investment advisor and is not registered with the U.S. Securities and Exchange Commission or the Financial Industry Regulatory Authority. Further, owners, employees, agents or representatives of MarketTamer are not acting as investment advisors and might not be registered with the U.S. Securities and Exchange Commission or the Financial Industry Regulatory.


This company makes no representations or warranties concerning the products, practices or procedures of any company or entity mentioned or recommended in this email, and makes no representations or warranties concerning said company or entity’s compliance with applicable laws and regulations, including, but not limited to, regulations promulgated by the SEC or the CFTC. The sender of this email may receive a portion of the proceeds from the sale of any products or services offered by a company or entity mentioned or recommended in this email. The recipient of this email assumes responsibility for conducting its own due diligence on the aforementioned company or entity and assumes full responsibility, and releases the sender from liability, for any purchase or order made from any company or entity mentioned or recommended in this email.


The content on any of MarketTamer websites, products or communication is for educational purposes only. Nothing in its products, services, or communications shall be construed as a solicitation and/or recommendation to buy or sell a security. Trading stocks, options and other securities involves risk. The risk of loss in trading securities can be substantial. The risk involved with trading stocks, options and other securities is not suitable for all investors. Prior to buying or selling an option, an investor must evaluate his/her own personal financial situation and consider all relevant risk factors. See: Characteristics and Risks of Standardized Options. The www.MarketTamer.com educational training program and software services are provided to improve financial understanding.


The information presented in this site is not intended to be used as the sole basis of any investment decisions, nor should it be construed as advice designed to meet the investment needs of any particular investor. Nothing in our research constitutes legal, accounting or tax advice or individually tailored investment advice. Our research is prepared for general circulation and has been prepared without regard to the individual financial circumstances and objectives of persons who receive or obtain access to it. Our research is based on sources that we believe to be reliable. However, we do not make any representation or warranty, expressed or implied, as to the accuracy of our research, the completeness, or correctness or make any guarantee or other promise as to any results that may be obtained from using our research. To the maximum extent permitted by law, neither we, any of our affiliates, nor any other person, shall have any liability whatsoever to any person for any loss or expense, whether direct, indirect, consequential, incidental or otherwise, arising from or relating in any way to any use of or reliance on our research or the information contained therein. Some discussions contain forward looking statements which are based on current expectations and differences can be expected. All of our research, including the estimates, opinions and information contained therein, reflects our judgment as of the publication or other dissemination date of the research and is subject to change without notice. Further, we expressly disclaim any responsibility to update such research. Investing involves substantial risk. Past performance is not a guarantee of future results, and a loss of original capital may occur. No one receiving or accessing our research should make any investment decision without first consulting his or her own personal financial advisor and conducting his or her own research and due diligence, including carefully reviewing any applicable prospectuses, press releases, reports and other public filings of the issuer of any securities being considered. None of the information presented should be construed as an offer to sell or buy any particular security. As always, use your best judgment when investing.