Q&A: Steve Mills, of IBM's Software Group, discusses how IBM plans to fix the problem of quickly serving up relevant information building up in growing data stores.
NEW YORKHere you have a healthy appetite. Since the Informix deal in 2001, IBM has acquired a whopping 16 companies in its Information On Demand initiative.
But that aint nuthin.
It capped off the buying spree on Feb. 16 by announcing a three-year, $1 billion, 25,000-body effort to turn Information On Demand into packaged products.
In other words, its taking this stuff seriously. eWEEK Database Editor Lisa Vaas caught up with Steve Mills, senior vice president of IBMs Software Group, to find out how exactly IBM plans to tackle the problem of quickly serving up relevant information out of the roomful of noise thats coming from burgeoning data stores.
The problem of analyzing burgeoning business data stores isnt new. Whats new here in what IBM is announcing today?
The capability that exists today in terms of technology allows solving problems that couldnt be solved easily a few years ago. The cost of solving problems, the challenge of the quantity of data and [the speed with which it can be accessed, analyzed and delivered], along with the growing speed of hardware, now allows things to be [achieved] that couldnt before.
The ability to do it rapidly and in real time and to provide answers back [quickly] starts to allow [scenarios such as] real-time crime fighting capability. Thats a speed and performance issue.
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You have squad cars with wireless connections. Theyre requesting information, having to sift through large numbers of records, often millions of records, sifting through information that gives you probable matches to people who might be associated with a crime. That kind of real-time crime fighting wasnt possible years ago. The bandwidth and the software sophistication wasnt [available] years ago.
In a panel presentation, Scott Vanderhoef, county executive of New York State Departments Rockland County, also talked about setting up, with IBM, Verify NY, a new county-specific data-mining computer system to weed out fraud in the states Medicaid program. What are some of the examples of noiseirrelevant datayou have to deal with in that scenario?
[With the Medicaid project], the tough part is trying to figure out if a problem was from a [healthcare] provider or an individual citizen. The problem might seem like theyre overclaiming, or double submitting.
Given IBMs investments, both in acquisitions and in todays announcement, the company must see this as a huge opportunity.
Weve been investing quite heavily over the last five years in getting access to data in all forms, in all places. How do you bring it together? How do you apply sophisticated algorithms to information?
Theres a big business opportunity associated with this. Because technology and know-how have come together to allow us to do things we couldnt do years ago.
The $1 billion investment on software, the 15,000 [IBM experts] on the service side, with another 10,000 [personnel] coming, the reason for that is we in fact see these things coming together. The need is there. Weve been building know-how in different domains.
Whether its government entitlement programs, discovery in various industry segments, healthcare getting a huge amount of attention, common healthcare recordsbeing able to do manipulation for outcome-related treatments so you understand what different therapies will result in, so you can compare data, so you can understand what to prescribe for someone. All this will be information-based. It will be huge amounts of information to be correlated, related, manipulated.
The next wave of innovation is going to come through various aspects of information understanding, manipulation and decision making, in real time.
Next Page: Servers and On Demand.