What goes into making a computer understand the world through senses, learning and experience, as IBM says Watson does? First and foremost, tons and tons of data.

To build a body of knowledge for Watson to work with on Jeopardy, researchers put together 200 million pages of content, both structured and unstructured, including dictionaries and encyclopedias. When asked a question, Watson initially analyzes it using more than 100 algorithms, identifying any names, dates, geographic locations or other entities. It also examines the phrase structure and the grammar of the question to better gauge what's being asked. In all, it uses millions of logic rules to determine the best answers.

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IBM may have originally built Watson to win at Jeopardy, but it saw potential applications in healthcare early on. Eventually, it formed a dedicated business unit focused squarely on making those applications happen.

As far back as 2012, Memorial Sloan-Kettering Cancer Center and IBM teamed up to develop a Watson-based system that could help doctors create individualized cancer treatment recommendations for their patients.

The following year, IBM, Memorial Sloan-Kettering and WellPoint introduced products based on Watson. A project with Cleveland Clinic, meanwhile, focused on developing a new tool to help physicians and medical students learn how to make better decisions more quickly.

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How did IBM's Watson get to where it is today? Here are some key events that happened along the way.

May 1997: Deep Blue conquers chess

IBM's Deep Blue computer beats world chess champion Garry Kasparov in a six-game match that lasts several days and receives massive media coverage around the world. It also inspires researchers at IBM to undertake an even bigger challenge: build a computer that could beat the champions at Jeopardy.

February 2011: Victorious at Jeopardy

Watson competes on Jeopardy and defeats the TV quiz show’s two biggest all-time champions. It wins US$1 million; IBM donates the full amount to charity.

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Aug. 25 may be Linux's official birthday, but Oct. 5 is in many ways the day it began to make a real mark on the world. That's when Linux creator Linus Torvalds officially released the first Linux kernel into the wild.

"As I mentioned a month(?) ago, I'm working on a free version of a minix-lookalike for AT-386 computers," Torvalds wrote in a newsgroup post on Oct. 5, 1991. "It has finally reached the stage where it's even usable (though may not be depending on what you want), and I am willing to put out the sources for wider distribution."

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Big data is in many ways still a wild frontier, requiring wily smarts and road-tested persistence on the part of those hoping to find insight in all the petabytes. On Tuesday, IBM announced a new platform it hopes will make things easier.

Dubbed Project DataWorks, the new cloud-based platform is the first to integrate all types of data and bring AI to the table for analytics, IBM said.

Project DataWorks is available on IBM's Bluemix cloud platform and aims to foster collaboration among the many types of people who need to work with data. Tapping technologies including Apache Spark, IBM Watson Analytics and the IBM Data Science Experience launched in June, the new offering is designed to give users self-service access to data and models while ensuring governance and rapid-iteration capabilities.

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