You'll remember my excitement about Watson back in February - that mind-blowing AI that left me speechless during those Jeopardy! episodes. Well, I've been thinking about it more (probably too much!), and I've realised there's something much bigger at play here.
Beyond the tech specs
Sure, Watson's raw power is incredible, 15TB of RAM, answering questions in 2-6 seconds whilst my desktop would take 2 hours. But what's really got me thinking is how IBM managed to create something this revolutionary in the first place.
Watson represents something I find absolutely fascinating: a company that's been innovating for over a century.
Think about IBM's track record:
- The floppy disk (1971)
- The IBM PC (1981)
- Deep Blue beating Kasparov (1997)
- And now Watson dominating Jeopardy! (2011)
Each of these changed how we interact with technology.
The secret sauce
What keeps a company innovating for a hundred years? IBM's approach seems to be that problems are solved by thinking and they're willing to change everything about themselves except their core beliefs.
Their talent strategy is brilliant too. Since 1963, they've had "Fellows", essentially giving their brightest minds complete freedom to pursue their own projects without constraints. The result, In 2010 alone, they were granted 5,896 patents!
Why this matters
Watson is proof that sustained investment in research and long-term thinking can create real breakthroughs. In our world of quarterly results and instant gratification, IBM has somehow maintained a century-long commitment to solving complex problems.
When I jokingly said "I want a Watson to guide me through my everyday stuff," I was actually glimpsing a future that's been decades in the making. The prototype is so promising because it's built on such solid foundations.
The long game
Here's what really stuck with me: any company with a long-term view must evolve continuously in a world guided by short-term thinking.
That captures why Watson feels so revolutionary. It's the latest expression of a corporate culture that's been pushing boundaries for over a hundred years.
The day when we're all casually chatting with machines feels like the natural next step for AI and natural language processing.