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IBM Watson: AI For The Real World
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TerryB
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TerryB,
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12/29/2015 | 1:03:27 PM
Re: IBM Watson
@Ilya, you're such a brilliant guy, I must admit I've having a little trouble keeping up with you on your thoughts of Watson versus Google's search (for example).

Isn't a computer always going to have trouble with unstructured data? Leaving metadata tags out of it, how would a computer know that Jules Verne's 20,000 Leagues is fiction and War and Peace is not? At a very high level, I guess I get that non fictional history still struggles to differentiate pure fact from the opinion/supposition injected by the author. But wouldn't AI struggle to even know what is real and what is not when just parsing these books as unstructered data? I'm not sure most humans can tell difference sometimes.

Isn't that at the heart of why IBM designed Watson the way it did? While I agree Watson is struggling to find commercial success right now, I was extremely impressed at what it did on Jeopardy. It certainly defeated the best human Jeopardy players we have?
SachinEE
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SachinEE,
User Rank: Ninja
12/28/2015 | 10:23:50 PM
Re: IBM Watson
I think someone should integrate nanotechnology with an AI and see where it takes them. The work on Nanotechnology has been stagnant for months.
SachinEE
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SachinEE,
User Rank: Ninja
12/28/2015 | 10:22:34 PM
Re: IBM Watson
DeepMind seems to be developing a very powerful AI as well. 2016 is going to be the year of AI I think.
PedroGonzales
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PedroGonzales,
User Rank: Ninja
12/28/2015 | 5:18:56 PM
Re: IBM Watson
@Dean. All organization which collects huge amounts of data would really benefit from Watson. Imagine NASA being able to manage rocket launching by allowing watson to make sense of the millions of sensor it contains during rocket launch.  I hope that somehow Watson can be use in the federal government.  if watson can reduce the number of budget gridlocks the government, we should Watson manage congress.
Ashu001
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Ashu001,
User Rank: Ninja
12/27/2015 | 11:11:22 PM
Re: IBM Watson
Ilya,

Really Fascinating points shared here by you.

I must say I always learn a lot in this field from your discussions here.

The very fact that Yes/No can and should only be issues manually is super-critical atleast in the current state of AI/Machine-Learning.

Maybe in the future when this Technology develops and grows further we will see the Machines doing the Yes/No selections themselves successfully.

But that stage is still some way away today.

 
Ashu001
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Ashu001,
User Rank: Ninja
12/27/2015 | 11:07:49 PM
Re: IBM Watson
Brian,

Fair points made regarding Localized Machine Learning experience and the ability of Managers to learn from that Experience.

However,the problem routinely arises when someone tries to apply those lessons learnt in other Jurisdictions where the same Local Features/Values don't arise.

Just for example's sake-Ford sees their Best-Selling Vehicles in the US are currently Gas-Guzzling Trucks and tries to superimpose the same product in Europe or India as anyone who has experience of all these markets will tell you it won't be successful ;primarily because Fuel Taxes are much-much higher in Europe and India than in America.

In both these Markets Taxes on Gasoline and Diesel come to over 60% of the Retail Cost of the Fuel sold to End-users which are much-much higher than in most parts of America today(not excluding High-Tax Jurisdictions like California,Hawaii and New York City).

When a Consumer has to pay a Dollar for a Litre of Gasoline their behavior is very different than when they have to pay 50-60 Cents /Litre.

This kind of customization and fine-tuning needs to fed into the Machine Learning first before it takes off in a big-big way.

Just my two cents on this fascinating topic.

 
Brian.Dean
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Brian.Dean,
User Rank: Ninja
12/26/2015 | 8:26:15 PM
Re: IBM Watson
Good point about knowledge. I feel that machine learning's first task would be to help businesses allocate resources in an efficient fashion. For instance, if user sentiment is negative for a certain feature of a product that is driving sales figures to be low and similarly, user sentiment is positive for a feature, causing sales figures to increase then, identifying the variables at play would deliver value to the business. The variables could be locally correct (due to culture) but, universally incorrect. Nevertheless, value would still be generated for the business.
yalanand
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yalanand,
User Rank: Ninja
12/26/2015 | 12:28:03 PM
Re: IBM Watson
@Ilya: That is why it's called Structured Query Language. I hear Hashing on indexed SQL tables are lightning fast.
Ashu001
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Ashu001,
User Rank: Ninja
12/26/2015 | 4:47:14 AM
Re: IBM Watson
Ilya,

Great points raised by you here.

As far my reading of all the "Marketing Literature" from IBM Watson goes it seems that the trick which they are currently pushing is for improved Machine learning/analysis of the entire Data an enterprise can house.

Do you feel this is'nt good enough on its own?

Great Blog otherwise.

Best of Luck with all your Court cases.I strongly believe if you pushing in the right direction;eventually you will prevail.

 
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