Cognitive

Watson is the $1B gorilla, but there are a lot of firms working on different aspects. We just profiled 20+ ML vendors

I am seeing a lot of new companies emerging that are focused on creating cognitive computing systems for travel, healthcare, city management, etc

They range from tiny (a man who can't afford a dog) to VC backed with $50-100M invested.

There are also some poseurs, so be careful

Watson is not "just Watson" . there is a very large and growing ecosystem developing around Watson. We profile some of these companies in the book. Also discuss how @welltok built its cognitive application based on Watson

@dreasoning has a long history in the security arena, @bigML has an interesting platform @IPsoft Amelia is pretty interesting

Don't get me started on the Watson hype :-) Good stuff but not unique. There are some good startup efforts out there but they are mostly engines as opposed to solution so will be gobbled up.

@InformationCTO yes, we expect more M&A activity for sure

@InformationCTO I want to get you started - please weigh in!

oh, and definitely look at Zeroth from @qualcomm - advanced neuromorphic HW in your handset

How big will Watson be for IBM?

BTW...still lots of white space bringing GPUs in the cognitive computing space

I think it is important to remember that Watson is evolving and changing. But there are lots of other companies getting into the game and taking advantage of lessons learned

@InformationCTO catch me later, will send our report on ML vendors

IBM is like the ice breaker - injecting momentum into the space

won't take the bait :-) That's a chat to be had around one (or more) glass of wine!

@InformationCTO > Yes, we did a #theCUBE drive by at OpenPOWER Summit, co-located with GPU Tech Conf. Lots-O-Buzz

@ajbowles Sure...you can always reach me at informationcto \at\\ gmail.com

I have a list of humans I'd like to replace...

most of the apps we look at in the book are augmenting intelligence, not replacing humans

I am a machine (just kidding). I think that machines augment humans. Humans can't ingest and make sense of all of the data needed to solve a problem

. @dvellante great question didn't this come up at the MIT event in London - the crowd conversation was here https://www.crowdcha...

most of the replacement today is in robotics

. @jhurwitz how does augmented reality come into play with your themes in the book?

Any activity where actions can be anticipated such as driving, organizing information, etc., is goiing to be automated.

We talked about this extensively with the guys at #MIT #2MA cc: @erikbryn @amcafee

not to minimize the impact though, there are jobs that will go away

Commercial jetliners already can land themselves, for instance.

augmenting reality is clearly part of the cognitive computing landscape..smarter cities, traffic mgt, etc.

we've already seen jobs like travel agents disappear without cognitive, and there is some backlash.

back to our #2MA discussions http://siliconangle.... - as @jhurwitz says, it's the areas when machines can augment/accelerate humans

Yes we learned from reading #2MA that the median income in the U.S. is dropping and computers are perhaps one reason why

augmented reality fits with CC on input and output sides (allowing better human computer interfaces)

@jhurwitz > Perhaps not a machine, but people should be included in the internet of "things" - We are all things

Lots of jobs are going to go away. Automated vehicles means automated over the road trucks, for instance. Uber is already working to create self-driving taxis.

@JeffFrick Have you tried out Google Now? I just heard about it from Hilary Mason on SciFri. It analyzes data about you to recommend places and events that might interest you in your vicinity.

in medicine- physicians are challenged to keep up with new research and daily updates to important information about new treatments - so CC can assist but not replace the highly experienced physician

@makaufman > Impossible task

@ajbowles > Many

Speed & Context...Cognitive systems (AI) are becoming the foundation of massively scalable correlation engines...that turn Big Data into Contextual Intelligence.

Yes

> Yes & Yes

I believe that most Cognitive Computing systems will be in the cloud.

some systems are being offered both ways, and there are projects underway to crowdsource insights in the cloud

#hybridcloud this is huge; the bridge between cloud and onsite or onprem is huge issue bc the system needs to be smart to understand context without boundaries

Data without boundaries

companies may choose to keep a certain corpus of data in a private cloud

. @dvellante adding to the question is the real time nature of data and where that lives

working with a client who wants to keep on prem for latency issues (Wall Street)

People are concerned about data movement and migration

Cognitive applications typically rely on big data and multiple sources of data. You need power and speed to bring all the data together...Cloud is important here

I think it will be hybrid (some data not suited for travel) but I also think that it will embedded on the mobile edge for some use cases

@InformationCTO yes, just wrote about putting CC in the handset, exchanging info with the "mother ship"