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Human-in-the-loop Computing

"A machine learning model takes a first pass on the data, or every video, image or document that needs labeling. That model also assigns a confidence score, or how sure the algorithm is that it’s making the right judgment. If the confidence score is below a certain value, it sends the data to a human annotator to make a judgment. That new human judgment is used both for the business process and is fed back into the machine learning algorithm to make it smarter. In other words, when the machine isn’t sure what the answer is, it relies on a human, then adds that human judgment to its model."
. . .
"Human-computer interaction is much more important for artificial intelligence than we ever thought. In each case: chess, driving, facebook and ATMs, making sure computers and humans work well together is critical for all of these applications to work. Notably, however, there’s a different interface between the computer and the human in each but it’s the pairing of humans and machine–not the supremacy of one over the other–that yields the best results."

#ArtificialIntelligence   #FutureTechnologies  

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The Future Of AI Will Be Stacked

Rick Collins, the president for enterprise business at Next IT, argues that the the race to create an "all-encompassing virtual personal assistant project (VPA)" such as Siri, Google Now, Cortana, Watson, and even new entrants like Viv , are driving the AI experience in the wrong direction for enterprises. Why? Because, "for an AI to truly function at the enterprise level, it will require such deep integration with company knowledge, and even proprietary information and data, that the experience necessitates control of the VPA by the company." He suggests that companies should be able to build AI stacks one day, in the same way they build their CRM or marketing stacks.

#ArtificialIntelligence   #FutureTechnologies  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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Artificial Intelligence meets the C-suite

In this interview with McKinsey’s Rik Kirkland, Erik Brynjolfsson and Andrew McAfee explain the organizational challenge posed by the Second Machine Age.

#ArtificialIntelligence   #Executives   #DecisionMaking  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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Deep Learning, data-driven decisions and the management of firms. There's some really good stuff in this interview. 

"So the role of a senior manager in a deeply data-driven world is going to shift. I think the job is going to be to figure out, “Where do I actually add value and where should I get out of the way and go where the data take me?” That’s going to mean a very deep rethinking of the idea of the managerial “gut,” or intuition."

"The only way to understand data is to look at these data-driven companies like Facebook and Netflix and Amazon and Google and say, “OK, you know, I can see that’s a different way of running an organization.” It is certainly not the case that domain expertise is suddenly redundant. But data expertise is at least as important and will become exponentially more important. So this is the trick. Data will tell you what’s really going on, whereas domain expertise will always bias you toward the status quo, and that makes it very hard to keep up with these disruptions."

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When robots buy you gifts with your money

Cass Sunstein produced a nationally representative survey in the #USA, with about 500 respondents and a margin of error of plus or minus 4.5 percentage points. He discovered that a "significant percentage of Americans already welcome predictive shopping." What is predictive shopping? Well, he explains it without saying anything about #robots, but you know, it's possible.

Citation: AS almost everyone knows, we have entered a period in which companies can predict people’s purchases, often with uncanny accuracy. In the near future, they might even use those predictions to enroll you in special programs in which you receive goods and services, and are asked to pay for them, before you have actually chosen them. Call it predictive shopping.
. . .  [Example] . . .
The situation was presented like this: Suppose that over the years, your favorite online bookseller has compiled a great deal of information about your preferences. On the basis of a new algorithm, it thinks it knows what you will want to buy before you do. I asked, would you enroll in a program in which the seller sent you books that it knew you would purchase, and billed your credit card? (Anyone could send the book back for a refund or just opt out of the program.) Fifty-nine percent said no, but 41 percent said yes.

Read more at the NYTimes: http://goo.gl/2CosDB

#PredictiveAnalytics   #Retail   #ArtificialIntelligence  

Posted by +Dan Durrant Image: Employees of a food stand take pictures of Titan, a robot created by England Cyberstein Robots, performing at the Danilovsly market in downtown of Moscow, Russia, 12 May 2014. (EPA/SERGEI ILNITSKY) http://goo.gl/2Vk4zc
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Can Big Data Improve Medical Diagnoses?

Cool. Machines may recognize cancers before we do.

Citation: What if software akin to the program that recognizes faces in Facebook photos could detect cancer in an x-ray?

That’s the idea behind Enlitic, a new startup founded by Jeremy Howard. Howard is a heavy hitter in big data: He’s data strategist for Silicon Valley venture capital powerhouse Khosla Ventures and former president and chief scientist of Kaggle, which hosts big-brain predictive modeling competitions.

Enlitic aims to use advances in machine learning to make medical diagnoses. The company says it has partnered with hospitals and medical imaging companies – Howard won’t say which ones – to mine a host of data sources, including x-rays, lab results, handwritten doctors notes, and claims records. The company is building software algorithms that identify otherwise invisible patterns in these data sources, making for sharper diagnoses.

#BigData   #Healthcare   #Entrepreneurs   #ArtificialIntelligence  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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The eyesight of machines is growing stronger

A lot of new developments in machine vision were revealed at this year's Large Scale Visual Recognition Challenge. All of the winning groups chose to share the details of their technical innovations, keeping them proprietary. / #DriveInnovation  

That means we're likely to see commercial applications a bit sooner. So, in the not too distant future expect #ArtificialIntelligence  to play a bigger role in medical diagnosis, factory robotics and automotive safety systems. The author points out that "a number of carmakers have added the ability to recognize pedestrians and bicyclists and stop automatically without driver intervention." / #ReduceRisk   #Automation  

Still, machines have yet to achieve what scientists call “scene understanding," which entails comprehending the whole story of what is happening in an image by using human language. If they ever figure it out, let me know, so that I can strap one of those machines onto my head. Heh.. / #FutureTechnologies  

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Siri Co-founder: Speech Recognition Ready for Leap Forward

Citation: Speech recognition has been around a lot longer than Siri, but Apple's dulcet-toned digital assistant helped bring the technology to a mass audience, and inspire futuristic visions like the one voiced by Scarlett Johansson in "Her. " Adam Cheyer, one of the co-founders of Siri (acquired by Apple in 2010), says speech recognition is poised to become more widely used and more sophisticated.
. . . 
Cheyer acknowledges that speech recognition is “just one tool in how people interact with computers,” he believes that seamlessly combining touch and voice interfaces will lead to new applications in fields like education and profoundly impact people’s lives.

#VoiceInterfaces   #ArtificialIntelligence  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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AI KNOWS TUNES

#ArtificialIntelligence can bring music to our ears in new ways ... imagine.

HT +Paul Simbeck-Hampson #DriveInnovation
Artificial intelligence researchers can now use software to correctly identify the chronological progression of music from performers like Queen, Abba and the Beatles. 

Imagine that. 

"Let It Be" was the last album released by the Beatles, but the algorithm correctly identified those songs as having been recorded earlier than the songs on "Abbey Road."

"People who are not Beatles fans normally can't tell that 'Help!' was recorded before 'Rubber Soul,' but the algorithm can," Shamir said. "This experiment demonstrates that artificial intelligence can identify the changes and progression in musical styles by 'listening' to popular music albums in a completely new way."

Artificial intelligence identifies the musical progression of the Beatles:
http://goo.gl/rW2x4g

#beatles   #music   #AI  
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Report: Robots Will Take Over More Jobs Than They Create

1,800 industry experts were surveyed by the Pew Research Internet Project and the Elon University’s Imagining the Internet Center. Half of them predicted robotic technology will create more jobs that it takes away. The other half warned that even more tasks will be performed and taken over by artificial intelligence.

Citation: “There was obviously no clear consensus at all among the folks surveyed,” said Aaron Smith, a senior researcher at the Pew Research Center’s Internet Project and lead author of the report.
Nearly all the experts said things like driverless cars, robotic doctors and nurses and intelligent digital agents would be a part of daily life by 2025.

But they were evenly divided over whether this would be a boon or a curse for human beings.

52 percent of respondents said that historically technology has ultimately created more jobs than it has displaced. They said people will find other forms of work that only human beings can perform; that the technological advances will give us all more time and energy to do more meaningful work.

But the other 48 percent fear that the roll of artificial workers will be unstoppable and that humans will not be able to adjust in time to avoid massive unemployment and social disruption.

#Automation   #TechnologicalUnemployment   #DisruptiveInnovation   #ArtificialIntelligence  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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Google picks up artificial intelligence mobile messenging assistant Emu

Citation: Google Now could be taking a new direction with the internet giant's purchase of Emu, a self-touted "built-in" virtual assistant.

Founded in 2012 by alums from Siri, Apple, and Yahoo Messenger as well as Google, the app's functionality isn't far off from Google Now or other virtual assistant platforms on the market. Emu can share locations, manage reminders, schedule meetings, and more.

The difference with Emu, as touted by its makers, is that this platform relies on artificial intelligence, or machine learning and natural language processing, to perform all of these tasks in real time as quickly as one can share a photo via text.

#VoiceInterfaces   #ArtificialIntelligence   #Mobile  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

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