Does AI actually exist yet?

Does #AI actually exist yet? 

 #fintech @GaynorRobb @AmerBanker

  • At one end of the spectrum, a pure view of AI, sits those individuals who think that until we have Data on “Star Trek” — who was a synthetic being — we don’t have AI.
  • In digital banking, chatbots facilitating customer service, machine learning to make the loan underwriting process more efficient and other innovations are improving the industry’s efficiency.
  • This definition of AI has parallels with the Turing Test, named for Alan Turing, to measure a machine’s ability to act like a human.
  • Innovations such as Alexa and the Facebook Messenger Service Bot are just examples of transformative technology.
  • But as machine learning advances in the financial services industry, it is hard to determine what is real, and what is hype and theory.

The hype surrounding voice technology, bots and machine learning suggests that artificial intelligence is increasingly common in financial services. But that is not the purist’s view of what AI represents.
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Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between #AI, #machinelearning, and #deeplearning ▷

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
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IBM Cognitive

How to decode #cognitive business: Learn from successful early adopters.  #AI

  • Our market report, “The cognitive advantage: Insights from early adopters on driving business value,” reveals that early adopters employ cognitive computing for competitive differentiation.
  • In fact, 65 percent say that cognitive adoption is very important to their strategy and success, and more than half regard cognitive computing as a must-have to remain competitive.
  • Early adopters leverage a range of capabilities from machine learning to natural language processing to unlock value from a range of data sources, both structured and unstructured.
  • All told, early adopters are pushing the boundaries of traditional business practices and unlocking groundbreaking services and sources of value.
  • Here are just a few of the ways early adopters are seizing the cognitive advantage:

By becoming a cognitive business, early adopters have been able to evolve customer acquisition, increase customer engagement, and improve customer service.
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Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between AI, machine learning, and deep learning

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
Continue reading “Understanding the differences between AI, machine learning, and deep learning”

Artificial Intelligence: Don’t Fear It, Embrace It

Artificial Intelligence: Don't Fear It, Embrace It | #BigData #Artificialintelligence #RT

  • This online event, hosted by the editors of Dark Reading, brings together IT security leaders, bus

    Adam Coates, the director of the Baidu Research’s Silicon Valley AI Lab, says don’t fear artificial intelligence.

  • Adam Coates, director of Baidu Research’s Silicon Valley AI Lab, isn’t worried about artificial intelligence taking over the world.
  • To help the audience understand the current excitement about AI among leading technology companies, Coates reviewed the history of machine learning.
  • The promise of machine learning, Coates explained, was that it would enable people to create systems that learned how to make decisions without those systems being explicitly programmed to do so.
  • Instead of trying to engineer better results by augmenting machine learning systems with interim processing modules, researchers have found that deep learning systems, which rely on neural network technology, can deliver better results through data and computational power than through engineering.

Adam Coates, the director of the Baidu Research’s Silicon Valley AI Lab, says don’t fear artificial intelligence. Instead, look to it to save lives. He spoke at the InformationWeek Elite 100 Conference this week.
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Artificial Intelligence: Four Tips to Increase Customer Retention

Artificial Intelligence: Four Tips to Increase Customer Retention  #ModernMSP

  • MSPs must be sure that the data presented is relevant to the services they provide.
  • Artificial Intelligence: Four Tips to Increase Customer Retention
  • To improve customer retention, MSPs and their SMB customers need to make sure theyâ re offering something special.
  • Implementing 24×7 help desk support with a personal touch is a sure-fire way to increase customer retention and add to the perceived value of a brand.
  • For Thomas, AI may also be â the key to avoiding long IVR phone calls , or at least making them much more bearable.â AI technology uses customer data to streamline the process and provide a quick answer to real customer problems.

Artificial intelligence is changing the fundamental ways businesses are executing their digital marketing campaigns and customer retention.
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CHATBOTS EXPLAINED: Why businesses should be paying attention to the chatbot revolution

#Chatbots Ecosystem Explained: #BigData #DeepLearning #MachineLearning #DataScience #AI

  • We compare the potential of chatbot monetization on a platform like Facebook Messenger against the iOS App Store and Google Play store.
  • CHATBOTS EXPLAINED: Why businesses should be paying attention to the chatbot revolution
  • Chatbots could be lucrative for messaging apps and the developers who build bots for these platforms, similar to how app stores have developed into moneymaking ecosystems.
  • In a new report from BI Intelligence, we explore the growing and disruptive bot landscape by investigating what bots are, how businesses are leveraging them, and where they will have the biggest impact.
  • The chatbot ecosystem is already robust, encompassing many different third-party chat bots, native bots, distribution channels, and enabling technology companies.

In this report, we explore the growing chatbot landscape by investigating what chatbots are, how businesses leverage them, and where they will have the…
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