AI is revolutionizing neuromarketing

AI is revolutionizing neuromarketing on @venturebeat  #INBOUND17 #ai #ml

  • In recent years, AI has offered a huge boost to neuromarketing — the science of reading consumers’ minds to gauge their reactions to marketing stimuli.
  • When combined with AI-based facial recognition, biometric insights can offer even more accurate data about consumers’ responses to marketing messaging.
  • IBM’s Watson — the company’s computer system that answers questions delivered in natural language — doesn’t use biometric data to gauge the excitement at an event.
  • What makes these methods more than merely interesting is the fact that they provide the means to obtain data about consumers’ emotional reactions in real time and adjust marketing messages accordingly.
  • Once AI is fully adopted in neuromarketing processes, marketers will have the ability to call on consumers to crowdsource their marketing campaigns without the fear of collecting unreliable data.

An unfortunate fact about humanity is that people lie. While this is a chronic issue for human relations, it’s one that may be less of an issue for marketers of the future, thanks to non-human intervention.
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Artificial Intelligence: The Future Of Everything

#ArtificialIntelligence : The Future Of Everything 

 #fintech #AI @Dispatch Weekly

  • Though many fear what could happen when AI is fully incorporated (mainly due to sci-fi movies that portray the AI as somehow malicious) the rise of artificial intelligence will ultimately improve many aspects of our everyday lives.
  • With the use of artificial intelligence, retailers can now focus on the manufacturing and quality of the product while the AI sorts through the data and makes it clear and concise.
  • With the increased efficiency and integration of strong artificial intelligence some jobs will inevitably be taken over by machines.
  • As quickly as artificial intelligence is advancing, there are still challenges that need to be overcome before there is a full shift towards strong AI use.
  • This data is the basis for the central concept of artificial intelligence: machine learning.

This year, 2017, has been dubbed the year artificial intelligence (AI). With developers already beginning to innovate and improve the technologies that already exist, the potential growth in the field is undeniable. The question of strong artificial intelligence is not one of “if” but one of “when” and it is only a matter of time before artificial intelligence is fully integrated into our lives.  There are two main types of artificial intelligence to keep an eye out for: strong and weak.
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