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RESEARCH, ANALYSIS & TRENDS




















































             How established is AI in marketing


             really?




            Artificial  intelligence  (AI)  is  often  mentioned  in  behavior   and   customer   preferences   (predictive
            conjunction  with  big  data  or  machine  learning  as  a  analytics).   Applying   these   predictions   enables
            generic term for methods and applications that deal with  marketers  to  provide  their  potential  customers  with
            the automation of intelligent behavior. A key feature of AI  personalized  offers  and  products  on  the  right  channel
            is that it is based on software that is capable of learning  at  the  right  time.  At  the  same  time,  the  results  of  a
            from its own behavior and that way constantly improves  campaign can be evaluated much faster and potential
            itself.                                              for improvement can be identified easily.

            Already  today,  AI  shapes  many  areas  of  our  lives,  like  Chatbots  are  another  example  of  the  use  of  AI  in
            e.g. the  language  assistants of Amazon, Google  & Co,  marketing.  They  can  address  customers  around  the
            new  opportunities  to  provide  faster  and  more  precise  clock,  answer  inquiries  automatically  and  provide
            diagnoses in medicine, or intelligent search engines that  additional  customer  service.  New  data  from  Juniper
            filter relevant results from the flood of information on the  Research found the global number of successful retail
            Internet  in  a  matter  of  seconds.  In  marketing,  AI  has  chatbot  interactions  will  reach  22  billion  by  2023,  up
            certainly a lot to offer as well, mainly by providing a high  from  an  estimated  2.6  billion  in  2019.  According  to
            potential  for  increasing  efficiency  with  a  wide  range  of  Juniper’s  research,  it  is  because  chatbots  can  deliver
            possible applications, data analysis being just the most  high  quality  user  experiences  in  a  low-resource  way,
            important one: By using AI, for instance, a huge amount  boosting customer retention and satisfaction whilst also
            of  patterns  can  be  identified  from  customer  and  reducing operating costs.  A crucial enabler of this  will
            transactional  data  that  help  predict  future  consumer  be   improvements   in   NLP   (Natural   Language

      14            May 2019 - Artificial Intelligence (AI) & Chatbots in Marketing
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