Beyond banking

Beyond banking
#AI #Fintech #ML #Banking #CX #tech

  • These new players are particularly suitable as partners for banks as they have potential as a delivery system for continued quality and innovation.
  • We can use AI to identify patterns in consumer behavior, which will enable the financial industry to work faster and better.
  • That being said, if banks want to remain relevant they need to—just like any other organisation in a competitive environment— listen and take notice of market demand.
  • Ultimately banks are at the center of the financial services industry.
  • Alongside these relationships, there is also value for banks in seeking cooperation with tech suppliers or transactionally driven organisations that are relevant for the consumer.

What does the future look like? Financial services centered around quality and collaboration where the client comes first.
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OracleVoice: Machine Learning Stands To Transform The Way We Communicate

OracleVoice: Machine learning stands to transform the way we communicate

  • With adaptive intelligent applications, organizations can also begin to offer personalized recommendations to customers by getting to the heart of their individual business needs, purchasing decisions, interests, and patterns.
  • New Oracle Cloud services can provide employees with a knowledge base that provides the insights they need to improve business results through a heightened understanding of the way their customers operate.
  • These adaptive intelligent applications can provide organizations—from finance professionals and HR recruiters to marketing and supply chain managers—with actionable business and customer insights to make more informed decisions, leading to more success for their customers.
  • While customer success has long been a central component in the DNA of many organizations, adaptive intelligent applications are helping business integrate customer success further into the DNA of the devices their clients and employees rely on daily.
  • Then, businesses can truly begin to transform the way they anticipate customers’ needs and provide unrivaled experiences and unmatched success.

With adaptive intelligent applications, organizations can offer personalized recommendations to customers by getting to the heart of their individual business needs, purchasing decisions, interests, and patterns.
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8 predictions for A.I. and bots in the next 24 months

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8 predictions for #AI and bots in the next 24 months 

 #fintech @VentureBeat

  • Interaction design in the context of chatbots is as important to get right as interaction design for websites or applications, if not more so.
  • As the chatbot hype subsides, technologies mature, and companies get feedback from customers, the problems that chatbots tackle will become more obvious, and more valuable.
  • In many instances, early chatbots seemed more like technologies in search of problems than customer-centric solutions.
  • Many startups, including my own ( ReplyYes ), are utilizing A.I. and chatbots to help consumers engage with brands through their mobile devices in interesting and creative ways.
  • When companies endeavor to solve problems with A.I. and chatbots, a hybrid approach with a human behind the scenes will be vital for success.

In the last twelve months, we’ve witnessed a huge surge in the development and adoption of chatbots, artificial intelligence (A.I.), and machine learning. Many startups, including my own (ReplyYes), are utilizing A.I. and chatbots to help consumers engage with brands through their mobile devices in interesting and creative ways. Examples include the Domino’s chatbot, which enables customers to order a pizza through Facebook Messenger; the Burberry chatbot for London Fashion Week, which helps customers order products they see on the runway; and Lowercase Alpha, which helps founders and friends of Chris Sacca’s venture capital firm Lowercase discover some of the best new apps in the world.
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