How Machine Learning Has Come to Transform The User Experience

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How Machine Learning Has Come to Transform The User Experience

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Designing a great user experience is all about knowing your users. Machine learning (ML) has transformed the way technology interacts with users. Let's see how machine learning has come to transform the user experience. –

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Title: How Machine Learning Has Come to Transform The User Experience


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How Machine Learning Has Come to Transform The
User Experience
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  • Machine learning (ML) has transformed the way
    technology interacts with users.
  • From a monotonous question-answer regime, we
    have moved to more conversational "learning"
    algorithms.
  • Fulfilling these small expectations is what
    makes a great UX great.

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What is Machine Learning?
  • ML is an application of artificial intelligence
    (AI) that provides systems the ability to
    automatically learn improve from experience
    without being explicitly programmed.
  • The process of learning begins with
    observations or data, such as examples, direct
    experience, or instruction, to look for patterns
    in data and make better decisions in the future
    based on the examples that we provide.
  • This improves the conversation flow, increases
    the efficiency of the algorithm and ensures an
    improved user experience.

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How Does Machine Learning Help?
  • If there is data that can be segregated based
    on location, physical aspects or genetics.
  • The core idea is to give each individual an
    experience based on their own behavioral aspects
    outside a specific target audience.
  • A good user experience provides good
    information, nice visuals, interactive design,
    a strong impact.

5
Major Applications of Machine Learning for UX?
  • Machine Learning transforms the UX from a
    general form-based question-answer round to a
    conversation with most relevant suggestions.
  • ML equips the user with the ability to navigate
    through heaps of data and find the required
    information.
  • Most companies are developing strong algorithms
    to deal with the situation.

Amazon
Google
Netflix
Spotify
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Future Aspects?
  • ML is not only refining the relationship
    between humans and machines.
  • Android keyboard auto-correction function
    Apple Maps suggestions for destinations stops
    are just basic practical examples of
    implementation of ML in real life.

7
Are You Looking for a Mobile App Developer?
Contact Us
https//www.consagous.com/machine-learning-solutio
ns/
https//www.consagous.com/
info_at_consagous.com
8
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