How Machine Learning Has Come to Transform The User Experience

Views:
 
     
 

Presentation Description

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.

Comments

Presentation Transcript

Slide 1:

How Machine Learning Has Come to Transform The User Experience

Slide 2:

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.

Slide 3:

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. What is Machine Learning?

Slide 4:

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. How Does Machine Learning Help?

Slide 5:

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. Major Applications of Machine Learning for UX? Amazon Google Netflix Spotify

Slide 6:

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

Slide 7:

Are You Looking for a Mobile App Developer? Contact Us https://www.consagous.com/machine-learning-solutions/ https://www.consagous.com/ [email protected]