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CIO Applications Weekly Brief

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  • Customer Experience Management
Editor's Pick (1 - 4 of 8)
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The Business of Service Management

The Business of Service Management
Mitch Kenfield, Principal, CIO Advisory Practice, KPMG US

Customer Engagement Management and Technology

Customer Engagement Management and Technology
Manuel Bautista, CIO, Harvard Maintenance

Predictive Analytics Key Component of Customer Experience Management

Predictive Analytics Key Component of Customer Experience Management
Richard Barton, CIO, American Management Association

FizTrade: A Customer Experience Management Case Study

FizTrade: A Customer Experience Management Case Study
Tom Grounds, CIO, Dillon Gage Metals

Transforming Customer Experience with Information and Technology

Transforming Customer Experience with Information and Technology
Jiunn Tan, CIO, Ascend One

How Customer Experience is Getting in the Way of a Great Customer Experience

How Customer Experience is Getting in the Way of a Great Customer...
Yasminka Nemet, Chief Marketing and CCO, MV Transportation

The Intersection of Technology and Customer Experience in the Field: Getting It Right

The Intersection of Technology and Customer Experience in the...
Claudine Bianchi, CMO, ClickSoftware

Revolutionizing Customer Relationships through Chatbots

Revolutionizing Customer Relationships through Chatbots
Mamie Peers, VP of Digital Marketing, The Cosmopolitan of Las Vegas

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Improving Customer Experience with AI and Virtual Assistant

By CIO Applications| Friday, November 30, 2018
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Enhancing customer experience is the golden rule for every business success story. The demand and expectation for personalized content is driving the market today. To cater to these needs manufacturers and business executives are employing extensively—deep learning, a sub-part of machine learning and artificial intelligence modeled after the human brain. 

Deep learning algorithms will process complex data and help create a model of information management. This model can be fed into machine learning systems to identify trends, patterns, and customer preferences immediately from the milieu of data gathered every second.

 

( Cio's Viewpoint: Using Mobile to Improve Customer Engagement )

Given that, today’s generations are almost constantly online, they are more prone and willing to interact with devices and interfaces. As Google and Amazon make a breakthrough with their artificially intelligent virtual assistant—Google Assistant and Alexa, the trend of digital assistance is becoming the norm of a personalized experience. In fact, the assistant technology using natural language processing (NLP) attracts the most customer fanfare with improved and friendlier user experience.

As more and more online platform and business integrates with these assistants, live streaming is becoming a convenient affair without essential human intervention. Therefore, numerous small and medium-sized businesses are incorporating text and voice chatbots within their online profiles to improve customer experience with a swift and appropriate reply without human support.

These advanced technologies are essential for businesses of all sizes to adopt so that they stay relevant in the market and receive the competitive edge over other opponents. “Customer is the king,” so whatever customers prefer has to become the daily norm of businesses to retain profits and significantly improve customer experience. 


You may like: Leveraging Artificial Intelligence to Generalize Validated Learnings in a Customer Centric Model
By Seyed Sajjadi, Data
Scientist , Electronic Arts

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Natural Language Processing

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