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Macy's tests artificial intelligence tool to improve service

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Macy's tests artificial intelligence tool to improve service

Daily Mail - Science & tech

Macy's has revealed it has developed an AI app with IBM's Watson to guide shoppers around its stores. It allows customers to get answers customized to the store they're in like where a particular brand is located or what's in stock - that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a'mobile companion,' can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. Macy's has revealed it has developed an AI app with IBM's Watson to guide shoppers around its stores. It allows customers to get answers customized to the store they're in .


Macy's tests artificial intelligence tool to improve service

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Macy's tests artificial intelligence tool to improve service

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Macy's test artificial intelligence tool to improve service - The Tropixs

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in โ€“ like where a particular brand is located or what's in stock โ€“ that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson โ€“ the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Can artificial intelligence help you find an outfit? Macy's is giving it a try.

#artificialintelligence

Artificial intelligence has been widely hyped for its potential to transform a broad swath of industries, from cybersecurity to medicine. Now, we might start to get a clearer picture for how it could be used to change the way we shop. Macy's announced on Wednesday that it has teamed up with IBM Watson to use artificial intelligence as a customer service tool in 10 of its stores. The retailer dubbed the pilot program "Macy's On Call," and it will allow customers to type in questions on their phones and receive answers. Unlike some chatbots that can only regurgitate pre-programmed responses based on keywords, IBM Watson will learn over time to give better answers that are customized to individual stores.


Macy's tests artificial intelligence tool to improve service

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in--like where a particular brand is located or what's in stock--that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson--the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Macy's tests artificial intelligence tool to improve service

#artificialintelligence

Macy's is testing a mobile tool using artificial intelligence that lets shoppers get answers customized to the store they're in -- like where a particular brand is located or what's in stock -- that they would normally ask a sales associate face-to-face. The tool, which the nation's largest department store chain calls a "mobile companion," can be accessed for now through a browser and will accept questions in 10 U.S. locations about products, services and facilities. It uses natural language and offers feedback in seconds. It's developed by IBM Watson -- the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers. That's a key element as Macy's seeks to spur sluggish sales, make being at the store more enjoyable and distinguish itself from online portals and specialty retailers.


Who Is Your New Marketing Target? Machines!

#artificialintelligence

The Internet of Things together with changes in consumer-buying habits are set to have profound consequences for marketers. Connected devices are growing at an astonishing rate. Cisco's latest Visual Networking Index has predicted that, by 2020, there will be 26 billion connected devices across the globe, up from 16 billion connections in 2015. This is a trend that will revolutionise many aspects of life--not least, commerce. At Salmon we've termed this new era of retail "Programmatic Commerce" and believe it to be one of the most significant trends on the horizon for marketers in the digital age.


A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II): Hands-on Big Data and Machine ... Programming Interview Questions) (Volume 7): Dr Antonio Gulli: 9781518678646: Amazon.com: Books

@machinelearnbot

Myself as an interviewer, I would ask questions from this book. The Python examples are good and the code compact which shows great deal of effort. You will need to do your own Googling and research beyond the answers provided, but this book covers the field in sufficient breadth to give you confidence you will do well on an interview.