Category Archives: algorithm

Hoteliers Scan the Ranks of IT Workers to Gain an Edge

Description:The front desk manager or housekeeper may epitomize the hotel employee, but the hospitality industry is increasingly dependent on tech workers, vacuuming data scientists, web designers and other experts into its ranks.

Source: NYTIMES.com

Date: Feb 13, 2017

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While many college students majoring in science, technology, engineering and math are attracted to the household-name tech companies in Seattle and Silicon Valley, Mr. Leidinger says he tells them, “If you’re really into technology, there’s a revolution happening in hospitality,” and as part of a smaller team, “you can drive, innovate and take ownership.”

One project for Hilton tech employees is keyless entry, which allows guests to use their phones instead of plastic key cards to unlock room doors. Of Hilton’s 4,800 hotels, 750 now offer keyless entry, and the company hopes to install the service in 2,500 hotels by the end of this year.

There are also technical job openings at the hotel level, where employees at individual properties manage social media, on-site Wi-Fi and the integration of systems like retail, parking and food sales.

 READ REST OF STORY

 Questions for discussion:

1.While hotel chains say that automating processes like check-in frees their employees to interact in other ways with guests, the use of technology also allows the hotel to hire fewer people.  Do you feel this is a positive thing?  Why or Why not?

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Masters of the Universe Are Threatened As Goldman Embraces Automation

Description:   At its height back in 2000, the U.S. cash equities trading desk at Goldman Sachs’s New York headquarters employed 600 traders, buying and selling stock on the orders of the investment bank’s large clients. Today there are just two equity traders left.

Source: MIT Technology Review

Date: Feb 7, 2017

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The experience of its New York traders is just one early example of a transformation of Goldman Sachs, and increasingly other Wall Street firms, that began with the rise in computerized trading, but has accelerated over the past five years, moving into more fields of finance that humans once dominated. Chavez, who will become chief financial officer in April, says areas of trading like currencies and even parts of business lines like investment banking are moving in the same automated direction that equities have already traveled.

Today, nearly 45 percent of trading is done electronically, according to Coalition, a U.K. firm that tracks the industry. In addition to back-office clerical workers, on Wall Street machines are replacing a lot of highly paid people, too.   READ REST OF STORY

 Questions for discussion:

1. Do you feel that that Computerized trading and AI will make the financial industry almost a employee less industry ?  Why or Why not?

2.  Do you feel that Government industries are susceptible to this sort of computerization and AI to reduces Public service employees in Canada by a significant amount?   explain

Even the Masters of the Universe Are Threatened As Goldman Embraces Automation

Description:   At its height back in 2000, the U.S. cash equities trading desk at Goldman Sachs’s New York headquarters employed 600 traders, buying and selling stock on the orders of the investment bank’s large clients. Today there are just two equity traders left.

Source: MIT Technology Review

Date: Feb 7, 2017

london-traders-reuters-neil-hall-300x192

The experience of its New York traders is just one early example of a transformation of Goldman Sachs, and increasingly other Wall Street firms, that began with the rise in computerized trading, but has accelerated over the past five years, moving into more fields of finance that humans once dominated. Chavez, who will become chief financial officer in April, says areas of trading like currencies and even parts of business lines like investment banking are moving in the same automated direction that equities have already traveled.

Today, nearly 45 percent of trading is done electronically, according to Coalition, a U.K. firm that tracks the industry. In addition to back-office clerical workers, on Wall Street machines are replacing a lot of highly paid people, too.   READ REST OF STORY

 Questions for discussion:

1. Do you feel that that Computerized trading and AI will make the financial industry almost a employee less industry ?  Why or Why not?

2.  Do you feel that Government industries are susceptible to this sort of computerization and AI to reduces Public service employees in Canada by a significant amount?   explain

As Goldman Embraces Automation, Even the Masters of the Universe Are Threatened

Description:   At its height back in 2000, the U.S. cash equities trading desk at Goldman Sachs’s New York headquarters employed 600 traders, buying and selling stock on the orders of the investment bank’s large clients. Today there are just two equity traders left.

Source: MIT Technology Review

Date: Feb 7, 2017

london-traders-reuters-neil-hall-300x192

The experience of its New York traders is just one early example of a transformation of Goldman Sachs, and increasingly other Wall Street firms, that began with the rise in computerized trading, but has accelerated over the past five years, moving into more fields of finance that humans once dominated. Chavez, who will become chief financial officer in April, says areas of trading like currencies and even parts of business lines like investment banking are moving in the same automated direction that equities have already traveled.

Today, nearly 45 percent of trading is done electronically, according to Coalition, a U.K. firm that tracks the industry. In addition to back-office clerical workers, on Wall Street machines are replacing a lot of highly paid people, too.   READ REST OF STORY

 Questions for discussion:

1. Do you feel that that Computerized trading and AI will make the financial industry almost a employee less industry ?  Why or Why not?

2.  Do you feel that Government industries are susceptible to this sort of computerization and AI to reduces Public service employees in Canada by a significant amount?   explain

The Cloud-Centric Retailer Treats Every Shopper Like A Celebrity

Description:  Imagine walking into a shopping mall on a mission to buy something very specific — the right tie for a job interview, the perfect handbag for a wedding — and knowing immediately where to look. Instead of endless hours wandering from store to store, combing the aisles for the right purchase, you know immediately which shops have exactly what you’re looking for and which has the best price.

Source:  Forbes.com

Date:  Dec 15, 2015

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Products are becoming to become intelligent, too, as more items and packaging start to come with low-energy Bluetooth tags that will guide smartphone-equipped shoppers to the exact location of the item they’re looking for. Combine that with customers logging in to good-old fashioned Wi-Fi networks and the retail environment becomes a rich mine of data for retailers who choose to build the supporting infrastructure to capture, analyse and interact with it.  Read the Rest of the Story

Questions:

1.  What is the promise of Cloud Computing for the Retail Industry?

2.. What do you see as the two biggest benefits of cloud computing in the retail industry ?  Why?

Algorithms Need Managers, Too

Description:   Algorithms make predictions more accurate—but they also create risks of their own, especially if we do not understand them.

Source: HBR.org

Date:  Jan 1, 2016

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High-profile examples abound. When Netflix ran a million-dollar competition to develop an algorithm that could identify which movies a given user would like, teams of data scientists joined forces and produced a winner. But it was one that applied to DVDs—and as Netflix’s viewers transitioned to streaming movies, their preferences shifted in ways that didn’t match the algorithm’s predictions.

Another example comes from social media. Today many sites deploy algorithms to decide which ads and links to show users. When these algorithms focus too narrowly on maximizing user click-throughs, sites become choked with low-quality “click-bait.   Read the Rest of the Story

Questions:

1.  Discuss the pros and cons of ALGORITHMS in managing a business.

2.  List some examples of algorithm successes in business, education, or government.

 

 

Billion $ Bet by Disney on Technology to Track Theme-Park Visitors

Description: Jason McInerney and his wife, Melissa, recently tapped their lunch orders onto a touchscreen at the entrance to the Be Our Guest restaurant at Florida’s Walt Disney World Resort and were told to take any open seat. Moments later a food server appeared at their table with their croque-monsieur and carved turkey sandwiches. Asks McInerney, a once-a-year visitor to Disney theme parks: “How did they know where we were sitting?”

Source: businessweek.com

Date: March 7, 2014


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Change is always tricky for Disney, especially at its parks, where introducing a new brand of coffee can spark a revolt by fans. Unhappy mouseketeers last year began a petition drive to keep Disneyland in January from pulling the Billy Hill and the Hillbillies show after 21 years (it didn’t work). Others marched on the park’s City Hall in 2004 after recalibrations made to the Mad Tea Party ride in the name of safety slowed it down.

MyMagic+ promises far more radical change. It’s a sweeping reservation and ride planning system that allows for bookings months in advance on a website or smartphone app. Bracelets called MagicBands, which link electronically to an encrypted database of visitor information, serve as admission tickets, hotel keys, and credit or debit cards; a tap against a sensor pays for food or trinkets. The bands have radio frequency identification (RFID) chips—which critics derisively call spychips because of their ability to monitor people and things.  READ REST OF STORY 

Questions for discussion:

1.  Why is Disney investing in this RFID technology and why is it important?

2.  What potential applications do you see for RFID technology and in what industries will this add the greatest value?

3.  Comment on the statement “critics derisively call spychips because of their ability to monitor people and things.