Category Archives: Big Data

This Company Is Bringing High-Resolution Data Analytics To Farms

Description: The past few years have seen big data impact a number of industries—from supply chains to manufacturers to transpiration—by being able to see how changes in even the smallest part of a system can manifest big impacts.

Source: Forbes.com

Date: Sept 30. 2018

Historically, when farmers and agricultural consultants have tried to figure out how a fertilizer or other treatment impacts crops, they would basically treat two strips in the same field differently, with the strips covering multiple acres of farmland. The results were then averaged out over the two areas. But by taking advantage of sensors and other in-field technology, the AgVeritas software is able to see how the treatment impacts particular parts of a field to about a 60-by-60-foot area.

“The unique thing with AgVeritas is that you can see a variability of response across a field,” said Chad Godsey, an agricultural consultant in Colorado. read rest of story

 

Questions:
1.  What is the business model of this technology?

2. What other uses of this technology do you foresee?

Advertisements

How UPS delivers faster using $8 headphones and code that decides when dirty trucks get cleaned

Description:  Inside EDGE: the shipping giant’s ambitious, tech-driven bid to keep Amazon and others at bay.

Source: MIT Technology Review

Date: Feb 16. 2018

UPS workers make dozens of decisions every day, and the wrong ones—from placing a box on the wrong conveyor belt inside a processing facility to loading it onto the incorrect delivery vehicle—could keep you from getting your packages on time.

Avoiding those mistakes, and doing so efficiently, is key to the company’s survival. The boom in e-commerce means UPS now delivers as many as 31 million packages a day. Keeping track of all that is an immensely difficult problem. It’s made worse because fulfilling online orders often requires driving to far-flung residences. That is more expensive for UPS than delivering to businesses, where drivers typically can leave and pick up multiple packages at each stop. read rest of story

Questions:
1.  What are the two biggest threats to UPS going forward?

2. What are the two biggest opportunities for UPS going forward?

9 ways to get more value from business intelligence in 2018

Description:  Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies

Source: cio.com

Date: Feb 14, 2018

For far too many organizations, “business intelligence” brings to mind simple statistical summaries in stodgy, dated reports. But beneath BI’s dull surface, keen insights await — especially for those willing to revamp their business intelligence strategy to tackle the kinds of issues forward-thinking organizations are already addressing with modern BI.

Whether you are looking to implement a new BI tool or get more value out of your current BI setup, you will find some promising ideas here, as we recount how companies are using BI to improve customer service, employee productivity, revenue growth, and more.  READ REST OF STORY

 Questions for discussion:

1. What three suggestions for getting more value from BI do you consider most important to implement ?  Why ?

 

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

How Do Companies Learn Your Secrets

Description: Andrew Pole had just started working as a statistician for Target in 2002, when two colleagues from the marketing department stopped by his desk to ask an odd question: “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”

Source: NYTimes.com

Date: Feb 6, 2012

target_marketing

The desire to collect information on customers is not new for Target or any other large retailer, of course. For decades, Target has collected vast amounts of data on every person who regularly walks into one of its stores. Whenever possible, Target assigns each shopper a unique code — known internally as the Guest ID number — that keeps tabs on everything they buy. “If you use a credit card or a coupon, or fill out a survey, or mail in a refund, or call the customer help line, or open an e-mail we’ve sent you or visit our Web site, we’ll record it and link it to your Guest ID,” Pole said. “We want to know everything we can.”

Also linked to your Guest ID is demographic information like your age, whether you are married and have kids, which part of town you live in, how long it takes you to drive to the store, your estimated salary, whether you’ve moved recently, what credit cards you carry in your wallet and what Web sites you visit. Target can buy data about your ethnicity, job history, the magazines you read, if you’ve ever declared bankruptcy or got divorced, the year you bought (or lost) your house, where you went to college, what kinds of topics you talk about online, whether you prefer certain brands of coffee, paper towels, cereal or applesauce, your political leanings, reading habits, charitable giving and the number of cars you own.    READ REST OF STORY

 Questions for discussion:

1. Reflecting on this article, does ther ever come a time when you feel there is too much data out in the public sphere about you?  Why or Why not?

2.  What are some applications of this BIG DATA technology that you would find exciting as a manager of a business?

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

How to Protect Your Privacy as More Apps Harvest Your Data

Description: In the real world, your personal life is a private space. But in tech, your personal data is a ripe resource for businesses to harvest in their own interests.

Source: nytimes.com

Date:May 1. 2017

When it comes to data collection, services like Unroll.me and Uber are small fry compared with internet giants like Google and Facebook, which have a wealth of information about people. And then there are large data brokers like Acxiom, CoreLogic, Datalogix and ID Analytics, which collect, analyze and sell billions of details about consumers’ online activities for marketing purposes.

For consumers, giving up some data has become part of the trade-off of receiving compelling, personalized services. But that doesn’t mean you have to be caught by surprise. Here are some tips from privacy experts on protecting yourself from tricky data collection.  read rest of story

Questions:
1.  Should we, as consumers have to give up personalized information to use a digital service?  Why or why not?

2.  How does one make sure that their personal data is being protected and is secure?