Monthly Archives: October 2016

Tech Trends That Will Change How We Work Forever

Description: To you and me, the transformation seems gradual. Your business acquires more sophisticated tools, walls begin to disappear and fax machines vanish.

Source: Inc.com

Date:May 27. 2016
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First, your workforce trades in their pressed suits for business casual khakis, then jeans and, now, occasionally even shorts. On any given workday, only about two-thirds of your team is working in the office. The change is steady, like most sustainable paradigm shifts.

But imagine for a moment plucking your grandfather out of his mid-century office and dropping him in the middle of an ultramodern workspace. Would he even know he was at work? Would he recognize anything? Or would he spend hours searching for his Rolodex, typewriter and carbon paper?  read rest of story

Questions:
1.  What do you feel are the two most important trends?  Why?

2.  How do theses trends relate to the income statement paradigm that was discussed in class?

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BIG DATA

Description: Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.

Source: http://www.explainingcomputers.com

Due to the issues raised by its volume, velocity and variety, Big Data requires new technology solutions. Currently leading the field is an open-source project from Apache called Hadoop. This is developing a software library for reliable, scalable, distributed computing systems capable of handling the Big Data deluge, and provides the first viable platform for Big Data analytics. Hadoop is already used by most Big Data pioneers. For example, LinkedIn currently uses Hadoop to generate over 100 billion personalized recommendations every week.

What Hadoop does is to distribute the storage and processing of large data sets across groups or “clusters” of server computers using a simple programming model. The number of servers in a cluster can also be scaled easily as requirements dictate, from maybe 50 machines to perhaps 2000 or more. Whereas traditional large-scale computing solutions rely on expensive server hardware with a high fault tolerance, Hadoop detects and compensates for hardware failures or other system problems at the application level. This allows a high level of service continuity to be delivered from clusters of individual server computers, each of which may be prone to failure. Processing vast quantities of data across large, lower-cost distributed computing infrastructures therefore becomes a viable proposition.     READ REST OF STORY 

Questions for discussion:

  1.  What is Big Data and why is it important?
  2. What potential applications do you see for Big Data and in what industries will this add the greatest value?

The Algorithm for Bras

Source: NYTimes.com

Date: Feb 23, 2013

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Professional bra fitters have also moved online. Linda Becker, whose family owns two bra stores in New York, says she sells twice as many bras online today at LindaTheBraLady.com as she does in her stores. Some of her online customers have previously visited one of her shops and been fitted in person. But new customers take their own measurements and work with customer service representatives on the phone. She says only 10 percent of online orders are returned.  But some customers turn out to be extremely hard to fit and it’s hard to tell why, Ms. Becker says. “That kind of customer will be impossible to fit online because the problem is unseen. There’s no way of figuring it out over the phone.”  Read Rest of Story 

Definition of algorithm: a step-by-step procedure for solving a problem or accomplishing some end especially by a computer.

 Questions for discussion:

  1. What applications of this particular kind of algorithm do you think would be valuable in the marketplace?
  2. Will this e-commerce application replace brick and mortar stores for this application?  Why or why not?

Uber Explained Fully

Description: Uber and black cars and taxis, oh my! The latest video in our Mashable Explains series takes a look at how Uber works for both employer and consumer.

Source: Mashable.com

Date: Oct 9, 2014

Questions for discussion:

1.  Describe Uber?
2.  Would you use Uber? Why?
3.  Is Uber an example of dis-intermediation? explain