Description: The world’s largest retailers are planning to not only grow into the world’s biggest logistics companies, but to completely revolutionize the industry.
Date: May 31. 2016
Both Amazon and Alibaba have recently made significant investments to their supply chain capabilities and in the not distant future they will soon handle more shipments than most specialist delivery postal and courier companies.
In effect, these companies are building their own streamlined delivery systems that may replace the more established specialists.
Earlier this month, Amazon signed a new deal to lease more cargo jets, in effect doubling the size of its fleet. This is partly a response to increasing demand (shifted 27% more units in last quarter) but also a part of a grander plan.
The aimfor these internet giants is nothing less than the obliteration of all alternative forms of retail. When it comes to sales, Wal-Mart dwarfs Amazon by a factor of four. Jeff Bezos, Amazon CEO, plan is to undermine these lead by competing for consumer attention in ways that Wal-Mart can never match. That is, by offering a nearly infinite menu of goods, same-day delivery and liberating from the tiresome trip to the busy out-of-town store. read rest of story
1. How do Amazon and Alibaba plan to revolutionize the logistics industry?
2. Do you feel these companies will be successful in this strategy? Why or Why not?
Description: Walmart, the country’s largest retailer, is testing the use of flying drones to handle inventory at its large warehouses, which supply the thousands of Walmart stores throughout the nation.
Date: June 2. 2016
While a Walmart employee may handle the drone, the technology could “potentially” mean fewer workers would be needed to take stock or replace missing items, Lorenzo Lopez, a spokesman, said. Mr. Lopez emphasized that those workers could be deployed in other areas of the warehouse.
The test is occurring as Walmart is under intense pressure to grow amid an onslaught of low-cost competition, particularly from Amazon, the online shopping giant. Walmart has committed to spending $2.7 billion on labor, technology and other investments, including improving its website and e-commerce business. Last quarter, Walmart beat expectations with $115.9 billion in revenue, but even Doug McMillon, its president and chief executive, acknowledged that the 7 percent growth of Walmart’s e-commerce business was “too slow.” read rest of story
1. Is Walmart on the cutting edge of logistics management with the use of drones? Why or Why not??
2. Why would Walmart want to implement this new strategy?
Description: According to Google, a media outlet that has old content is akin to selling out-of-date food at a grocery store. It’s a big no-no and, if caught perpetrating this type of content, it will be punished by receiving a significant drop in search engine visibility – and rightly so.
Date: May 31. 2016
While we know Google has been a naysayer about old content for some time and raised the bar on what defines good content by going after content farms, companies with static websites, and even big brands like eBay, this move to strike out at some of the biggest publishing brands in the industry, including Apple, The Washington Post, Time and The New York Times, tells us Google is at it again by making major changes to its algorithm. Some of the bigger hits included a nearly 80% drop in SEO visibility for TheAtlantic.com and a 65% reduction in mobile visibility for Wired.com. read rest of story
1. Why is the SEO feeling a need to evolve?
2. Should you manage your SEO within your organization or outsource it to an SEO firm? Why or Why not?
Description: Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.
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:
- What is Big Data and why is it important?
- What potential applications do you see for Big Data and in what industries will this add the greatest value?
Description: The new era in Silicon Valley centers on artificial intelligence and robots, a transformation that many believe will have a payoff
Date: July 18. 2016
The new era in Silicon Valley centers on artificial intelligence and robots, a transformation that many believe will have a payoff on the scale of the personal computing industry or the commercial internet, two previous generations that spread computing globally. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered in the world.
The shift was evident in a Lowe’s home improvement store here this month, when a prototype inventory checker developed by Bossa Nova Robotics silently glided through the aisles using computer vision to automatically perform a task that humans have done manually for centuries. read rest of story
1. Do you feel AI development is set to make great strides and commercial return with implementation in everyday live ? Why? or Why not?
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.
Date: Feb 13, 2017
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.
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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?
Description: People have made fortunes selling cars and trucks. For many of us, a car is the second most expensive thing we’ll ever buy. But experts say the value of vehicles will likely pale in comparison to the riches from our cars’ data.
Date: Feb 7, 2017
“Data is the currency of the digital age,” said Jim Barbaresso, who leads Intelligent Transportation Systems at HTNB. “Vehicle data could be the beginning of a modern day gold rush.”The gold rush analogy is a common one, made by everyone from Barbaresso to the CEO of Daimler. Here’s why there’s so much potential:
Cars increasingly have sensors and cameras to track their performance and their surroundings. Vehicle sensors, for example, can better tell when an engine part is in need of replacement. A back-up camera doesn’t just help us park, it can tell how many pedestrians or vehicles are on a block.
These sensors generate data, which can be analyzed to make money. (If you doubt the way data can be turned into money, just look at the success of Google (GOOG) and Facebook (FB, Tech30). They offer free services to billions, and make a fortune off the data they collect.)
READ REST OF STORY
Questions for discussion:
1. Why will car data be worth as or more than the actual self-driving car?
2. Who should benefit or accrue the benefits of the data that your car collects? Explain