December 8 : MODULE 14:
As a Professional: We work with Information:
Verbal Presentation
Visual presentation:
TRELLO
For Module 14: EVERNOTE.com : Desktop / Cloud
Welcome to module 14 of COMP 6049
In this module we will be looking at:
Module FOURTEEN - Future Trends
“Tell me and I forget. Teach me and I remember. Involve me and I learn.”
― Benjamin Franklin
Introduction
Fanshawe College Logo
Welcome to module 14 of COMP 6049
In this module we will be looking at:
Please Note: Tasks should be completed in the recommended order listed below
Main Discussion
Technology has evolved at a rapid pace.
Today, devices that we can hold in one hand are more powerful than the computers used to land a man on the moon.
The Internet has made the entire world accessible to us, allowing us to communicate and collaborate with each other like never before.
Several sectors of technologies stand out as being the most influential as business moves into the future.
Web 2.0 Characteristics:
Ubiquitous, pervasive INTERNET CONNECTIVITY: 5G
Ubiquitous, pervasive Computing Power and devices : / wearable, IOT
Human connectivity through Social Media
Personal: Ever since the advent of Web 2.0 and e-commerce, users of information systems have expected to be able to modify their experiences to meet their personal tastes.
meta: Virtual Reality Headsets
From custom backgrounds on computer desktops to unique ringtones on mobile phones, makers of digital devices provide the ability to personalize how we use them.
More recently, companies such as Netflix have begun assisting their users with personalizations by making suggestions.
In the future, we will begin seeing devices perfectly matched to our personal preferences, based upon information collected about us in the past.
Mobile: Perhaps the most impact-full trend in digital technologies in the last decade has been the advent of mobile technologies. Beginning with the simple cellphone in the 1990's and evolving into the smartphones and tablets of today, the growth of mobile has been overwhelming.
Wearables have been around for a long time, with technologies such as hearing aids and, later, bluetooth earpieces. But now, we are seeing an explosion of new wearable technologies. Perhaps the best known of these is Google Glass, an augmented reality device that you wear over your eyes like a pair of eyeglasses. Visible only to you, Google Glass will project images into your field of vision based on your context and voice commands. Another class of wearables are those related to health care. The UP by Jawbone consists of a wristband and an app that tracks how you sleep, move, and eat, then helps you use that information to feel your best. 10 It can be used to track your sleep patterns, moods, eating patterns, and other aspects of daily life, and then report back to you via an app on your smartphone or tablet. As our population ages and technology continues to evolve, there will be a large increase in wearables like this.
Printable: One of the most amazing innovations to be developed recently is the 3-D printer. A 3-D printer allows you to print virtually any 3-D object based on a model of that object designed on a computer. 3-D printers work by creating layer upon layer of the model using malleable materials, such as different types of glass, metals, or even wax. 3-D printing is quite useful for prototyping the designs of products to determine their feasibility and marketability. 3-D printing has also been used to create working prosthetic legs, handguns, and even an ear that can hear beyond the range of normal hearing.
Find-able: The “Internet of Things” refers to the idea of physical objects being connected to the Internet. Advances in wireless technologies and sensors will allow physical objects to send and receive data about themselves.
Many of the technologies to enable this are already available – it is just a matter of integrating them together.
Tracking behavior. When products are embedded with sensors, companies can track the movements of these products {YOU are also a product ! Cell Phone Beacons} and even monitor interactions with them.
Business models can be fine-tuned to take advantage of this behavioral data: Biometrics, Facial and Eye Expressions.
Enhanced situational awareness.
Data from large numbers of sensors deployed, for example, in infrastructure (such as roads and buildings), or to report on environmental conditions (including soil moisture, ocean currents, or weather), can give decision makers a heightened awareness of real-time events.
Complex autonomous systems.
The most demanding use of the Internet of Things involves the rapid, real-time sensing of unpredictable conditions and instantaneous responses guided by automated systems.
This kind of machine decision-making mimics human reactions, though at vastly enhanced performance levels.
Note: How Artificial Intelligence and Machine Learning Works:
STATISTICS: A branch of Math that creates formulas to predicate OUTCOMES based on large series of data trend occurrences.
AI and ML are just statistical algorithms running on a MICROPROCESSOR. Purely deterministic based on the Formulas.
The automobile industry, for instance, is stepping up the development of systems that can detect imminent collisions and take evasive action. This is Not going in a happy direction currently.
General advances in computer technology have already enabled significant changes in the workplace.
Note: Collaborative work sharing tools.
Changes to the sociology of how we relate to each other at work. We have moved from Command and Control, Hierarchical Top Down => Flatened model in which bosses become facilitators and enablers rather than being Command Givers.
The combination of automation and robotics has already changed not only the workplace but everyday life as well.
It also comes with a host of ethical and legal issues, not least being where humans will fit in the workplace of tomorrow.
Managers of the future may ask, “Does my company or society benefit from having a human do a job rather than a robot, or is it all about efficiency and cost?”.
A McKinsey Global Institute study of eight hundred occupations in nearly fifty countries showed that more than 800 million jobs, or 20 percent of the global workforce, could be lost to robotics by the year 2030.
The effects could be even more pronounced in wealthy industrialized nations, such as the United States and Germany, where researchers expect that up to one-third of the workforce will be affected.
By 2030, the report estimates that 39 million to 73 million jobs may be eliminated in the United States. Given that the level of employment in the United States in mid-2018 is approaching 150 million workers, this potential loss of jobs represents roughly one-quarter to one-half of total current employment (but a smaller share of employment in 2030 because of future population and employment growth).
Which occupations will be most heavily affected?
Not surprisingly, the McKinsey report concludes that machine operators, factory workers, and food workers will be hit hardest, because robots can do their jobs more precisely and efficiently.
“It’s cheaper to buy a $35,000 robotic arm than it is to hire an employee who’s inefficiently making $15 an hour bagging French fries,” said a former McDonald’s CEO in another article about the consequences of robots in the labor market.
Video or Reading
Please review the following:
Forbes. (2018, December 8). 12 Technologies Your Office Needs Today To Step Into The Future. Retrieved from:
While watching please consider the following:
Activities
Create an Evernote Account.
Use this Evernote Note to organize and track your Information Assets that are putting together.
Please review and analyse this weeks case. In class, be prepared to review your findings in detail.
Additional Resources
Heller, L. (2018, June 7). 7 ways Walmart is Innovating with Technology. Retrieved from:
Checklist & Reminders
Please, don’t leave everything to the last minute.
Reminders
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