How New Technology Can Help People in Today’s World
How new technology can help people is a question frequently asked online, by consumers, researchers, futurists, and business leaders. The answer varies, but one thing is clear: The pace of technological change is accelerating at an incredible rate. In fact, the pace of change is so fast that it is moving faster than our ability to understand and adapt.
To better understand how new technology can help people in the workforce today, we must begin to understand the nature of technology. Some types of technology trends will be slow to evolve while others will be extremely fast. Examples of trends that are relatively slow to evolve to include new medical equipment, cars, office automation, clothing, household appliances, telecommunications systems, and new applications for computers. Examples of technology trends that are fast and advancing rapidly include self-learning robots, artificial intelligence, and internet technologies.
One example of a rapidly evolving trend is an artificial intelligence or AI. If you haven’t heard of artificial intelligence, you may want to take a moment to consider how your computer worked during the last five years. Today, A.I. is used in everything from cars and planes to webcams and virtual reality entertainment systems.
The other important trend on the horizon is robotics research and development. Researchers and developers have been working for decades to develop robotic machines that can do simple and difficult tasks. In the short term, the most likely uses for A.I. robots and artificially intelligent robots are domestic chores, machine tending, transportation, security, and even more complicated robotic applications such as full-body surgery.
Finally, the fifth most widely anticipated trend of the coming decade is machine learning or AI. What does this mean? Basically, machine learning is the process of collecting, deciphering, and then acting upon data provided by sensors and actuators. It can also refer to a variety of technologies such as genetic programming, computer vision, pattern recognition, and image processing.
For example, how much easier will it be for warehouse workers to provide coordinated and automated services? Much more efficient will medical professionals be able to treat their patients with increased accuracy and lower cost?