Phil Renaud, executive director for The Risk Institute at Ohio State University, joined Peggy Smedley to talk about the epidemic that is plaguing this country: distracted driving. He talked about what needs to be done and the behavioral change that is necessary when it comes to cellphones and driving. They discuss the root cause of distracted driving today and what is coming in the month ahead.
While the IoT (Internet of Things) offers great potential, it also demands that companies make a greater commitment to security to fend off cyber criminals even if that means focusing more attention on advancements in computing power. Connected devices and the IoT offers such immense potential, but they’re not inherently good, just like they’re not inherently bad.
Perhaps the most impressive “computer” on Earth is the human brain, the complex organ that is more or less responsible for making a human a human. While comprising just a small percentage of a human’s mass, the brain controls and/or enables our movements, senses, emotions, and memories, and it makes rational thought possible. What if computers had the processing power of a human brain? What could be accomplished with a computer chip that operated more like the incredible organ that powers a human being?
The future of computing may be quantum, but that future is far away, despite relatively fast-paced progress in this arena. Quantum computers could potentially outperform today’s supercomputers by leaps and bounds, solving complex problems in seconds that would take classical computers years to solve, if they could solve them at all.
Impaired driving is considered one of the most serious types of distracted driving, and in this column, I am going to address technology’s role in curbing drugged driving. Yet, despite the facts and figures, I’m still bewildered by how many people do not believe that drug impairment will lead to distracted driving.
For this column, let’s delve into what’s been happening with connected technology and talk about some updates on road safety, distracted driving, and how autonomous vehicles fit into this equation.
One of the promises of self-driving vehicles is that they will ultimately improve road safety by removing the human element from most driving-related decisions and replacing it with decisions arrived at by the vehicle itself. These decisions are made based on data gathered from a vehicle’s onboard sensors and then processed and analyzed in less time than it takes to blink an eye. In light of recent events in Arizona, in which a pedestrian was struck and killed by an autonomous vehicle operated by Uber, www.uber.com, the industry is left in the lurch. While the Uber investigation is still underway and early reports suggest Uber’s technology is not at fault, a fatality looks more than bad on autonomous vehicles’ record.
Last month I took a very close look at fog, edge, and cloud computing. It’s been really interesting to speak with various experts in industry and academia about the various trends that are converging right now to make fog or edge computing more viable for industries.
There are several factors driving IoT (Internet of Things) adoption in the enterprise sector, including the opportunity for revenue growth, the desire to remain competitive in a connected world, and the need to comply with government regulations, among others. Verizon’s, www.verizon.com, latest state of the IoT market report suggests 73% of executives are currently deploying IoT or actively researching it. However, hurdles such as security, cost, standards, and interoperability remain for more than 50% of executives who are interested in the IoT.
A new study points to the fact that Moore’s Law continues to apply for cloud compute and that companies are breaking the traditional three-year data center hardware renewal cycle, instead moving to a 12-month cycle in the cloud.
I have spent a lot of space reviewing fog, edge, and cloud computing and now for the column I would like to consider one of my favorite vertical markets: manufacturing. Manufacturing is such a great indicator, at least in my opinion, of where we are now with the IoT (Internet of Things) and where we are headed.
During the 2018 Olympic Winter Games in PyeongChang, South Korea, the world's eyes were on the athletes as they achieved marvelous feats by pushing the boundaries of human abilities; behind the scenes, realtime analytics and the cloud played their part too. The gold medals may be awarded and the closing ceremonies may be through in PyeongChang, but a cloud-based analytics solution that debuted at the games will continue to be a part of the Olympic story looking ahead to the 2020 Olympic Summer Games in Tokyo, Japan. The analytics tool exemplifies the value cloud can play in analyzing realtime data for IoT (Internet of Things) solutions in healthcare and beyond.
This column has devoted a lot of ink to fog, edge, and cloud computing. I spent a considerable amount of time last week digging into the basics of fog and edge for those who still needed a better understanding of how these technologies are different.
Cloud computing has had a transformational impact on the software space, and it has helped the IoT (Internet of Things) accelerate to where it is today. In the past decade or so, the cloud-computing ecosystem has grown tremendously. According to KPMG's, www.kpmg.com, Journey to the Cloud report, the public cloud-computing ecosystem has become more than a $100 billion market, with the private cloud ecosystem representing another $50 billion market.
It’s time to take a deeper dive into the future of the cloud versus fog computing and how 5G is going to play a significant role. Last month I opened my column discussing cloud versus edge computing. I even explained how fog entered into the world debate after Cisco believed it needed something to help explain how its technology offered more depth than what was being delivered to date.