The Internet of Things (IoT) is a network of physical objects, such as smart appliances, car navigators, drones, etc. that can communicate, interact and exchange data over the internet. One of the earliest examples of the IoT was a connected Coca Cola machine on the Carnegie Mellon University campus in the early 1980s. Local programmers were able to connect to the machine by the internet to see if a cold drink was available before making the trip
The data center landscape is undergoing radical changes. To compete in this rapidly evolving digital economy, organizations are moving workloads to the cloud, tapping into ecosystems of partners and leveraging artificial intelligence (AI) to deliver faster and better digital experiences. These trends are reshaping the underlying infrastructure. No longer centralized, data centers are rapidly becoming distributed and intelligent to manage these increasingly complex workloads.
Data center efficiency is about optimizing the physical world equipment to match the digital demand with the highest degree of accuracy possible. That means having the right number of servers, power, cooling needed to support demand in that location at that time. Predicting that demand across a distributed infrastructure will be far more challenging as the number of variables that impact it increase.
Artificial intelligence (AI) has been around since the 1950s, but it has recently grown into a real force in the digital transformation of businesses and our personal lives. From digital twins that create “living” digital simulation models of physical things (e.g., avatars for airplanes, cars, etc.) to voice recognition applications in smartphones and home assistants, machines are busy learning all there is to know about us and our world.
And as business and technology leaders move closer to another year of high stakes digital transformations and the big IT decisions that power them, we’re taking a closer look at the technologies that will make the biggest digital business impact in 2019.
Robotics is not only a research field within AI and machine learning (ML), but it is a field of application, one where all areas of artificial intelligence can be tested and integrated to reach a final result. AI brings intelligent behavior to robots so they can provide services to humans in unpredictable and changing environments, which could mean in your home, a hospital, your work place or anywhere around you.
Much has been written about the impact of technology on insurance, this most traditional of industries. Artificial intelligence (AI), connected cars, drones and the Internet of Things (IoT) are all becoming integral to the insurance and automotive industries.
Healthcare has been around in some form or other for millennia, while artificial Intelligence (AI) has only a few decades of history behind it. Still, that’s long enough for Al to begin transforming this ancient industry, and its influence is only accelerating in the digital age.
AI, VR/AR and IoT all have something else in common besides their recently accelerated development– they all have the same set of dependencies: Each requires relatively sophisticated devices, excellent network connectivity and robust cloud infrastructures. And none of it works as well as it should without interconnection.
At the World Economic Forum (WEF) in Davos a few weeks ago, UK Prime Minster, Theresa May delivered a confident speech on the advancement of technology innovation and its potential to boost the UK economy. The Prime Minister began her speech by highlighting that “harnessing the power of technology is not just in all our interest, but it’s fundamental to the advancement of humanity.” This statement demonstrated her intent to ensure that technology will be a critical element of UK economic growth and her lofty ambitions for the UK to be a global leader in the field of Artificial Intelligence (AI).