A new method to assess the quality of organs for donation is set to revolutionise the transplant system – and it could help save lives and tens of millions of pounds. The National Institute for Health and Care Research (NIHR) is contributing more than £1 million in funding to develop the new technology, which is known as Organ Quality Assessment (OrQA). It works in the same way as Artificial Intelligence-based facial recognition to evaluate the quality of an organ. It is estimated the technology could result in up to 200 more patients receiving kidney transplants and 100 more receiving liver transplants a year in the UK. Colin Wilson, transplant surgeon at Newcastle upon Tyne Hospitals NHS Foundation Trust and co-lead of the project, said: "Transplantation is the best treatment for patients with organ failure, but unfortunately some organs can't be used due to concerns they won't function properly once transplanted. "The software we have developed'scores' the quality of the organ and aims to support surgeons to assess if the organ is healthy enough to be transplanted.

It has been over 15 years since the phrase "data is the new oil" appeared on the radar of enterprise CIOs. Since then, enterprise data stacks have evolved to support complex business intelligence tasks. Recently, in December 2022, we witnessed yet another tectonic shift thanks to ChatGPT by Open AI. As we synthesize the opportunities due to these shifts, it is clear that machine learning (ML) and artificial intelligence (AI) have exponentially transformed data stacks of enterprise IT and OT while providing new tools for digital transformation. Simultaneously, we have witnessed IT architectures maturing and adopting edge technologies, leading to bold proclamations that the "edge is eating the world!"

Artificial intelligence applications have advanced significantly in recent years all across the world. Cloud computing has become an important aspect of AI progress as business activities at work have grown. Furthermore, as consumers use their devices more frequently, companies are becoming more conscious of the need to integrate technology into those devices in order to be closer to customers and better satisfy their requirements. As a result, the Edge Computing industry will expand in the future years. Edge AI is a hybrid of edge computing and artificial intelligence.

Artificial Intelligence 2021 and Machine Learning are the most common and most used technical terms in the 21st century. Now Artificial Intelligence has started occupying the world stage with smart functionalities. There would be no doubt that Artificial Intelligence can transform the productivity and workflow of multiple industries across the world. There is also a major and constant concern which is related to human job opportunities in the upcoming years. Organizations are realizing the need for Artificial Intelligence to collaborate with human employees and ample job opportunities that are coming up. The cutting edge technology is giving a competitive edge to the organizations in the cut-throat competitive market which is tech-driven.

Self-driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector. Deep Learning jobs command some of the highest salaries in the development world. This is the first, and only course which makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.

Almost three-quarters (72%) of IT leaders are already using edge computing to provide innovative services, according to Intel. From ultra-connected autonomous cars to low-latency AR, VR and gaming: to remain competitive in the digital age, businesses will have little choice but to fully embrace the new opportunities that come with the deployment of edge computing, according to a new report published by Intel. Almost three-quarters (72%) of IT leaders are already using edge computing to provide innovative services, according to the chip giant, whether that is to create new products, open new revenue streams or boost efficiencies. "Businesses can no longer afford to ignore the edge," says the report, stressing the technology's potential to better access and understand the unprecedented amounts of data that are generated over networks every second. As the name suggests, edge technologies consist of moving the hosting of computer services to the edge of the network, so that the process happens as close as possible to the people that use the service, which significantly reduces latency.

The onset of a new wave of innovation and technology can induce a mix of reactions amongst C-level decision-makers in any business. For every CEO, CIO, or CFO who chases the latest technological'shiny thing' and plans to implement meaningful change within their organization, there are countless others who would prefer to take little or no action regarding new technological advances. Don Schuerman is CTO and Vice President of Product Marketing at Pegasystems. Here's the thing – as much as some senior leaders might prefer to stick their heads in the sand, new technology trends are like seasons of the year; they are inevitable. In fact, the biggest risk far too many organizations run is that by either implementing innovations half-heartedly or ignoring them completely, they can lose ground to more progressive competitors who are harnessing new technologies to differentiate themselves and gain a competitive advantage. The key to avoiding this is to emphasize accountability.

Can you help us know about your professional background? I completed my engineering from BITS Pilani in 2012. Immediately after that I joined Opera Solutions as a Data Scientist. During my stint at Opera Solutions I met my co-founders Angam and Ankit, and decided to explore entrepreneurship. We started by building a news recommendation engine in early 2014.

The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the increasing demands on this critical infrastructure, there is a need for intelligent methods to cope with the existing obstacles in this area. In this regard, edge computing technology can reduce latency and energy consumption by moving processes closer to the data sources in comparison to the traditional centralized cloud and IoT-based healthcare systems. In addition, by bringing automated insights into the smart healthcare systems, artificial intelligence (AI) provides the possibility of detecting and predicting high-risk diseases in advance, decreasing medical costs for patients, and offering efficient treatments. The objective of this article is to highlight the benefits of the adoption of edge intelligent technology, along with AI in smart healthcare systems. Moreover, a novel smart healthcare model is proposed to boost the utilization of AI and edge technology in smart healthcare systems. Additionally, the paper discusses issues and research directions arising when integrating these different technologies together.

Edge computing promises to advance human progress and change our world for the better. I believe it can help organizations across the globe protect the environment, improve healthcare, facilitate smart cities, reduce energy costs, and enable new technologies and services. According to Gartner, by the year 2025, 75% of data is expected to be processed at the edge. This transformation will drive a host of new business opportunities with IDC predicting that the Edge computing market will reach $250.6 billion by 2024. The rationale for this shift is clear.