Last year, we had the benefit of leaning on the recent findings of our inaugural Cycle of Progress digital transformation benchmark study to inform my predictions. This global survey examines global business leaders' hopes and fears about emerging technologies, and reveals which technologies they are actively implementing to drive the digital transformation of their business--versus which ones are yet to live up to the hype. Based on our findings, I see several technologies continuing to lead the way in 2019, namely Internet of Things (IoT), Artificial Intelligence (AI) and blockchain. More than half (53%) of Cycle of Progress respondents say that they have adopted IoT in some shape or form so far. Already well established in many businesses, IoT applications and services are leading the pack in having the greatest positive impact.
The combination of artificial intelligence (AI) and blockchain is transforming various industries by implementing new applications. AI is driving computers by complex computational tasks with autonomy. The blockchain is enabling groups of computers to connect together resources to perform heavy computational tasks. The combination of these two technologies is able to eliminate shortcomings and transforms all the industries. Healthcare: AI and blockchain drive the healthcare platform by introducing various advanced technologies, and managing electronic medical and health records (EMR and EHR).
Artificial Intelligence has supplanted blockchain and cryptocurrency as the startup industry tech workers are most interested in joining, according to a new report from AngelList, a U.S.-based platform that connects startups with investors. Machine Learning & Artificial Intelligence was the top industry coveted in 2018 by the 8 million job seekers registered on the platform's job board, AngelList Talent, the company announced Thursday. "The amount of users searching for positions in AI was one of the biggest surprises of the year," says Amit Matani, AngelList Talent's CEO. "Another surprise was the decline of the Crypto Boom." Though excitement about blockchain and cryptocurrency skyrocketed in 2017 as it minted a number of overnight billionaires from their investments, "it's definitely died down significantly," Matani told Forbes.
ARTIFICIAL intelligence (AI) can bring additional economic output of around US$13 trillion by 2030, boosting global GDP by about 1.2 per cent a year, according to a recent McKinsey report. This net growth comes after taking in the costs of automation on the labour force, even as the consultancy flagged that workers must be ready for jobs to be transformed by technology. The potential behind AI comes as an estimated 70 per cent of global companies is due to adopt at least one form of such technology by 2030, said the McKinsey Global Institute report that was released in September. As a rough guide, this compares against the introduction of steam engines during the 1800s that lifted labour productivity by an estimated 0.3 per cent a year; the productivity gains from the use of robots during the 1990s at about 0.4 per cent, and the impact from the use of IT during the 2000s that raised productivity by an annual 0.6 per cent. The economic impact from using AI may emerge gradually and be visible only over time, with McKinsey expecting a S-curve adoption of AI - a pattern that suggests a slow start given the investment associated with learning and deploying the technology, and then an acceleration driven in part by competition.
Government shutdown or not, plaintiffs' lawyers haven't stopped filing new crypto lawsuits. This week we look at three new complaints, one involving lost crypto and a demand for a fork (the software kind), another that says that pre-sold mining hardware contracts were actually securities, and last but not least artificial intelligence on the blockchain (but not so much, it turns out). Disclaimer: These summaries are provided for educational purposes only by Nelson Rosario [twitter: @nelsonmrosario] and Stephen Palley [twitter: @stephendpalley]. They are not legal advice. These are our opinions only, aren't authorized by any past, present or future client or employer.
"In 2019, blockchain technology will continue advancing innovative applications across all industries to distribute and secure transactions of almost any kind," says Red Hat chief technologist Ian Hood. "Increasing amounts of our business and personal lives will be transacted electronically over public networks and clouds. We all want to be comfortable that our personal data (financial, health, and legal) records are kept safe and to ensure that any of these transactions may not be modified in flight. With that in mind, we have seen that no application trusts any network. Determined attackers can compromise any perimeter. End-end encryption mechanisms will evolve to secure delivery across networks with blockchain technology as a key element across multiple industries."
Today, there are few forms of financial fraud that are more prevalent – or more costly – than credit card fraud. It's difficult to establish an exact accounting of the losses incurred each year due to credit card fraud, but one report put the cost at $21.84 billion in 2015. Troublingly, it's a problem that seems to be getting worse, not better, at least in the United States. According to the Federal Trade Commission, reports of credit card fraud went up by 23% last year alone, with no signs of slowing down. It's increasing despite a steady advancement towards more secure cards and transaction methods, leading many of the world's largest merchants and credit card issuers to search for new solutions to the problem.
The first industrial revolution began in the 18th century with water and steam power, the second with electricity, and the beginning of the third with the internet, both happened in the 20th century. The past few decades we have been living in the third industrial revolution in technological development. You might be asking, when will the fourth industrial revolution begin? The answer is it already has. The World Economic Forum (WEF) concludes we have likely already entered the transition phase into a new era of economy, politics, and society.
The first wave of digital transformation was built upon leveraging cloud, mobile and big data, to create a platform for organisations to achieve greater operational efficiencies, better business insights, and deeper customer engagements. These efforts helped provide competitive advantages for organisations as they started to work smarter and more efficiently. The commitment to digital transformation is as strong as ever. According to IDC, global enterprises will spend $1.7 trillion on digital transformation in 2019. As manufacturers continue digital transformation journeys they are now looking to enter the transformation 2.0 phase, in which they will use new technologies to create even more opportunities and address new challenges on the factory floor.
Tech artist Jordan Wolfson is the author of a controversial simulation of virtual reality, explicitly titled Real Violence, in which the viewer, located in New York (United States), observes how the author strikes a man to death. Rachel Rossin manages to take the audience to a point diametrically opposite in Man Mask, a meditation exercise guiding us through the video game Call of Duty: Black Ops without appreciating the slightest sign of aggressiveness. Between the anguish generated by Wolfston's beating and the surrealist paradise of Rossin, there are many examples in which the fundamental innovations of the fourth industrial revolution are put at the service of cultural creation: blockchain, robotics, the internet of things, virtual reality and increased, etc. Alex Reyval became interested in photography in 2012 thanks to drones. Since then he has managed to reflect with his snapshots views that are just unthinkable without the assistance of these unmanned aerial devices. The renowned sculptor Anish Kapoor has come to reduce - virtually - the audience on a microscopic scale so that it can travel the human body.