Technologies like artificial intelligence (AI), machine learning (ML), and automation in all of its forms can augment human workers and enable them to pivot to more valuable work, and perform their jobs with more efficiency, safety, and ease. Yet there's justifiable concerns emerging regarding the potential of these technologies to displace human workers. Ronald van Loon is working in partnership with Protiviti, and was able to examine their recent study, Future of Work Top Risks Survey brief, which was conducted as a joint effort with NC State University, and lend his point of view as an industry analyst about the evolving dynamic between technology and the future of work. How we work changed dramatically over the course of the past year, leading to new remote and hybrid work models, changing workforce and employment trends, and ubiquitous technology adoption to accelerate the necessary transformation to sustain operations. Protiviti's findings indicate that the future of work is shaping up to be one of the most disruptive and definitive business challenges of the next decade.

Technologies like artificial intelligence (AI), machine learning (ML), and automation in all of its forms can augment human workers and enable them to pivot to more valuable work, and perform their jobs with more efficiency, safety, and ease. Yet there's justifiable concerns emerging regarding the potential of these technologies to displace human workers. Ronald van Loon is working in partnership with Protiviti, and was able to examine their recent study, Future of Work Top Risks Survey brief, which was conducted as a joint effort with NC State University, and lend his point of view as an industry analyst about the evolving dynamic between technology and the future of work. How we work changed dramatically over the course of the past year, leading to new remote and hybrid work models, changing workforce and employment trends, and ubiquitous technology adoption to accelerate the necessary transformation to sustain operations. Protiviti's findings indicate that the future of work is shaping up to be one of the most disruptive and definitive business challenges of the next decade.

The workforce is about to undergo a technological revolution: Over the next 10 years, 1.2 billion employees worldwide will be impacted by automation and artificial intelligence (AI), with 50% of jobs being changed by the technology and 5% being eliminated, according to the World Economic Forum. While many industries will change in the next decade--82% of HR leaders predict their role will be unrecognizable in 10 years-- IT professionals will see some of the biggest shifts in job function, led by growing tech innovations, said Michael Solomon, co-founder and managing partner at 10x Ascend. The year 2020 alone will host a bevy of technological innovations. This year will also bring advanced use cases for AI and machine learning systems. These changes will not only impact people's lives, but their jobs too.

With decision-makers under pressure to not only embrace the likes of artificial intelligence (AI) and machine learning, but also the fourth industrial revolution agenda, they must draw a distinction between what is real and what is hype. AI has significant potential in the country, but it must be applied correctly if it is to be successful. Increasing from $9.5 billion in 2018 to an expected $118.6 billion by 2025, AI has certainly become one of the fastest-growing ICT industries. And even though some analysts anticipate manufacturing will experience the highest AI usage growth, all sectors of the market will likely benefit from this approach that will fundamentally disrupt the way business is done. One of the underlying advantages of using AI-led systems, is how it is making work not only easier but more efficient as well. This enables information workers and blue-collar workers alike to focus on other functions.

Artificial Intelligence is real and it is here. But successfully putting AI into action isn't exactly a walk in the park -- it requires a fundamental rethinking of the business. The pressure is on -- 53 percent of executives responding to a recent survey said their industry has "already experienced disruption" due to AI. An example that applies to potential AI-driven disruption in the retail sector is Amazon's Go store in Seattle, which employs AI to operate with no checkout clerks or lines -- purchases are tracked as shoppers remove items from the shelves. Along with signaling disruption, a recent survey of 1,000 business and IT leaders commissioned by Infosys which finds AI -- as we know it today -- has moved beyond the experimentation stage, and is delivering real benefits.

Artificial intelligence has become such an integral part of digital transformation today that it's almost synonymous with DX itself. AI allows us to extrapolate value from our data. It allows us to gain operational efficiencies. It even allows us to replace entire job functions! But to do so, it needs to be implemented well.

Artificial intelligence has become such an integral part of digital transformation today that it's almost synonymous with DX itself. AI allows us to extrapolate value from our data. It allows us to gain operational efficiencies. It even allows us to replace entire job functions! But to do so, it needs to be implemented well.

The World Economic Forum (WEF) is upon us this week, and the Future of Work is one of its key themes. This is a good opportunity to catch up on the trends unfolding in this domain right now, and to ponder on the insights of the people taking note and shaping this discussion. Automation and AI is part of this discussion as well, with the jury still out as to how exactly this will shape labor, workforce dynamics, and workplace transformation among others. Based on the WEF's latest report on the Future of Jobs, we highlight the major forces at play today. We discuss how these effect the technology behind the job market with Panos Alexopoulos, Head of Ontology at Textkernel, a Careerbuilder company.

From emotion AI that can detect real-time changes in mood to self-driving cars, the world is drastically remoulded by digital and technological transformation. AI is even now capable of acting like a curious 3-year-old toddler who will knock the glass off the table "just to see what happens." Perhaps, one day dating apps can finally make better recommendations than the last guy you went out with. Tall, dark and handsome – doesn't the algorithm get it? The algorithm does get it and all too well, inadvertently displacing humans from blue and white-collar jobs at such an alarming rate that policy makers, economists and technocrats are sitting up. AI pundits, however, are optimistic and exhort us to focus on how we can collaborate with machines.

We are no longer on the brink of a changed world resulting from artificial intelligence (AI) -- we are already immersed in that world. Today, software-driven machines are learning to process unstructured information in meaningful ways, an activity that until relatively recently was the domain of humans alone. As more and more companies join the AI revolution, it is becoming clear that AI is fundamentally changing every aspect of the way leaders lead, from the way they drive innovation and compete to the way they train and recruit talent. This is according to a recent Infosys report, "Leadership in the Age of AI," a survey of more than 1,000 business and IT leaders at enterprises in seven countries. Seventy-three percent of respondents to the survey said that AI has already transformed the way they do business.