The unprecedented changes witnessed globally in the recent past have transformed the way we think, interact, and work. Enterprises across the globe are going through cultural and structural shifts that requires them to reimagine and restructure their business processes. New Age technologies such as AI, ML, cloud, with their ability to connect processes, data, and people are revolutionizing the work culture. In such a scenario, enterprises need to reshape their operating models to accommodate this transition. Here are the five trends that are impacting the future of work globally.

The fundamental nature of labor is changing due to automation, AI, and other developments. They're altering how businesses and customers interact and carry out internal operations, as well as how they conduct business. Knowing these advancements is beneficial to business executives, inventors, and professionals. Artificial intelligence and automation are transforming businesses and will assist enhanced productivity and contributing to the future economy. They also assist in resolving social issues ranging from health to climate change. At the same time, these technologies are transforming the nature of employment and the workplace.

However, while A.I may be replacing some jobs, it is also creating new ones. In fact, a study by PwC found that 38% of jobs in the United States are at high risk of being replaced by automation within the next 15 years. But at the same time, it also found that 33% of jobs are likely to be created that don't exist yet. So while there may be some job losses due to automation, there will also be many new opportunities. So what can you do to make sure you're prepared for the future of work?

Among the things I have not missed since entering middle age is the sensation of being an absolute beginner. It has been decades since I've sat in a classroom in a gathering cloud of incomprehension (Algebra 2, tenth grade) or sincerely tried, lesson after lesson, to acquire a skill that was clearly not destined to play a large role in my life (modern dance, twelfth grade). Learning to ride a bicycle in my early thirties was an exception--a little mortifying when my husband had to run alongside the bike, as you would with a child--but ultimately rewarding. Less so was the time when a group of Japanese schoolchildren tried to teach me origami at a public event where I was the guest of honor--I'll never forget their sombre puzzlement as my clumsy fingers mutilated yet another paper crane. Like Tom Vanderbilt, a journalist and the author of "Beginners: The Joy and Transformative Power of Lifelong Learning" (Knopf), I learn new facts all the time but new skills seldom.

People who consume online media are constantly changing. These days, they look for instantaneous insights and results; making the role of machine learning even more important in SEO. Marketers only need to look at recent developments with Google's RankBrain to get a sense of how important it is to search marketing. Current machine-based technology can boost business productivity by up to 40%, according to Accenture. If you still aren't sure how machine learning is changing SEO, it's time to pay attention.

By nature, I am an optimist. Despite geopolitical and economic challenges, I believe the world's best days remain ahead. Just look right here in India. In the last decade, more than 200 million people have been lifted out of extreme poverty. That is a staggering accomplishment.

An engineer checking and controlling welding robotics automatic arms machines in an intelligent industrial automotive factory using a monitoring system software used to belong to the science fiction realm. However, this is the reality of digital manufacturing operations in today's Industry 4.0 smart factories. Industry 4.0 is a concept that originated in Germany and is related to the integration of Internet of Things (IoT) and Machine-to-Machine (M2M) technology with networking and analytics with industry processes. Another ingredient in Industry 4.0 is Artificial Intelligence, one of the fastest growing emerging technologies with a market expected to reach $70 billion by 2020. Artificial Intelligence is transforming jobs across all industries already, a tendency that is increasing.

An engineer checking and controlling welding robotics automatic arms machines in an intelligent industrial automotive factory using a monitoring system software used to belong to the science fiction realm. However, this is the reality of digital manufacturing operations in today's Industry 4.0 smart factories. Industry 4.0 is a concept that originated in Germany and is related to the integration of Internet of Things (IoT) and Machine-to-Machine (M2M) technology with networking and analytics with industry processes. Another ingredient in Industry 4.0 is Artificial Intelligence, one of the fastest growing emerging technologies with a market expected to reach $70 billion by 2020. Artificial Intelligence is transforming jobs across all industries already, a tendency that is increasing.

We are on the brink of yet another technological revolution; self-driving vehicles will dominate the roads, artificial intelligence (AI) will diagnose medical conditions or find the perfect property, and half-hour long rocket rides from London to New York will (supposedly) be available from 2022 onwards. Our workforce will be a part of this transformation, with machine learning and AI innovation improving workplace productivity, accuracy and output across the board. Of course, this also means a number of key responsibilities and roles are under threat – a harsh reality that is of concern to 79% of UK workers, according to our recent Talent Trends research. In theory, most roles follow a similar process: first you gather data, then you analyse it and interpret the results; finally you recommend a course of action and implement it. Automation and AI technology will have a significant impact on the gathering and analysing of data – but making thoughtful interpretations, determining practical solutions and delivering results through to completion is where the human element comes into play.

With current technologies like artificial intelligence, machine learning and data analytics being democratized in everyday applications, the IT industry has almost successfully transitioned into the Digital Era. When talking about digitization, one idea most industry leaders agree upon is that automation is the need of the hour. Along with other new age technologies, Robotic Process Automation (RPA) too has made a mark in the IT industry and according to Gartner 85 percent of big organizations will have deployed some form of RPA by the year 2022. While RPA is meant to bring about efficiency and reduce errors made in mundane and tedious work done manually by humans, it does give rise to the question of will there be a loss of jobs in the IT industry due to democratization of RPA. Automation, a popular emerging technology has an assured place in the future of global businesses.