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I wish I had a penny for every time I heard a person say they wanted to become a data scientist. From computer programming majors to mechanical engineering graduates, everyone wants to break into the data science industry. This is understandable, as the field carries with it the promise of a thick pay check and flexible working hours. However, there are many other less popular career options in the data industry that pay very well. Some of these fields are growing at an even faster rate than data science.

On a normal day, we come across the buzzwords'artificial intelligence' and'data science' at least once. Whether we agree or not, both technologies have made a significant impact on our lives. They are the most important technologies that we prefer to imply in our routine. However, the combat on data science vs artificial intelligence is never-ending. To begin with, data science and artificial intelligence are totally different.

In India, choosing the right career path has always been critical for students who are passing out of school. With several industries being impacted by the pandemic, it has become doubly imperative for students to consider a profession that is not only recession-resilient but will continue to be in high demand in the future. Long before Covid-19, digitalisation and emerging technologies were changing the global work landscape. Professions that were once popular, like data entry, bookkeeping, and statistical clerks, to name a few, are becoming redundant and new professions are trending. While it's impossible to predict the future of every job role in the workplace, there are certain professions that can help safeguard your career.

As businesses interact with customers and collect large volumes of data, they have started appreciating the importance of machine learning in their business. By collecting insights from the data, companies can work better and gain a competitive edge over others. The Machine Learning tutorial will help you understand machine learning, it's working principles, and how it can be used every day. As an emerging field, Machine Learning offers immense opportunities for those looking at a highly impactful and satisfying career in IT. The Machine Learning market is expected to reach USD 8.81 Billion by 2022, with a growth rate of 44.1-per cent.

Artificial Intelligence is a field that we have seen unfold right before our eyes. We have seen tremendous growth in this field. As per reports, Artificial Intelligence is expected to create around 133 million new jobs, which itself is a lucrative figure. It shows that there is a great need for educated individuals who have expertise in this domain. Since it's a decade, old technology which has taken the world by storm, pursuing a formal education in this field remains sceptical owing to lack of information.

As we all know, Artificial Intelligence (AI) already taking the HR industry by storm – impacting job descriptions and redefining how HR and talent management professionals work. For instance, not only does AI speed up the sorting and filtering process for HR by helping them scan resumes, but now, AI technology is humanizing the process by giving recruiters more time to talk to stronger candidates. In this light, we spoke with Neil Cains, CTO of the Allegis Group's Innovation Lab. Allegis Group is a global leader in talent, staffing, and recruitment services. We discussed with Cains the impact of AI within talent management, HR tech and the industry. Companies are just starting to look at how they will automate the work they need to do.

AI,robotics, and automation have gained a rapidly expanding foothold in the workplace, faster than many organizations ever expected. While organizations are increasingly using these technologies to automate existing processes, true pioneers are radically rethinking work architecture to maximize the value of both humans and machines--creating new opportunities to organize work more effectively and to redefine the human workforce's skills and careers. The adoption of automation, robotics, and artificial intelligence (AI) is accelerating dramatically. Almost half (47 percent) of this year's respondents say that their organizations are deeply involved in automation projects, with 24 percent using AI and robotics to perform routine tasks, 16 percent to augment human skills, and 7 percent to restructure work entirely. Expectations for AI and robotics have also increased significantly.

AI, robotics, and automation have gained a rapidly expanding foothold in the workplace, faster than many organizations ever expected. While organizations are increasingly using these technologies to automate existing processes, true pioneers are radically rethinking work architecture to maximize the value of both humans and machines--creating new opportunities to organize work more effectively and to redefine the human workforce's skills and careers. The adoption of automation, robotics, and artificial intelligence (AI) is accelerating dramatically. Almost half (47 percent) of this year's respondents say that their organizations are deeply involved in automation projects, with 24 percent using AI and robotics to perform routine tasks, 16 percent to augment human skills, and 7 percent to restructure work entirely. Expectations for AI and robotics have also increased significantly.

It has been fascinating beyond limits to predict the future and inculcating the similar tone in technology. So, when we discuss the future prediction in the field of robotics then it is inevitable to have it mixed with artificial intelligence. And, then we again ask this question – What does robotics has for us in the coming year? Apart from the usual stuff of network getting better, speed touching heights, better versions coming up, there is much more to just looking for an enhancement. This is where we can discuss the new innovations, not that the better versions are not celebrated, but they take a back seat once in a while. With every possible industry being occupied by the automation, it is hard to imagine robotics not playing a determining role.