As if the age when such technology will become an integral part of our lives is yet to come. Little do we realize that this time we imagine to be sometime in the future has already arrived and is here right now. A term that sounds so obscure at first sight, it is, in fact, already having a major impact on our lives day to day, even if we might not even fully recognize it yet. In reality, the reason AI sounds so outlandish is simply because people don't fully comprehend what the technology represents and what it's capable of; in short, there is this cloud of miscommunication and lack of understanding that enshrouds this seemingly loaded but inherently simple innovation. Artificial intelligence, in essence, is the kind of technology that operates quite similarly to the human brain -- except for the fact that it's infinitely faster in processing information.

If you've seen Sci-Fi movies, you very well "know" what AI is! Machines and computers hell-bent on taking over the world and wiping out the human race! Well, they're just fictional movies, so no need to take them that seriously! On a more serious note, AI simply stands for Artificial Intelligence. It's the ability of a computer system, or a machine, to carry out functions that would usually have required human intelligence. To help you better understand the world of AI, we discuss how AI is being used today to help make our day-to-day lives that much easier and simpler.

From online dating to cybersecurity, AI is routinely working behind the scenes in various aspects of our day-to-day lives. From smart infrastructure grids to bot-authored news reports, algorithms and artificial intelligence capabilities are routinely working behind the scenes in various aspects of our day-to-day lives. COVID-19 only accelerated the adoption of automation across industries and Gartner pegged "smarter, responsible [and] scalable AI" as one of its top 2021 data and analytics tech trends. In this roundup, we've highlighted some of the ways AI is transforming everything from animal conversation efforts to matchmaking in the digital age. The agtech company AppHarvest is using a number of transformative practices to reimagine farming in the 21st century, including AI.

AI used to be an idea of a super-intelligent computer doing god-knows-what on a site in Silicon Valley. AI applications are now present in our day-to-day lives. With rapid development of innovative technological solutions, Artificial intelligence (AI) has now emerged as a key variant on how data is analysed to inform decisions at corporate and individual levels. AI is the simulation of human intelligence processes by machines, especially computer systems. Today's top AI firms are leaders in global business development, as artificial intelligence has grown in importance in the commercial world.

Artificial Intelligence or AI is rapidly gaining momentum around the world. While AI is often portrayed in film and television as a precursor to the end of the world, in reality, it is quite a bit more benign. AI, as we know it currently, is relatively innocuous. Known as narrow or weak AI, it is only able to perform relatively simple tasks. Things like responding to your search requests on Google or facial recognition on the photos on Facebook are areas where weak AI can excel.

There are several ways technology betters our day-to-day lives. Our phones, cars, and computers are becoming smarter every day. With a few buttons, you can order food, set up doctor consultations, and even be driven to another place. We are now used to living in that version of our world. But do we ask ourselves how they keep advancing? More often than not, the reason for this is AI. But what is AI, and what are some examples of AI that we don't know we're using? There is not a universal definition of artificial intelligence (AI). Some define it through its field of study; others define it by how "human" its qualities are. When these definitions are added together, you get an idea of what AI is all about. AI is a branch of the computer sciences that develops machines into thinking and acting like humans. Machines, when built with AI, must think rationally and act humanly. Recent developments in AI have made them capable of speech recognition, problem-solving, and machine-learning. As you can see from these examples, humans are replicating what makes them distinct from other animals.

Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn't look like the excitement is going to wear off as a new decade dawns. The past decade will be remembered as the time when machines that can truly be thought of as "intelligent" – as in capable of thinking, and learning, like we do – started to become a reality outside of science fiction. While no prediction engine has yet been built that can plot the course of AI over the coming decade, we can be fairly certain about what might happen over the next year. Spending on research, development, and deployment continues to rise, and debate over the wider social implications rages on. Meanwhile, the incentives only get bigger for those looking to roll out AI-driven innovation into new areas of industry, fields of science, and our day-to-day lives. Here are my predictions for what we're likely to see continue or emerge in the first year of the 2020s.

Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn't look like the excitement is going to wear off as a new decade dawns. The past decade will be remembered as the time when machines that can truly be thought of as "intelligent" – as in capable of thinking, and learning, like we do – started to become a reality outside of science fiction. While no prediction engine has yet been built that can plot the course of AI over the coming decade, we can be fairly certain about what might happen over the next year. Spending on research, development, and deployment continues to rise, and debate over the wider social implications rages on. Meanwhile, the incentives only get bigger for those looking to roll out AI-driven innovation into new areas of industry, fields of science, and our day-to-day lives. Here are my predictions for what we're likely to see continue or emerge in the first year of the 2020s.

Workforce development has changed dramatically over the last few years. Challenges on how to tackle the future of work and related ethical issues abound. For example, how should companies help older workers transition to new ways of doing their jobs? How can they address the needs of a new generation of employees who care less about work-life balance, and more about work-life integration? And how can HR leverage emerging technologies and artificial intelligence (AI) to better meet employees' needs and help them wade through the overwhelming amount of data available to get answers to their specific problems? Emily He, Senior Vice President of Human Capital Management at Oracle, has been giving all these questions a lot of thought. Watch the video as she shares her insight into the future of work, talent management, and incorporating enterprise software and AI to help humanize the office environment. According to Emily, the concept of humanizing work means helping employees be the best they can be while connecting with the company's value. For companies, it also means understanding how their customers engage with the software they use in a conversational way, using, say, voice or text. She sees AI taking shape in enterprise software, freeing up time for workers to do more creative, strategic activities. Emily also talks about the challenges for HR in helping workers to deal with the automation of their old jobs and to acquire new skill sets in order to transition to new job functions. On the flip side, it also means adapting to the way new employees engage with technology in their lives and incorporating new styles of work into the company's environment. Overall, she believes HR sits at the intersection of technology, humanity, and work, and enjoys a unique position to use technology to deliver a better employee experience.

Over a year ago, I started researching artificial intelligence (AI). As a marketer for a company with an advanced digital solution that uses AI-type technology, I thought it was important for me to know the competition and learn about solutions that could help me currently and in the future. Throughout my research, I found both pros and cons to AI, and it inspired me to write an article in which I argued the benefits of AI outweigh the risks. I came across that article while I was researching something else recently, and I thought it would be a good time to revisit it. A lot has transpired since I wrote the piece in February 2017, but my argument that tech adoption is slow and therefore it will be years before AI reaches its full potential is still valid. Even though we are seeing incremental progress in the role AI plays in our day-to-day lives, the change has been so gradual that, without a bit of research, it's hard to tell the difference between today and a year ago.