Artificial Intelligence () 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.
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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 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 -driven innovation into new areas of industry, fields of science, and our day-to-day lives. The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020 Adobe Stock Here are my predictions for what we’re likely to see continue or emerge in the first year of the 2020s.
1. will increasingly be monitoring and refining business processes
While the first robots in the workplace were mainly involved with automating manual tasks such as manufacturing and production lines, today’s software-based robots will take on the repetitive but necessary work that we carry out on computers. Filling in forms, generating reports and diagrams and producing documentation and instructions are all tasks that can be automated by machines that watch what we do and learn to do it for us in a quicker and more streamlined manner. This automation – known as robotic process automation – will free us from the drudgery of time-consuming but essential administrative work, leaving us to spend more time on complex, strategic, creative and interpersonal tasks.
2. More and more personalization will take place in real-time
This trend is driven by the success of internet giants like Amazon, Alibaba, and Google, and their ability to deliver personalized experiences and recommendations. allows providers of goods and services to quickly and accurately project a 360-degree view of customers in real-time as they interact through online portals and mobile apps, quickly learning how their predictions can fit our wants and needs with ever-increasing accuracy. Just as pizza delivery companies like Dominos will learn when we are most likely to want pizza, and make sure the “Order Now” button is in front of us at the right time, every other industry will roll out solutions aimed at offering personalized customer experiences at scale.
3. becomes increasingly useful as data becomes more accurate and available
The quality of information available is often a barrier to businesses and organizations wanting to move towards -driven automated decision-making. But as technology and methods of simulating real-world processes and mechanisms in the digital domain have improved over recent years, accurate data has become increasingly available. Simulations have advanced to the stage where car manufacturers and others working on the development of autonomous vehicles can gain thousands of hours of driving data without vehicles even leaving the lab, leading to huge reductions in cost as well as increases in the quality of data that can be gathered. Why risk the expense and danger of testing systems in the real world when computers are now powerful enough, and trained on accurate-enough data, to simulate it all in the digital world? 2020 will see an increase in the accuracy and availability of real-world simulations, which in turn will lead to more powerful and accurate . […]