With exceptional emergence and implementation of big data and analytics, both AI and machine learning have become two buzzwords in the industry right now. And they often seem to be used interchangeably. However, they shouldn’t be considered as one thing since there’re some clear differences that make AI and machine learning separate. If you’re like a majority of the marketers, and are perhaps planning to any or both of these, it becomes all the more important to have a solid understanding of the differences between them.
With the heavy impact of artificial intelligence on almost every facet of society, there’s no doubt that businesses have already started harnessing the power of this technology. As a result, a huge demand of proper talents can be seen today. We all know that machine learning has the potential to change today’s business landscape but the speed of this transformation heavily depends on the availability of talents.
These days, terms like data science, machine learning and artificial intelligence are sometimes mentioned interchangeably, albeit incorrectly. Even an organization offering a new technology powered by any of these may talk about their high-end data science techniques without having much knowledge about them.
Did you know that the artificial intelligence market is expected to grow at a CAGR (compound annual growth rate) of a whopping 52% from 2017 to 2025? The term, what was coined by John McCarthy in 1953, has become one of the most crucial parts of our daily lives and in the business environment these days. In today’s tech-driven world, a lot of work is being done by software and machines and these can be heavily attributed to artificial intelligence. In this post, we’re going to see how this field has enabled us to achieve highs that were unthinkable without it.
Artificial intelligence together with its most talked about subcategory machine learning are probably the biggest two factors impacting the entire business world and transforming it. We may not always realize how these technologies are involved in our day-to-day life, but in reality, they’re present in a lot of aspects. In a business context, almost every industry leverages the power of artificial intelligence and machine learning – from traveling industry to transportation industry to the healthcare industry and many more. In this post, we’re going to explore the impacts of these two technologies on the finance industry.
Undeniably, artificial intelligence has become one of the most talked-about areas of the IT domain. The demand for artificial intelligence developers is growing rapidly and professionals from different industries, as well as, beginners are trying to step into this field. Though there’re people who imagine a future where machines replace humans, it’s probably the best time to learn this technology as it’ll change the future of the tech domain drastically. If you’re a beginner and looking to become an artificial intelligence developer, here’re the most effective ways you should follow.
Undeniably, both the terms artificial intelligence and machine learning belong to the most-used buzzwords these days. Almost every tech organization is using these terms when talking about their products or services. Unfortunately, there’re still lots of confusion within the common people about what are these two exactly. Let’s go through the key differences between artificial intelligence and machine learning.
In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.
Both data science and artificial intelligence are extremely talked about topics in today’s technology domain. Both of these technologies are being steadily adopted by businesses across the globe, regardless of industry or domain. However, there is a question often asked by people, particularly those looking to enter any of these fields, regarding how data science and artificial intelligence are connected and how they’re different from each other. In this post, we’re going to take a closer look at both aspects of both the fields to help you obtain a clear idea and take an informed decision.
During the last few years, we’re experiencing a big revolution from mobile computing to immersive computing. We’ve also seen a new wave of devices employing virtual reality (VR) that defines a major spectrum of immersive technology that has the ability to replace mobile computing. In 2016, a range of virtual reality products came to the market by some tech giants. The large acquisitions and investments made by those tech giants reveal that virtual reality and augmented reality (AR) will become highly integrated with the platforms on which people consume content in the coming future.