Apr 04, 2022
In Welcome to the Forum
As we all know, artificial intelligence or machine learning is something that has intrigued me in recent years. I even used this technique to design a company logo for a side project . The expanding use of AI in business is fascinating, and as the technology continues to mature, it will only get more exciting to see what's to come. After 25 years in the business, I have experienced first-hand the changing marketing environment. Over the past decade , we have seen dramatic changes in the industry, the most prevalent and revolutionary of which is the complete reliance on the online realm. My business is growing on the web, and platforms like Twitter are core tools. As the industry and its customers and consumers continue to evolve, so does technology. AI technology has been proven to streamline operations and speed up internal processes and achieve their intended purpose. AI is also seen as having a direct impact on enhancing personalized communication for deeper interactions with customers by combining technology with personalization. The purpose of machine learning in business is to solve more mundane, repetitive roles. This, in turn, frees up more opportunities for employees to focus on more fulfillin G and complex tasks at hand. Thus, giving a higher sense of achievement and workplace satisfaction. Business needs for using AI include improving cost efficiency and speeding up decision-making. While increasing sales revenue is surprisingly one of the lowest usage needs. As with anything new that could revolutionize the business side, there are concerns. As seen with the advent of digital marketing, which many companies initially struggled to grasp. There are concerns that the prevalence of machine learning in business could mean job losses due to the potential to automate human activities. In 2013, an Oxford University study predicted that 47% of jobs could be automated by 2033, and the growing rise of artificial intelligence in organizations appears to support this. However, I found a Harvard Business Review survey to suggest that these concerns may be relatively industry mailing list since artificial intelligence is being used for computer activities. It looks set to replace jobs that are already computer-based, only augmented with artificial intelligence. In fact, another survey done by EY even showed that an overwhelming majority believe machine learning is more likely to create more jobs than take them away. As far as the benefits of machine learning are concerned, its implementation in business clearly has wide-ranging benefits. However, as Nigel Duffy, Ernst & Young's global head of innovative AI, said, there is a shortage of talent in AI practitioners. As a result, businesses increasingly need to continue investing in training programs to attract and retain experts in the field of AI. A shortage of talent in leading AI practitioners could lead to a lack of diversity. Diversity of talent is important because in order to achieve racial and gender diversity in AI projects, it must be integrated at the coding stage. Since it's still an evolving piece of software, it's important that as businesses experiment with machine learning, performance should be monitored and analyzed to determine if it will be successful and ubiquitous in the future. Currently, businesses are primarily focused on learning and experimenting with the technology before defining specific outcomes. This underscores the importance of educating people in all aspects of artificial intelligence and machine learning, as there is a clear need for increased talent and the more obvious fact that it is still an emerging technology. Google is offering a new online course in which participants will learn about artificial intelligence and machine learning. Not only is this course extensive and accessible to people of all professional levels, it's completely free . Originally designed to give Googlers a practical introduction to the fundamentals of AI and machine learning, 18,000 employees have signed up. If you want to learn more about how artificial intelligence can enhance your business, you're in luck because Google is rolling out the course to the public. For those interested in learning more; the course runs on TensorFlow and is listed as taking about 15 hours to complete, including: interactive lessons, lectures by Google researchers, and over 40 exercises. If you don't have professional software, you don't need to worry as the course runs entirely online.