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Applied AI and the Future of Work

As we look toward the future, there’s one technology that’s set to transform the way we work (and play!) more than any other: artificial intelligence (AI). AI has been hailed as a game-changer for businesses across industries, promising to deliver smarter, more efficient ways of working and unlocking new opportunities for growth.

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While AI is undoubtedly exciting, its potential can feel out of reach for many companies. In this blog post, we’ll explore the concept of applied AI, how it will transform work, and why we, as an industry-leading educational game developer, think applied AI is so important, especially for learners that will enter into the STEM workforce. 

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What is applied AI?

Applied AI is “a branch of computer science that takes AI software out of the lab and applies it within business environments to perform real-world tasks.” Unlike traditional AI research, which is focused on creating AI models that closely mirror human intelligence, applied AI is more concerned with output and solutions. 

Applied AI stands out due to its ability to meet five key success factors, including being immediate, creating a positive human impact, ready to scale, being trusted, and being commercially viable. Ultimately, applied AI offers businesses an opportunity to transform their processes and customer outcomes for the better.

Why is applied AI important for the future of work?

The future of work is all about efficiency, productivity, and innovation. Applied AI offers businesses an opportunity to achieve all of these goals by transforming their processes and reimagining customer journeys and outcomes for the better. Here are just a few of the ways that applied AI is set to shape the future of work:

  1. Automation: Applied AI can automate many routine and repetitive tasks, freeing up employees to focus on more high-value work. This not only increases productivity but also helps to reduce the risk of errors and improve the overall quality of work.
  1. Personalization: Applied AI can be used to create more personalized experiences for customers and employees alike. By analyzing data about their preferences, behaviors, and needs, AI can tailor and adapt its interactions with individuals to create a more engaging and satisfying experience.
  1. Decision-making: Applied AI can assist decision-makers in making better, data-driven decisions. By analyzing vast amounts of data and identifying patterns and trends, AI can provide insights and recommendations that human decision-makers might miss.
  1. Innovation: Applied AI can help businesses to innovate by identifying new opportunities and suggesting new ideas. By analyzing data about customer needs and preferences, AI can help businesses to create new products and services that meet those needs more effectively.

Why applied AI is important to us

In today’s ever-changing job market, it’s more important than ever to prepare students for the future of work in STEM (science, technology, engineering, and mathematics) fields. Game-based learning is a great tool for achieving this goal. Applied AI is another tool that is important for young people to understand. 

AI is already being used in the classroom to enhance learning experiences for students. AI-powered educational software can analyze student performance data to provide personalized feedback and adapt learning content to individual needs – whether used in a game-based learning context or a different one. This approach can help students learn more efficiently and effectively, as they receive feedback tailored to their individual strengths and weaknesses.

As the field of AI continues to grow, there is an increasing demand for professionals with AI-related skills. By teaching students about AI and how it can be applied to different industries, educators can prepare them for AI-related careers.

One way to do this is by integrating AI into existing STEM courses. For example, students can learn about machine learning algorithms in computer science courses, or they can explore the applications of AI in the medical field in biology or health science classes. By incorporating AI into existing courses, students can learn how AI can be used in different industries and gain a better understanding of its potential impact.

Additionally, schools can offer specialized courses in AI and data science. These courses can provide students with a more in-depth understanding of AI technologies and how they can be applied to real-world problems. Students can also learn about the ethical considerations involved in developing AI technologies, such as data privacy, bias, and fairness.

Applied AI has the potential to transform STEM education and prepare students for careers in AI-related fields. By integrating AI into existing STEM courses and offering specialized courses in AI and data science, educators can equip students with the skills and knowledge necessary to succeed in the 21st-century workforce. As the demand for skilled professionals in AI-related fields continues to grow, it is important for educators to prioritize AI education to ensure that students are prepared for the jobs of the future.

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