New AI, New Jobs
Artificial intelligence (AI) is a rapidly evolving field that is changing the way we live, work, and interact with the world. One of the most significant impacts of AI has been on the job market. While there is much concern about the loss of jobs due to automation, there are also many new jobs being...
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| Vydáno v: | Transformative AI s. 147 - 151 |
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| Hlavní autor: | |
| Médium: | Kapitola |
| Jazyk: | angličtina |
| Vydáno: |
River Publishers
2024
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| Vydání: | 1 |
| Témata: | |
| ISBN: | 9788770040716, 8770040192, 9788770040198, 8770040710 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Artificial intelligence (AI) is a rapidly evolving field that is changing the way we live, work, and interact with the world. One of the most significant impacts of AI has been on the job market. While there is much concern about the loss of jobs due to automation, there are also many new jobs being created in AI and related fields.
Prompt engineering: It is a field of work that involves developing natural language processing (NLP) models and algorithms that can understand and respond to human language inputs in a way that is accurate, relevant, and coherent. This is the core technology behind many AI-powered systems that use natural language as an interface, such as chatbots, virtual assistants, and voice-controlled devices.
AI ethics and governance specialist: As AI systems become more prevalent, there is a growing need for professionals who can ensure that these systems are developed and deployed ethically and responsibly. AI ethics and governance specialists help organizations to navigate complex ethical and legal issues related to AI, including issues around privacy, bias, and transparency.
AI business strategist: As more companies invest in AI, there is a growing need for professionals who can help them to develop and execute AI strategies that align with their business goals. AI business strategists work with executives and stakeholders to identify opportunities for AI, develop business cases for AI investments, and ensure that AI initiatives are aligned with broader business strategies.
AI product manager: AI product managers are responsible for developing and managing AI-powered products and services. They work with cross-functional teams to define product requirements, develop roadmaps, and ensure that products are delivered on time and within budget. They also need to stay up-to-date with the latest developments in AI technology and market trends to ensure that their products remain competitive.
AI user experience designer: As AI becomes more ubiquitous, there is a growing need for professionals who can design user experiences that are intuitive, engaging, and responsive. AI user experience designers work with product teams to create user interfaces that are optimized for AI-powered interactions, such as chatbots, virtual assistants, and recommendation engines.
AI cybersecurity analyst: As AI systems become more complex, they also become more vulnerable to cyberattacks. AI cybersecurity analysts help organizations to identify and mitigate security risks related to AI, including issues related to data privacy, system vulnerabilities, and insider threats.
AI engineers, for example, are responsible for creating and integrating AI algorithms into existing systems. They need to understand both the technical aspects of AI and the business needs of the organization they work for. They also need to stay up-to-date with the latest developments in AI technology to ensure that their systems remain competitive.
Data scientists and machine learning specialists, on the other hand, work with large datasets to identify patterns and develop predictive models. They use algorithms to train AI systems to recognize and respond to specific inputs, such as images, speech, or text. This requires a deep understanding of statistics, mathematics, and computer science, as well as domain-specific knowledge in fields such as medicine, finance, or engineering.
Software developers are responsible for creating the applications and platforms that run AI systems. They use programming languages such as Python, Java, or C++ to write the code that enables AI systems to communicate, learn, and make decisions. They also need to work closely with other professionals to ensure that the software is secure, scalable, and user-friendly. |
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| ISBN: | 9788770040716 8770040192 9788770040198 8770040710 |
| DOI: | 10.1201/9781032669182-28 |