This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course includes Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course covers introduction to AI in ICT/telecom world, and AI applications in Internet and telecom environments, including Machine Learning aspects for 5G mobile networks. The course further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.
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AI For Everyone
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
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Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities
Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities explores the transformative potential of AI in the hospitality industry. Learn how AI can lower operating costs, enhance customer experiences, and drive innovation in front office, housekeeping, and other key areas. Understand AI terminology, ethical considerations, and digitalization trends. Gain insights into the ethical implications and legal considerations of AI in hospitality as you learn how to harness the technology to boost your efficiency and sales.
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SDG 09: Industry, Innovation & Infrastructure
UNICC
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AI Academy
As artificial intelligence (AI) transforms global operations, the UN system and international organizations must equip their personnel with the skills to responsibly understand, apply, and benefit from AI technologies. Developed and operated by the UNICC AI Hub, the AI Academy aims to close the AI literacy gap across UN entities by launching a structured, multi-partner pilot initiative aligned with the UN 2.0 and based on the WFP’s Data and AI Competency Framework.
Medium (a few days)
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UNSSC
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E-learning Path on Data Analytics
The E-Learning Path on Data Analytics is designed to enhance your ability to analyse, visualize, report and communicate data effectively. Participants will complete modules and activities at their own pace. They will participate in engaging online forums and interact with faculty and peers.
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Join the UN Innovation Network
Thanks for your interest in joining the UN Innovation Network (UNIN). UNIN is a network for UN employees interest in innovation; we welcome non-UN colleagues in an observer role.
To get to know our members, their skills and expertise better, we would like to ask you a few questions about your work and interests. Please complete this form to reflect your own experiences and interests, not those of your team or organisation.
Thank you! Your submission has been received!
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