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.

As a service to the system, UNSSC has designed five, freely available, self-paced, introductory e-learning modules, each focusing on a cutting-edge skill identified in the Quintet of Change - UN 2.0 Policy Brief (Innovation, Strategic Foresight, Behavioural Science, Data, Digital).

Basic training sessions on AI/ML and GAI. Generative AI falls under the overall category of AI and offers a new and exciting way of interacting with information, brands, and other people. Let’s talk about how these disciplines work together and about materials available to help you upskill in these areas. Google is happy to announce a new set of generative AI training content available at no cost. So, whether you are just getting started or already have a more advanced role, read on to find ways to help reach your desired position.

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.