https://moodle.uwtsd.ac.uk/mod/forum/view.php?f=25523 In today’s business world, firms are using analytics to diving deeper into their data to improve productivity, acquire a competitive edge, and boost their bottom lines. That is why businesses are eager to integrate machine learning (ML) and artificial intelligence (AI) because they want a faster, more accurate result. In addition, machine learning and artificial intelligence improved productivity by reducing repetitive tasks. As a result, nearly every sector in the world intends to use artificial intelligence and ML. Read the article - Ramachandran et al (2022) Machine learning and role of artificial intelligence in optimizing work performance and employee behaviour Consider the types of AI and Machine learning being used to increase productivity, what is your view on ML and analytics being use for not only developing talent and Performance Management but rewards also?  How will AI affect learning and development in your organisation, or one that you are familiar with? Or if your organisation is not using AI &amp; ML how would you like it to, and how would be of benefit to the organisation to develop talent? Moodle en (c) 2026 UWTSD Moodle https://moodle.uwtsd.ac.uk/theme/image.php/learnr/core/1773996748/i/rsssitelogo https://moodle.uwtsd.ac.uk 140 35 https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=134864&parent=222370 Mon, 16 Mar 2026 16:24:58 GMT by Helen Evans. &nbsp;<p><div class="text_to_html">Interesting, good links to Celebrity</div></p> https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=134864&parent=222370 https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=134864&parent=222247 Fri, 13 Mar 2026 16:51:38 GMT by Velislava Stoycheva Hristova. &nbsp;<p><p class="MsoNormal" style="text-align:justify;line-height:150%;"><strong><span style="font-family:Arial, sans-serif;">1. </span></strong><span style="font-family:Arial, sans-serif;">Machine learning (ML) and analytics can transform talent management by identifying high-potential employees, tracking skill gaps, and predicting future performance (Ramachandran et al., 2022). AI reduces subjectivity in performance reviews and enables personalised rewards based on predicted contribution. This approach ensures fairness, motivation, and engagement while linking recognition and compensation to both current performance and future potential.</span></p> <p class="MsoNormal" style="text-align:justify;line-height:150%;"><span style="font-family:Arial, sans-serif;"> </span><strong><span style="font-family:Arial, sans-serif;">2. </span></strong><span style="font-family:Arial, sans-serif;">AI can improve learning and development by creating personalised training pathways, analysing skills gaps, and providing real-time coaching. It also measures the effectiveness of learning programmes, allowing organisations to optimise training investments. For Celebrity Cruises, applying AI could enhance employee engagement, accelerate skill development, and increase retention, supporting a more capable and agile workforce.</span></p> <p class="MsoNormal" style="text-align:justify;line-height:150%;"><span style="font-family:Arial, sans-serif;"> </span><strong><span style="font-family:Arial, sans-serif;">3. </span></strong><span style="font-family:Arial, sans-serif;">If Celebrity Cruises implemented AI and ML, it could benefit from predictive talent planning, personalised coaching, and bias-reduced promotions and rewards. AI could also detect early signs of disengagement, allowing proactive interventions to retain top talent. Overall, AI/ML would shift HR from administrative tasks to strategic talent management, improving employee development and organisational performance (Ramachandran et al., 2022).</span></p> <p class="MsoNormal" style="text-align:justify;line-height:150%;"><strong><span style="font-family:Arial, sans-serif;"> </span></strong></p> <p class="MsoNormal" style="text-align:justify;line-height:150%;"><strong><span style="font-family:Arial, sans-serif;">Reference</span></strong></p> <p class="MsoNormal" style="text-align:justify;line-height:150%;"><span style="font-family:Arial, sans-serif;">Ramachandran, K.K., Apsara Saleth Mary, A., Hawladar, S., Asokk, D., Bhaskar, B. and Pitroda, J.R. (2022). Machine Learning and Role of Artificial Intelligence in Optimizing Work Performance and Employee Behavior. <i>Materials Today: Proceedings</i>, 51(8). doi: <a href="https://doi.org/10.1016/j.matpr.2021.11.544">https://doi.org/10.1016/j.matpr.2021.11.544</a>.</span></p></p> https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=134864&parent=222247 https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=133387&parent=221864 Tue, 10 Mar 2026 17:10:43 GMT by Helen Evans. &nbsp;<p><div class="text_to_html">Great resource and the answers tie nicely into how Premier Inn could use AI</div></p> https://moodle.uwtsd.ac.uk/mod/forum/discuss.php?d=133387&parent=221864