As companies worldwide have been building up their data, analytical and artificial intelligence (AI) capabilities for several years now, many marketing, media and digital managers would theoretically have at their disposal enough tools to get a better understanding of their consumers. But do they know how to achieve this? What are the challenges? This group provides a platform for experts to discuss analytics and data science andas relevant to marketing, media and retail. It shall offer questions and answers to all the issues people interested and involved in the area may encounter, such as: - Concepts and methodologies: visualisation, statistical analysis, econometrics, generative(GenAI), machine learning, natural language processing (NLP), speech recognition, voice recognition, "Big Data" technology, Internet of Things (IOT), etc. - Applications: Market segmentation, classification, optimization, customer lifetime management, cross- / up-selling, demand forecasting, media mix modelling (MMM), attribution, pricing, advertising efficiency, KPI, optimisation, market basket analysis, fraud detection, customer relationship management (CRM), Customer Data Platform (CDP), data management platforms (DMP), programmatic buying, sentiment analysis, chatbots, recommender systems, personalization, identity resolution, search, predictive customer service, ad targeting, content generation, etc. - Industries: Advertising, Automotive, Banking, Casino & Gaming, Consulting, Consumer Goods (CPG, FMCG), e-Commerce, Cosmetics, Financial Services, Government, Healthcare, Hospitality, Insurance, Luxury, Manufacturing, Market Research, Media, Oil & Gas, Pharmaceuticals, Retail & Distribution, Travel & Entertainment, Telecommunications, etc. - Challenges: Technology, data management, modelling, deployment, organisational issues, ROI, cultural change, talent acquisition, compliance, ethics, taxation, privacy, data privacy, GDPR, etc. Dear friends, the stage is yours!