Group 1: Consumer Attitudes Towards AI - A survey conducted by Marketing Delivery revealed that 52% of respondents are neutral or prefer AI communication from retailers, indicating a growing acceptance of AI among consumers, while 48% remain opposed or neutral [1] - The evolution of the customer journey necessitates new processes and tools for capturing accurate data to enhance personalized interactions, as highlighted by Jeremy Evans from Marketing Delivery [2] Group 2: Impact of AI on Customer Journey - Businesses are experiencing a significant decline in organic web traffic, with some firms reporting decreases of up to 50%, prompting a shift from traditional SEO to Generative Engine Optimisation (GEO) [3] - The integration of AI technologies is transforming the customer journey, with AI providing immediate answers to consumer queries, thereby changing how customers interact with retailers [4] Group 3: AI in Automotive Safety - Motive is focusing on transitioning from reactive fleet management to real-time, AI-driven prevention to enhance road safety and reduce collision costs [8] - Advances in edge AI allow for real-time decision-making within vehicles, improving safety by detecting unsafe behaviors with higher accuracy [9] Group 4: AI Applications in Fleet Management - Fleet Assist is trialing a voice AI-driven booking service to automate service bookings, allowing specialists to focus on complex requirements [11] - The use of telematics and AI in fleet management is enabling better predictions for vehicle maintenance and enhancing safety through driver behavior analysis [22] Group 5: Future of AI in the Automotive Industry - The automotive industry is expected to see a rise in accurate, predictive AI applications, with organizations demanding measurable outcomes and clear ROI from AI investments [26] - The development of autonomous driving technology is anticipated to progress significantly by the end of the decade, with ongoing trials being conducted [29]