and welcome sharing and discussion. An era and industry that changes every five years 1 ) How to define AI advertising All AI methods used in the process from insight generation to activation of optimized advertising, including AI-related technologies and algorithms, such as machine learning, neural networks, computer vision, natural language processing ( NLP ), and intelligent process automation. 2 ) Three levels of AIGC : basic layer, middle layer, and application layer The basic layer is mainly composed of pre-trained model technology inputs, and representative companies include Open AI and Stability.ai ; the middle layer provides vertical, scenario-based and personalized models and application tools; and the application layer provides text, pictures, audio and video content generation services for B/C end users . 3 ) Four main bodies of the advertising industry: technology, creativity, media, and operations AD Network optimizes technology and media, and DSP/ADX further optimizes.
Media, oCPX optimizes operators, and AI has the potential to restructure all links, and it is a revolutionary impact. 4 ) AI advertising is not a new thing In fact, as early as 2020 , Jasper began to empower creators india whatsapp number data to create advertisements on FACEBOOK , comprehensively improving operational capabilities to find new creative marketing breakthroughs. The question is: What level of energy is driving AI ’s transformation of the advertising industry; which links will this transformation directly and indirectly change; in which scenarios will the new wave of technological dividends appear; and what are the unknown risks and disasters?
Below is the main text , 16 predictions for the restructuring of the advertising industry within five years . 1. Reconstruction of production and creation The scale and sophistication of modern digital business inevitably requires a shift from human experience-based decision-making to machine intelligence-based decision-making. The explosion of generative AI has been initially realized in the field of copywriting materials. Advertisers only need to provide relevant keywords and themes, and AI can automatically generate corresponding copywriting. AI writing technology can analyze the tastes and needs of the audience, optimize the language of copywriting to make it closer to the audience, and achieve one-to-one personalization in batches, thereby improving advertising effectiveness. The focus is still on this .