Published Paper Details:

Abstract Integrating artificial intelligence (AI) with big data analysis can significantly enhance marketing strategies by providing deeper insights, improving decision-making processes, and enabling more personalized customer experiences. This integration allows businesses to leverage vast amounts of data to identify patterns, trends, and correlations that may not be immediately apparent through traditional analysis methods. AI algorithms, such as machine learning and natural language processing, can analyze customer behavior, preferences, and feedback in real-time, enabling marketers to tailor their campaigns more effectively. Furthermore, predictive analytics powered by AI can forecast market trends and consumer demands, helping companies stay ahead of the competition. Recent technological advances that have already impacted corporate operations include the internet of things, big data analytics, and artificial intelligence, to name just a few. Artificial intelligence (AI) has the most potential to cause a revolution in marketing strategy compared to other forthcoming technologies. In today's corporate sector, artificial intelligence may be beneficial in a variety of contexts. The intellectual and expert consensus is that artificial intelligence will decide the destiny of human civilization. The expansion of information and communication capabilities has transformed the whole world into a massive network of linked nodes. As a result of technology applications, investments in Artificial Intelligence (AI) for huge data insights to deliver business intelligence have surged. Leverage your existing SQL skills to build, train, and deploy batch predictive models directly within Big Query or your chosen data warehouse with Big Query. Plus, Big Query ML integrates with Vertex AI, our end-to-end platform for AI and ML, broadening your access to powerful models that generate real-time, low-latency online predictions, including identifying new audiences based on current customer lifetime value, recommending personalized investment products, and forecasting demand.