The Dawn of AI+Marketing: Exploring Future Trends from the Status of DeepSeek
In recent years, as big data and AI technologies have evolved, the application of AI in marketing has expanded, especially with the use of Twitter data, providing deep consumer insights. This article explores the current state and challenges of AI+marketing through Baidu founder Li Yanhong's comments on DeepSeek and looks forward to emerging trends.
DeepSeek: Technological Challenges in AI Marketing
When discussing AI+marketing, Baidu's recently launched DeepSeek must be mentioned. As Li Yanhong points out, while DeepSeek significantly improves efficiency in intelligent customer service and enhanced search, its technological and cost limitations remain evident. For example, it mainly focuses on text processing and lacks capabilities for handling images, audio, video, and other multimodal information. This restricts its application in high-risk industries like e-commerce live streaming, finance, and healthcare. Reducing costs and enhancing multimodal processing is a crucial direction for DeepSeek’s future development.
The Potential of Twitter Data in AI Marketing
By leveraging Twitter data, businesses can access extensive feedback on user preferences and behavioral patterns—valuable for AI marketing. However, collecting data is just the beginning; efficiently and legally utilizing this data for informed decision-making is key. Many marketing service providers are exploring the use of AI to automate processing of Twitter data, such as sentiment analysis and trending topics, helping companies stay competitive. This represents not only a technological leap but also a transformation in marketing strategies.
Multimodal Processing: A Critical Competitiveness Factor for Next-Gen AI Models
From Li Yanhong's speech, it is clear that singular text processing can no longer meet the growing needs of enterprises. Future AI models must be multimodal, able to handle images, audio, and videos simultaneously. Multimodal capability is becoming a critical factor for businesses choosing AI solutions. Particularly in advertising design and brand promotion, multimodal processing offers more immersive and interactive user experiences, boosting conversion rates. Therefore, AI tech firms need to accelerate research and application of multimodal technology.
A Win-Win Strategy for Cost Control and Commercialization
Cost issues are major barriers to the scaled adoption of many AI applications. Li Yanhong emphasized, "Cost is a core bottleneck for the explosion of AI applications." To address this, Baidu has proposed several cost optimization measures in the newly released Wuzhen model, aiming to reduce processing costs by 80% to lower AI deployment thresholds for enterprises. This strategy broadens market coverage for AI technology and provides opportunities for small and medium-sized enterprises to explore emerging AI tools. Long-term cost optimization is vital for healthy growth in the entire AI+marketing ecosystem.
Innovative Ecosystem: Building a Brighter Future for AI Marketing
The future of AI+marketing relies not only on single technological advancements but also on a healthy, open collaboration ecosystem. Whether through Baidu’s “AI Open Plan” or contributions like Eureka AI Agent, the industry's progress is being accelerated. This means more opportunities for developers to contribute to this technological revolution, creating valuable AI marketing applications. Looking ahead, AI will play a role in every aspect of marketing, bringing unprecedented value to businesses.
From the wide application of AI in marketing to the effective utilization of Twitter data, and the exploration of future multimodal processing technology, we have witnessed the tremendous potential and promising prospects of AI marketing. However, how to transform these advanced technologies and methods into actual business growth remains a challenge for many companies. To help enterprises achieve more efficient conversions in digital marketing, we recommend an AI-based high-efficiency email marketing tool — Bay Marketing.
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