한어Русский языкEnglishFrançaisIndonesianSanskrit日本語DeutschPortuguêsΕλληνικάespañolItalianoSuomalainenLatina

the future of scenario-driven ai

the core of ai is to deeply integrate scenarios and realize practical application value. algorithms, computing power and data are the support of ai technology, but they can only truly help the development of enterprises when they play a role in specific scenarios. the significance of scenarios is that they connect technology and business and give ai a specific application direction.

peng xinyu believes that "scenario" is the key to connecting technology and business, and is also the key to innovation and competitiveness. from offline business to the internet and then to the mobile internet era, every technological innovation has brought new business models and consumer experiences. behind these changes are the results of deep insights into scenarios and innovative applications. especially in the era of artificial intelligence, scenarios have become a bridge connecting the two and are the key to promoting innovation and competitiveness.

scenario-driven ai practice

ai technology has shown its powerful power in practice. the financial field is a typical case. with the rise of ai big model technology, more than 80% of the surveyed banks are highly optimistic about the combination of ai big models and risk control scenarios. many companies have begun to explore ai applications and have achieved remarkable results. for example, byd's high-end brand denza automobile uses ai technology to build a digital marketing platform to achieve the integration of data, systems and business. by using real-time data monitoring and multi-dimensional dynamic analysis, it can quickly respond to market changes and provide real-time data support for marketing decisions, effectively improving the efficiency of potential customer invitations by 80% and the appointment test drive rate by 21.9%.

challenges and opportunities of scenario-driven ai

however, in practice, many companies still face challenges. how to choose the right scenario? how to integrate ai technology into specific businesses? how to ensure the application effect of ai technology? these problems need to be solved.

from the perspective of marketing, the three major challenges in traditional promotional activities are difficulty in understanding target users, preparing promotional ideas, and finding the right time for communication. through the new generation of "data + ai" intelligent marketing growth platform lingyang quick audience, companies can automatically collect and analyze target population portraits, reducing the time to generate insight reports by 50%. the intelligent marketing assistant allows the marketing team to generate more than 10 marketing posters in 3 minutes with one click, greatly improving creative efficiency, and creative production no longer needs to wait for scheduling. at the same time, intelligent timing reach technology optimizes communication timing and channels through intelligent analysis, increasing the reach visibility rate to 90%.

the future development direction of scenario-driven ai

the future development direction of ai technology will revolve around "scenarios". how to understand scenarios more deeply, how to better integrate ai technology, and how to apply ai technology to actual scenarios? this is an important direction to promote the continuous development of ai technology.