[article] 10659b4b-8bed-41c4-93d0-845347d2a67f

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AI Summary (English)
Title: CES 2025: Three AI Innovations Marketers Need to Watch

Summary:

At CES 2025, three AI subsets are generating significant buzz among marketers: agentic AI, on-device AI, and simulation AI. Agentic AI, autonomous agents performing tasks with minimal human oversight, is being explored for both consumer-facing applications and internal business operations. On-device AI, embedding AI directly into devices, promises enhanced personalization and immersive experiences through contextual data collection. Finally, simulation AI leverages digital twins to test marketing strategies and product performance in virtual environments.

Agentic AI, exemplified by Accenture's new suite of 12 agents and Salesforce's platform, is prompting questions among CMOs regarding implementation strategies—whether to build or buy agents, and how widely to deploy them within their organizations. The technology's potential to centralize data, identify growth opportunities, and optimize campaigns is highlighted.

On-device AI, as championed by Cathy Hackl of Spatial Dynamics, addresses the limitations of remotely connected AI by providing access to real-time environmental data. This allows for more personalized content and immersive experiences, particularly relevant with the rise of AI-powered wearables. Qualcomm's out-of-home advertising campaign in Las Vegas underscores the technology's growing presence.

Simulation AI, building upon existing digital twinning capabilities, allows brands to test marketing and products in virtual settings. This offers a cost-effective and efficient way to gauge consumer response before real-world launches, similar to the benefits of synthetic focus groups. The use of "large world models," similar to large language models, is key to this technology's potential.


Key Points:

1. 🤖 **Agentic AI:** Autonomous AI agents are gaining traction, offering potential for improved marketing campaign data analysis, growth opportunity identification, and campaign optimization. CMOs are exploring implementation strategies.
2. 📱 **On-device AI:** Embedding AI directly into devices provides access to rich contextual data, enabling enhanced personalization and immersive experiences, especially in wearables.
3. 🌐 **Simulation AI:** Utilizing digital twins and large world models, simulation AI allows for virtual testing of marketing campaigns and product performance, offering cost-effective insights.
4. 🤔 **CMO Considerations:** Marketers are grappling with key decisions regarding agentic AI, including whether to build or buy agents and the extent of their organizational deployment.
5. 📈 **Technological Advancements:** The convergence of AI with wearables and digital twinning is driving innovation in marketing and consumer experiences.
6. 🏢 **Industry Players:** Accenture, Salesforce, Qualcomm, Meta, and Nvidia are among the companies actively involved in developing and promoting these AI technologies.

AI Summary (Chinese)

Title: 2025 年 CES 展览:营销人员需要关注的三个 AI 创新

Summary:

在 2025 年 CES 展览上,三个 AI 子集在营销人员中引发了显著的关注:代理 AI、设备端 AI 和模拟 AI。代理 AI,即自主代理执行任务,且需要的人工监督最少,正在被探索用于面向消费者的应用和内部业务运营。设备端 AI,将 AI 直接嵌入设备中,通过上下文数据收集,有望增强个性化和沉浸式体验。最后,模拟 AI 利用数字孪生在虚拟环境中测试营销策略和产品性能。

以埃森哲 (Accenture) 的 12 个新代理套件和 Salesforce 的平台为例,代理 AI 促使首席营销官 (CMO) 思考实施策略——是构建还是购买代理,以及如何在组织内部广泛部署它们。该技术集中数据、识别增长机会和优化营销活动的能力得到了强调。

设备端 AI,由 Spatial Dynamics 的 Cathy Hackl 推广,解决了远程连接 AI 的局限性,通过访问实时环境数据来提供支持。这使得个性化内容和沉浸式体验更加完善,尤其是在 AI 驱动的可穿戴设备兴起的情况下。高通 (Qualcomm) 在拉斯维加斯的户外广告活动突显了该技术的日益普及。

模拟 AI 基于现有的数字孪生能力,允许品牌在虚拟环境中测试营销和产品。这提供了一种在实际发布前评估消费者反应的经济高效的方式,类似于合成焦点小组的好处。“大型世界模型”,类似于大型语言模型,是这项技术潜力的关键。


要点:

1. 🤖 **代理 AI:** 自主 AI 代理正在获得关注,为改进营销活动数据分析、识别增长机会和优化营销活动提供了潜力。首席营销官 (CMO) 正在探索实施策略。
2. 📱 **设备端 AI:** 将 AI 直接嵌入设备中,可以访问丰富的上下文数据,从而增强个性化和沉浸式体验,尤其是在可穿戴设备中。
3. 🌐 **模拟 AI:** 利用数字孪生和大型世界模型,模拟 AI 允许虚拟测试营销活动和产品性能,提供经济高效的见解。
4. 🤔 **首席营销官 (CMO) 的考虑:** 营销人员正在努力做出有关代理 AI 的关键决策,包括是构建还是购买代理,以及其在组织内的部署范围。
5. 📈 **技术进步:** AI 与可穿戴设备和数字孪生的融合正在推动营销和消费者体验的创新。
6. 🏢 **行业参与者:** 埃森哲 (Accenture)、Salesforce、高通 (Qualcomm)、Meta 和英伟达 (Nvidia) 等公司积极参与开发和推广这些 AI 技术。