Artefact Value By Data

Agentic AI 将改变营销部门的能力

许多营销领导者都面临着同样的矛盾:尽管对生成式 AI 进行了大量投资,但对成本、速度和性能的预期影响并未实现。为什么会这样?因为大多数 AI 只有 “思考”,而没有行动。代理型 AI 改变了这一状况。.

制定能源与工业领域的 AI 战略

For the last 18 months, 'Generative AI' has dominated every C-level strategy session. But what if that's already the old conversation? In the energy and industry sectors, the discussion is rapidly shifting from GenAI to Agentic AI. This isn't just an incremental update; it's a new paradigm, one that moves from simply augmenting tasks to completely reinventing core industrial processes.

AI 控制广告:广告的未来

当 OpenAI 发布其新的由 ChatGPT 支持的浏览器 Atlas 时,它不仅仅是发布了另一款产品。它打开了一扇门,一扇通往下一个人机交互时代的门,一扇不可避免地通往广告业新领域的门。.

Data 面向代理时代的平台

Most companies are not ready to replace a dashboard era data stack with an AI stack. Salesforce's latest State of Data & Analytics indicates that 84% of data and analytics leaders say their strategies require a complete overhaul before AI ambitions can succeed. Leaders estimate that 26% of their data is untrustworthy, only 43% report formal data governance frameworks, and around 50% are not confident in their ability to generate and deliver timely insights. At the same time 70% believe the most valuable insights are locked in unstructured data. The conclusion is straightforward: the obstacle is not enthusiasm but foundation, and that foundation must change before agentic systems can scale.

用 AI 代理商革新零售业--业界准备好了吗?

零售商在竞争激烈的动态环境中经营,面临着从价格敏感性到复杂物流等各种挑战。要想蓬勃发展,他们必须采用创新的解决方案来简化运营并提高客户满意度。本文探讨了 AI 代理--能够观察、推理和行动的自主系统--如何重新定义零售业,并将零售业的竞争力提升到新的水平。.

案例研究:加快 GenAI 在大宗商品交易中的应用

When a leading global commodity trading company sought to accelerate its AI transformation, it turned to Artefact to turn potential into measurable performance. The goal was to make generative AI a daily productivity tool across departments while ensuring robust governance, compliance, and lasting cultural change.

混合代理组织:企业的下一个操作系统

Every decade or so, the way companies organize themselves quietly changes – not through grand announcements, but through a series of accumulated decisions that suddenly reveal a new pattern. We saw it with digital transformation in the 2000s, when data and connectivity became the fabric of the modern enterprise. Then came the agile revolution, which redefined how teams collaborate, iterate, and deliver value. Each shift didn’t just alter tools or processes—it changed what we believed possible about work itself.

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