From AI development trends to corporate transformation philosophy, from learning advanced ideas to sharing experiences of practitioners. We are here to record our in-depth thoughts on the AI era and to acenterprise every explorer.
The leap in large model capabilities, the maturity of the AI Agent tool chain, and the urgent need for enterprises to reduce costs and increase efficiency - these three forces have matured at the same time, and the implementation of enterprise AI has changed from "optional" to "must-have".
The knowledge of traditional organizations is lost with the flow of personnel, but the knowledge of AI-Native organizations continues to accumulate. Each delivery empowers the next—that’s the intelligence of compounding.
In-depth interpretation of Anthropic's Constitutional AI concept, Claude's design philosophy, and inspiration for enterprise AI applications. Security is not a restriction, but the foundation of trust.
In-depth interpretation of Sequoia Capital's latest AI investment report, analysis of the value distribution of the AI industry chain, and implications for corporate AI strategies.
Traditional consulting companies just leave after producing the PPT, and the development team does not understand the business. This gap is the root cause of failure in enterprise AI adoption. Our practice proves that the integrated model is the right answer.
From the apartment industry to the Tea chain, from new energy vehicles to cross-border trade, we systematically analyze the AI adoption opportunities, entry points and expected returns in the ten major industries.
From GPT to Agent, OpenAI is evolving from a "conversation tool" to an "autonomous execution system". What does this mean for the implementation of enterprise AI?
As AI consulting practitioners, we have seen too much industry chaos. This article candidly shares our observations, reflections, and persistence.