人工智能与知识管理关系刍议

在复杂而变化迅速的环境中,知识、信息和将知识转化为生产力的能力成为企业赢得竞争的关键.企业信息建设必须给企业带来核心竞争力,否则企业就没有动力去进行信息建设之类的事情.因此,知识管理和人工智能在今天复杂快变的环境下都面临新的挑战和机遇,正确认识人工智能,知识管理以及二者之间的关系成为企业管理的需求.本文阐述人们对知识管理和人工智能关系的一些认识,重点讨论二者在复杂多变环境下的融合发展及其和企业核心竞争力的关系.     

试析AI数据分析技术对零售市场终端监测和反馈的作用

近年来,线下零售企业面临着巨大的挑战,零售市场终端监测和反馈更显意义重大,而AI数据分析技术为终端监测和反馈提供了新思路。本文首先阐述了零售众包模式和流程,指出了关键要素,并重点分析终端监测和反馈过程中,AI数据分析技术的具体作用,包括提升监测数据分析效率、节省市场终端监测成本、加强分析结果的可靠性等。最后,对零售企业商业模式的发展策略展开了探讨,以期为优化零售市场终端监测提供启示与借鉴。     

The next stage of U.S. communications policy: The emerging embedded infosphere

The United States needs to reimagine the basic principles of its telecommunications and information policy to fit an emerging society in which networking and intelligence are embedded into an increasing number of everyday things which constantly monitor and measure our lives. This emerging environment is an always-on, ubiquitous, integrated system comprised of the Internet of Things, Big Data, Artificial Intelligence/Intelligent Systems and the Intercloud, which act together as a single system, referred to here as the “Embedded Infosphere” (EI). This development is driving the latest stage – the third – in the evolution of U.S. communications policy.Each of the components of the EI presents unique challenges, but the greater concern is all of them acting in concert. These developments bring into focus many topics that have been outside the traditional communications policy envelope, and exceed the portfolios of existing agencies and institutions. This article envisions a new “EI policy space,” grounded in established societal values, and built on the experience of the previous stages.There are appropriate policy responses to each of the challenges, but these responses need to be seen in a holistic perspective, as they are all interconnected. Many of the issues such as privacy, security, consumer protection, and data stewardship are common across several elements. The larger goal is to establish a framework for an integrated policy structure which can address unpredictable emergent conditions, while allowing markets to flourish without unduly burdensome regulations, restrictions or uncertainties.This articles suggests a high-level analytical framework of criteria against which proposed EI policies can be measured. While there may be no “perfect” policies, some may be better (or worse) than others. It also offers a political process designed to incorporate the concept of the EI into national policy thinking. This approach should be implemented through a series of steps and should provide flexibility for development. The initial step is a process by which the EI can be acknowledged, its development analyzed, and the national interests institutionalized. The U.S. Senate has already initiated this process with the pending “DIGIT” Act, designed to bring together the core federal stakeholders and open a policy discourse which will be expanded over time to other key stakeholders. This should lead to the development of a national EI strategy.Since the EI is progressively global, the article suggests how both the normative and regulatory dimensions can be approached in the global context. It raises the possibility of a restructured ICANN “Empowered Community” as a possible venue for developing policies and recommendations in this area. It notes that since global unanimity is unlikely, non-governmental regimes will likely develop to address the unresolved policy interstices.     

试析商务智能技术在经济管理信息系统中的应用

商务智能技术（Business Intelligence）进入中国已近40年时间,今天众多领域的广泛应用推动了中国信息化进程。目前国内在税务、财政、外汇管理等重要政府经济管理部门都建立了自己的子系统或决策支持系统（DSS）,初步的应用已经体现出BI技术在提高效率和决策科学性,在保持合理运行成本方面的作用。     

Computational cognitive assistants for futures studies: Toward vision based simulation

Many foresight researchers believe that quantitative simulations have a very restricted contribution in futures studies due to their simplicity and lack of creativity. While qualitative methods, taking advantage of the human cognitive system, have a great potential in addressing a wide range of problems in futures studies, this potential is mostly due to the human visual logic that can handle the task of imagining future scenarios much better than mathematical logic.On the other hand, computational methods benefit from the advantages of silicon-based systems namely speed, large memory, rapid networking, and communication. Hence, it would be extremely beneficial to come up with a solution that combines the positive sides of both qualitative and computational approaches. Cognitive artificial agents are computational units that make use of the human cognitive system. Their interaction with foresight and futures researchers can result in promising solutions for the problems addressed in futures studies. In addition, these agents can serve as a great source of inspiration for taking the first step towards vision based computers that can simulate humans’ imaginations of the future.This paper reviews some of the previous attempts in this field and finally sheds light on the main issues where methods in futures studies can play a key role in the future of Human Computer Interaction systems. Our suggested architecture for a future studies interactions-based system along with its justifications and specifications is provided in the form of a request for proposal.