人工智能（AI）在金融业内成为一个关键因素，朝着增加收入和实现业务目标。从提供基于价值的商业策略，提高客户体验，增加的收入生成和降低成本，AI正则成为实现商业成功的重要技术进步。顶级管理层现在正在查看AI，以评估经济通过先进的分析和部署它以实现所需结果的业务领域。
商业福利技术的自然演变，我们从互联网上从纸质工作到互联网，现在迅速转变为AI，而且Finance行业也不例外。财务部门所涉及的繁重数据，使这项技术成为商业福利的主要资源。模式建立和识别过程是一种关键优势，它引起了对该技术的分析能力的增加。虽然AI对金融业带来了无数的福利，但在信任，偏见和监管遵守方面也有一些担忧。因此，将技术视为协助人类努力的手段是谨慎的，而不是更换人类参与。
Classifying Artificial Intelligence:
AI可以分为两个广泛类别 - 狭窄的AI和强壮的AI
Narrow AI:
This type of Artificial Intelligence is a specialized form of the technology that looks into a particular area of the business and fulfills a specific duty. The process is highly specialized and the deployment of the technology offers only those specific solutions. The tasks assigned to AI are narrow and it adheres only to its set protocol. An example of Narrow AI is ‘Apple’s Siri’. This intelligent technology is designed to gather information from the internet and hold meaningful conversations with a human. However, the technology is very specific and narrow in its approach, wherein it is only designed to address the specific demands of its system. Any requests that go above and beyond to offer holistic solutions, cannot be accomplished.
强壮的ai：
As the name suggests, this version of人工智能在本质上是更全面的与一个更广泛的范围d the ability to offer solutions that are all-rounded and meaningful. Its capability and functionalities are more encompassing and of a higher standard and it is geared toward offering analytics that extend beyond specific areas, by collecting information from various arenas to offer an overall solution. Strong AI is a close replication of the human mind and is capable of conducting analysis in an error-free fashion.
Through the use of Chatbots, Personal Assistants, Machine Learning, and Cognitive Computing, Artificial Intelligence can be specifically beneficial within the following sectors of the Finance Industry:
AI in Stock Trading:
股票交易有一段时间是在不使用计算机的情况下进行的手动业务。多年来，交易业务通过计算机化发展，现在正在通过AI革命。
人工智能前的挑战
使用标准技术缺乏创新能力，股票交易ydF4y2BaG行业一直面临挑战，如：
- Lack of identification of patters:人类参与鉴定模式是相当亚标准现象。这通常在特殊情况下进行，即使是，也容易发生滑动和错误。很少审查和确定无利可图的交易。
- 操作事务的依赖性：不幸的是，运营交易对人类执行的依赖性限制了及时运营，有时会导致大笔损失。库存交易员的可用性是阻碍迅速交易的另一个因素。
- 基本分析的难度：由于分析所需的数据量大，通常以散发性和低效的方式进行的人类尝试识别市场的实力和弱点。这导致市场误解和情绪化的高率。
解决方案AI提供：
毫无疑问，市场随着光线和巨大的计算速度转移，毫无疑问，AI对这一部门的即兴创作具有无限的潜力。这种技术创新旨在改变股票交易我们知道它。
- Pattern Identification through Machine Learning (ML):Machine Learning is one tool of Artificial Intelligence that can create brand new systems to swiftly spot patters and notice traction with suggestions for improvisation through its financial applications. This further includes the identification of unprofitable transactions.
- 通过AI进行操作表现：AI技术的部署可以完全控制不需要人为干预的操作交易。这消除了由人类执行引起的依赖关系和延迟。
- 预测分析能力：AI Technologies可以进一步预测图案并向相同的建议提供建议。这是通过从社交媒体和其他在线平台的自动化和广泛的研究完成的，这些平台累积地分析了衡量市场的感受和趋势。然后，这些自动化研究工具可以对可能的市场运动进行预测。
