产品与人工智能,,en,我看到在商业中使用机器学习实现了不同的想法,,en,合法部门的低级别合同分析和零售的个性化,,en,同样的AI应用也在企业能力上升,,en,IT加强,,en,HR,,en,交易和客户服务,,en,这表明对技术的需求,,en,特别是即使面临诸如此类的挑战,,en,多方面的质量,,en,安全性和机器学习框架所需的准备,,en,它还提出，人工智能在企业中的进入将会提升业务的力度超过我们的想法,,en,正如一份类似的报告所表明的,,en,百分之受访者表示他们正在利用,,en,试验或研究其业务中的技术,,en,领导人还说，总的来说,,en
介绍
I saw different ideas implemented using machine learning in business; number of conferences and image-based cognitive applications are rising in particular markets, similar to fraud detection in fund, low-level contract analysis in the legitimate segment and personalization in retail. There are likewise AI applications rising in corporate capacities, 例如, IT bolster, HR, deals and customer service.
This shows the demand for the technology, especially even with challenges like confide in, many-sided quality, security and preparing required for machine learning frameworks. But, it also proposes that the entry of AI in businesses will lift the business more than we thinking off.
As indicated by a similar report, 58 percent of respondents said they are either utilizing, trialing or researching the technology in their business. Leaders additionally said that by and large, 29 在接下来的两年内，他们的应用程序的百分比将会随着人工智能的提高而改善 - 这是一个令人惊讶的看涨观点,,en,企业提高生产力的新机会,,en,在这个特定的情况下,,en,新的人工智能能力可以提升生产力和协作能力,,en,辅助软件,,en,在去年,,en,辅助,,en,认知亮点在生产力软件中变得更加主要,,en,更快地访问文件,,en,机械化的电子邮件答案和虚拟助理,,en,这些解决方案有助于为代表提供逻辑适用的数据，并且可以直接进行机器人化,,en,乏味的任务,,en,如安排会议,,en,帮助工作区门票,,en,预订会议室或冷凝内容,,en,稍后的,,en,他们同样可以使公司加强和监督员工的参与,,en.
New opportunity for businesses to lift their productivity
In this specific situation, new AI capacities posture energizing chances to advance productivity and collaboration.
Assistive software: In the previous year, assistive, cognitive highlights have turned out to be more predominant in productivity software, 例如, faster access to files, search, mechanized email answers and virtual assistants. These solutions help surface logically applicable data for representatives and can robotize straightforward, tedious assignments, such as scheduling meetings, making help work area tickets, booking conference rooms or condensing content. Later on, they may likewise enable firms to enhance and oversee worker engagement, 现在是基本的人力资源和权威挑战,,en,自然语言处理,,en,现在还没有一段时间我们还会观察到语音或自然语言处理在生产力应用中的整合,,en,话语的崛起控制了杰出的演讲者,,en,Google Home,,en,亚马逊Echo或最近推出的Alexa for Business展示了利用话语口述制作和完成记录,,en,或利用自然语言问题解析电子表格中的信息或控制作品,,en,已不再处于科幻领域,,en,也许人工智能的最大用途之一是确保组织数据,,en,组织开始利用AI来防范垃圾邮件,,en,电子邮件中的网络钓鱼和恶意软件,,en,而且全球信息的令人不安的攀升也在破裂,,en.
Natural language processing: It won’t be some time before we also observe the integration of voice or natural language processing in productivity applications. The ascent of discourse controlled brilliant speakers, 例如, Google Home, Amazon Echo or the as of late propelled Alexa for Business demonstrate that making and finishing records utilizing discourse dictation, or utilizing natural language questions to parse information or control works in spreadsheets, is no longer in the domain of sci-fi.
Security: Perhaps one of the greatest employments of AI will be to ensure organization data. Organizations are starting to utilize AI to secure against spam, phishing and malware in email, and also the disturbing ascent of information ruptures over the globe; 利用人工智能识别危险并增强事件反应可能呈指数级增长,,en,云安全销售商可以通过访问更多数量的标志来准备AI模型，所有这些都可以帮助企业及早发现危险,,en,也许这就是原因,,en,IT专家记录了网络安全，因为它们极有可能在其协会中使用AI,,en,有一点需要注意,,en,让企业一步一步地让他们的代表了解在生产力应用程序中的机器学习能力，这是至关重要的，因为它不会破坏客户体验的共同性，或者让工人们对于保护侵权的恐惧,,en,人工智能进入工作演习需要像YouTube这样的买家申请,,en,地图,,en,Spotify或亚马逊,,en. Cloud security sellers with access to higher volumes of signs to prepare AI models are all around set to enable organizations to use early detection of dangers. Maybe this is the reason, IT experts recorded cyber security as the in all probability embraced utilization of AI in their associations.
One thing to take note of: it’s essential that ventures step by step acquaint their representatives with machine learning abilities in productivity applications as not to undermine the commonality of the client experience or turn workers off in dread of protection infringement. 在这方面, the coming of AI into work exercises takes after buyer applications like YouTube, Maps, Spotify or Amazon, 那些技术对于那些不了解认知亮点的客户而言并不显眼,,en,那种方式,,en,我们概述的百分比工作人员表示，他们在自己的生活中不使用人工智能,,en,尽管广泛的利用AI这些有效的应用程序,,en,是一个重要的划分,,en,您的组织如何规划和准备变更,,en,为了在我们这个时代最重要的技术运动中脱颖而出，各种可以想象的组织都需要计划,,en,对于仍然无法开始的人来说,,en,这里有几件事情需要考虑,,en,尽早通过协作工具了解AI的代表,,en,新,,en,辅助人工智能包括协作软件，使工作人员熟悉该技术及其优点,,en,精明的电子邮件,,en,增强记录访问和查找,,en. The way that 54 percent of workers in our overview expressed they don’t utilize AI in their own life, in spite of the broad utilize AI these effective applications, is a vital delineation.
How your organization can plan and prepare for change
Organizations of every kind imaginable need to plan for a standout amongst the most essential technology movements of our age. For the individuals who still can’t seem to begin, here are a couple of things to consider:
Acquaint your representatives with AI in collaboration tools early. New, assistive AI includes in collaboration software enable workers to get acquainted with the technology and its advantages. Savvy email, enhanced record access and seek, 聊天机器人和话语助理都将是必要和开放的进步，可以节省代表时间,,en,加强工作流程并提升工作人员的遭遇,,en,利用利用AI实现信息安全的工具,,en,信息不断上升和内部人士面临危险,,en,结合云和多功能应用程序的开发利用,,en,意味着组织信息的可靠性可靠地处于危险之中,,en,融合基于机器学习的风险知识和不规则性检测的安全产品应该是一个关键需求,,en,尽量不要忽视变更管理,,en,利用AI高度影响分层文化的新协作工具,,en,然而，并非所有代表都会立即采取这种更好的工作方式,,en, enhance work processes and upgrade worker encounters.
Exploit tools that utilization AI for information security. Rising information breaks and insider dangers, combined with the developing utilization of cloud and versatile applications, implies the trustworthiness of organization information is reliably in danger. Security products that fuse machine learning-based risk knowledge and irregularity detection ought to be a key need.
Try not to disregard change administration. New collaboration tools that utilization AI highly affect hierarchical culture, however not all representatives will be promptly steady of this better approach for working. 尽管我们的概述揭示代表对人工智能有着积极的影响,,en,人工智能作为职业驱逐的源泉仍然存在很多恐惧和困惑,,en,了解进度管理的效果,,en,特别是良好的通信的重要性,,en,准备和,,en,最重要的是,,en,工作人员的参与全部通过程序,,en,人工智能在进入工作环境后，在未来几年内不会有任何不确定性遇到一些困难,,en,然而，估计变化远非命运和绝望情况，而是看到如何更充分地利用技术来帮助人们并为更敏捷的工作提供帮助,,en,它会着迷于了解随着AI在未来几年的发展，组织和技术市场将如何变化,,en, there is still much dread and perplexity encompassing AI as a wellspring of occupation dislodging. Be aware of the effect of progress administration, particularly the significance of good correspondence, preparing and, most importantly, worker engagement all through the procedure.
AI will no uncertainty confront a few difficulties throughout the following couple of years as it enters the working environment, however estimation is changing far from fate and-despair situations towards seeing how the technology can be utilized all the more adequately to help people and empower more astute work.
It will captivate to perceive how organizations and technology markets change as AI develops in the coming years.
Author Bio: Sunny Chawla是AIS Technolabs - 一家网页设计和开发公司的营销经理,,en,网页设计和移动应用程序开发,,en. Helping global businesses with unique and engaging tools for their business. He would love to share thoughts on Ecm Services, Web Designing and mobile app development.
