每一种职业都有自己的缩略语、首字母缩略词、口头禅和行话集合，作为他们的技术和工具的简写，这没什么不同。然而，与其他不同的是，IT语言倾向于在企业和社会本身蔓延开来。有广告称赞云计算和数据驱动的决策。人们经常会称赞他们最新的应用，比较用户体验，讨论下载量和部署情况。但说实话，上一次有人(金融业以外)分享他们对摊销或资产配置的看法是什么时候?
显然，人们喜欢谈论科技。但他们并不总是掌握正确的术语。或者他们选择短语。或者过度使用。通常情况下，它们会让人困惑、恼火或失去其真正的意义。
一、数字化转型（Digital transformation）
数字化转型是最被滥用的流行语，被引用的来源比其他任何流行语都多。这并不会让IT行业的任何人感到惊讶，因为几乎或大或小的任何变化现在似乎都被贴上了变革性的标签。
Intermountain Healthcare的首席信息官Ryan Smith表示:“这已经成为一个被过度使用的术语，似乎被广泛用于实现任何数字化的能力。这个术语真正应该用来指数字技术的融合——例如移动、云、数据和设备的融合——从根本上改变/颠覆传统的业务流程，这种流程要么融合了数字和物理体验，要么提供了传统的纯数字化替代方案。”
Ryan Smith补充说:“真正的数字化转型通常需要有效利用领导力、数字技术和运营变革管理。”
二、战略（Strategic）
麻省理工学院斯隆管理学院(MIT Sloan School of Management)高级讲师、麻省理工学院斯隆管理学院首席信息官研讨会(CIO Symposium)首席信息官奖联合主席George Westerman表示，战略也应该在这份榜单上占有一席之地。
他说，人们错误地认为自己是战略性的，仅仅是因为他们有一个商业目标，朝着一个特定的目标工作，或者就首席信息官的情况而言，向首席执行官报告。
他补充道:“有战略眼光是我们都想做的事情之一，但如果你真的很有战略眼光，你就会知道自己的目标是什么，并有一个实现目标的计划，即使你在前进的路上要做一些调整。”
三、敏捷（Agile）
今天的人们不仅想要有战略眼光，他们也喜欢认为自己是敏捷的。但在办公室里，当员工和IT团队特别谈论敏捷时，可能会产生困惑。他们说的是适应能力吗?或者按照敏捷方法开发软件?
威斯康星大学拉克罗斯分校(University of Wisconsin-La Crosse)的临时CIO Jim a . Jorstad说，他听说过人们将敏捷应用于一系列概念，尽管他主张业务和IT部门在具体谈到开发方法时更坚持使用这个术语。
“这不仅仅是灵活性、适应性或快速改变的问题。敏捷比这更具体，”他说。“这是一种工作方法，但我不认为人们真正知道这是什么意思。”
四、需求管理（Demand management）
世界各地的首席信息官们都面临着一长串的要求，这迫使他们非常擅长为最重要的项目排序。但是，他们能够或应该管理别人的需求是一个艰巨的任务，这使得这个词在这个榜单上占有一席之地。
“有许多不同的利益相关者，他们有许多不同的需求，这些需求似乎每周都在变化。这种持续的变化为IT部门带来了持续的需求。IT可以管理需求的观念是错误的;IT可以简单地管理其容量，”El里约热内卢Health的首席信息官、ISACA新兴趋势工作组成员Susan Snedaker说。
五、带宽（Bandwidth）
带宽这个术语在这里也有投票权，因为它经常被滥用。正如许多技术专家所知，这个词有一个非常技术化的含义。但现在它被错误地用作可用时间的参考。
“这是为了速度和容量。这与你的时间无关，”Jorstad抗议道。“这是一个分散注意力的词。所以你就直说了:‘我没时间做这个。’”
六、无需代码/无需IT（No-code/no IT required）
几位首席信息官认为这些术语用词不当，他们指出，首先，所有软件都有代码(即使用户可以在不实际编码的情况下进行一些简单的编程)，其次，企业软件部署仍然需要IT工作。
这是我见过的被滥用和使用的最令人讨厌的流行语之一。当我读到一个解决方案供应商的网站声称‘不需要IT’时，我总是很恼火，”Snedaker说。
她说，这不仅仅是一个语言问题。
Snedaker解释说:“‘不需要IT’的广告误导了组织(和最终用户)，并创造了一条潜在危险的影子IT路径。虽然供应商的解决方案可能不需要大量的IT参与，但它总是需要一些IT参与——从评估解决方案的安全性(特别是对于受监管行业的组织)到确保用户得到适当的供应，从确保企业数据的安全到确保数据可以返回。”
她补充说:“资讯科技部门应始终以合作伙伴的身份参与，推动由组织领导层批准的资讯科技解决方案，用于开展公司业务。”
七、 人工智能、机器学习和智能技术（Artificial intelligence, machine learning, and smart tech）
也许人们对《终结者》(Terminator)电影中的准科学过于信任，或者这个词让他们失去了信心，但科技领袖们将人工智能和几个相关术语列为最容易被误解的流行语。
“机器学习领域是当前被滥用的流行语的一个重要来源。尤其是对训练过的模型预测能力的过度炒作，即使是完全训练过的模型也很少给出绝对的答案，只是统计上可能的答案，”数据转换实验室的首席信息官Tammy Bilitzky说。
八、数据仓库（Data warehouse）
作为再投资基金(Reinvestment Fund)的临时IT主管，Barry Porozni收到了很多关于数据仓库的请求——更准确地说，这实际上是同事们需要的数据。
“这个词已经与任何数据联系在一起。它有了自己的生命。所以我们听到，‘我们需要一个数据仓库’，而他们真正需要的是访问数据。”
值得庆幸的是，他补充说，误用这个词的人似乎主要是非IT工作者，而IT团队通常会找出他们的同事真正想要的是什么。
九、大数据，数据挖掘，可操作分析（Big data, data mining, actionable analytics）
Porozni并不是唯一一个呼吁滥用数据术语的人。同样地，Bilitzky将大数据、数据挖掘和可操作分析添加到列表中，并表示对它们的含义和实际交付的内容仍然存在一些误解。
她说:“这三个词我仍然听到人们一直在使用，通常与人工智能和机器学习的流行语相结合。这意味着，这些功能已经进化为按下按钮的功能，但事实并非如此。诚然，凭借可扩展的基于云的处理能力和数据转换能力，几乎所有规模巨大的公司都已经围绕大数据实施了系统。各组织日益认识到其数据的价值，以及有效收集和协调来自不同且往往模糊不清来源的数据所面临的挑战。但从那时起就不是一帆风顺了。尽管市场上有各种分析产品，但可操作的分析仍然需要专业知识和人类智能来理解和解释数据的所有细微差别，验证结论，并以明确的方式准确识别问题领域，从而制定可行的规划。”
十、微服务（Microservices）
在技术主题上，Bilitzky也提到了微服务。
“微服务是一种架构风格，它包含一组松散耦合的服务，每个服务都应该易于测试，彼此独立，并公开最少的功能。相反，它意味着任何使用多个web服务调用的系统，”她说。
十一、多云储存（Multicloud）
在类似的情况下，美国Silica的副总裁兼首席信息官Ken Piddington指出了多云这个术语的滥用。他采用了他所谓的“最真实的定义”，即“你已经用来自不同云提供商或服务的多个云组件构建了一个单一系统”。
然而，许多人认为多云描述的是一个混合了云供应商和软件即服务产品的企业。
他说:“我们看到越来越多的商界人士搞错了，但也有一些技术人士搞错了。”“我不认为用错这个词会导致世界末日，但它一直困扰着我。但一旦你理解了它，你就可以更好地谈论它的挑战和追求它的理由。”
十二、 IS和IT以及其他意义略有变化的技术术语（IS vs. IT and other tech terms with slight variations in meaning）
特拉华谷社区卫生副总裁兼首席信息官Isaiah Nathaniel指出，误用IS和IT是有点问题和烦人的。他说，信息系统和信息技术经常可以互换使用，尽管它们并不相同。再来看看最真实的定义，IS传统上适用于技术、人员和流程——这使得它比以技术为中心的绰号it更广泛。
Nathaniel还指出了远程医疗和远程医疗的相互滥用，因为远程医疗包含了比远程医疗更广泛的远程服务。
虽然这些区别看起来微不足道，但纳撒尼尔说他喜欢把它们说出来。他表示:“这是一个很好的问答之夜。”他还承认，在某些术语(无论是这些还是其他术语)的范围上出现偏差，有时会阻碍商业和战略讨论。
十三、新兴科技（Emerging tech）
皮丁顿说，他发现许多人喜欢把任何对他们的企业来说是新的技术(或者只是他们的词汇表上的新技术)都贴上新兴技术的标签，而在许多情况下，这些技术已经相当成熟了。他将人工智能、RPA和物联网归入这一阵营。
十四、元宇宙（Meta anything）
有一大堆术语、技术和概念可以归为这一类。它们包括元宇宙、区块链、加密、数字双胞胎和nft。TEKsystems的首席技术官Ram Palaniappan解释说，元宇宙“就是在虚拟世界中创建一个对等的空间”，但他和其他人表示，许多人仍然难以理解这个概念。
十五、新常态（New normal）
这是另一个因过度使用和缺乏实际意义而受到批评的术语。
科技公司Presidio解决方案工程高级副总裁Dan O ‘Brien表示:“在我从事科技行业的20多年里，我们经历了许多加速变革的事件:2001年的互联网崩盘、2008年的金融危机，以及最近的大流行。我已经意识到变化是不断的，通常是朝着更好的方向发展，事实上这是正常的。只有当技术不再是改变我们生活和经历的核心时，我才会担心，也不敢承认一个新常态的世界。”
原文：
Every profession has its own collection of abbreviations, acronyms, catchphrases, and jargon that serve as shorthand for their techniques and tools. IT is no different.
Yet, unlike other disciplines, the language of IT tends to spill out across the enterprise and society itself. There are ads praising cloud computing and data-driven decision-making. People routinely praise their latest apps, compare user experiences, and chat about downloads and deployments. But honestly, when was the last time anyone (outside of finance) shared their thoughts on amortization or asset allocation?
Clearly, people like to talk tech.
But they don’t always get the terminology right. Or they co-opt phrases. Or overuse them. Often to the point where they’re confusing or irritating or have lost their true meaning. With that in mind, CIO.com polled a collection of tech leaders to get their ideas. Here are 15 of the most often misused buzzwords they’ve encountered in IT.
1. Digital transformation
Ryan Smith, vice president and CIO, Intermountain Healthcare
Intermountain Healthcare
Digital transformation tops the list as the most misused buzzword, cited by more sources than any other. That shouldn’t surprise anyone in IT — or business in general — as nearly any change (big or small) seems to now be labeled transformative.
“This has become a very overused term, used very broadly to seemingly apply to implementing any digital capability,” says Ryan Smith, CIO of Intermountain Healthcare. “The term should really be used to refer to the convergence of digital technologies — e.g., convergence of mobile, cloud, data, and devices — to substantially change/disrupt a traditional business process that either blends digital and physical experiences or offer a pure digital alternative to a traditional.”
He adds: “True digital transformation typically requires the effective use of leadership, digital technologies, and operational change management.”
2. Strategic
Strategic also deserves a spot on this list, says George Westerman, senior lecturer at the MIT Sloan School of Management and CIO award co-chair of the MIT Sloan CIO Symposium.
He says people mistakenly think they’re strategic simply because they have a business goal, work toward a specific objective, or — in the case of the CIO —report to the CEO.
George Westerman, senior lecturer, MIT Sloan School of Management
MIT Sloan School of Management
“Strategic is one of those things we all want to be, but if you’re being really strategic you know where you’re going and have a plan to get there even if you’re doing some pivoting along the way,” he adds.
3. Agile
People today not only want to be strategic; they like to think they’re agile, too. But confusion can arise in the office as workers and IT teams in particular talk about being agile. Are they talking about being adaptable? Or about developing software following the Agile methodology?
Jim A. Jorstad, interim CIO at the University of Wisconsin-La Crosse, says he has heard people apply agile to a range of concepts, although he advocates for the business and IT to have more adherence to the use of the term when speaking specifically about the development methodology.
“It’s not just about flexibility and adaptable or quick to change. Agile is more specific than that,” he says. “It’s a work methodology, but I don’t think people really know that’s what it means.”
4. Demand management
CIOs everywhere face a long list of requests, forcing them to get really good at prioritizing the most important projects. But the idea that they can or should manage others’ demands is a tall order — earning the term a spot on this list.
“There are many different stakeholders with many different needs that seem to change on a weekly basis. This constant change creates constant demand on the IT department. The notion that IT can manage demand is false; IT can simply manage its capacity,” says Susan Snedaker, CIO at El Rio Health and a member of the ISACA Emerging Trends Working Group.
5. Bandwidth
The term bandwidth also gets a vote here, given its common misappropriation. As many technologists know, the word has a very technological meaning. But now it’s incorrectly used as a reference to available time.
Susan Snedaker, CIO, El Rio Health
El Rio Health
“It’s for speed and capacity. It’s not about your time availability,” Jorstad protests. “It’s a word that distracts. So just say what you mean: ‘I don’t have time to work on this.’”
6. No-code/no IT required
Several CIOs cited these terms as misnomers, noting that, first, all software has code (even if the users can do some light programming without actually having to code) and, second, enterprise software deployments still require IT work.
“This is one of the most loathsome buzz phrases I see used and misused. I am always annoyed when I read a solution vendor’s website claiming ‘no IT required,’” Snedaker says.
This is more than a linguistic issue, she says.
“Advertising ‘no IT required’ misleads organizations (and end users) and creates a potentially dangerous shadow IT path,” Snedaker explains. “While a vendor’s solution may not require heavy IT involvement, it always requires some IT involvement — from assessing the security of the solution (especially for organizations in regulated industries) to ensuring users are properly provisioned, and from ensuring corporate data is safe to ensuring data can be repatriated.”
She adds: “IT should always be at the table as a partner in facilitating the IT solutions approved by organizational leadership for use in conducting company business.”
7. Artificial intelligence, machine learning, and smart tech
Tammy Bilitzky, CIO, Data Conversion Laboratory
Data Conversion Laboratory
Maybe people have put too much faith in the quasi science in the “Terminator” movies, or the term throws them off, but technology leaders list artificial intelligence and several related terms as their picks for most misunderstood buzzwords.
“The machine learning space is a great source for the current misused buzzword crop. Especially the overhype of the predictive power of trained models, even thoroughly trained models rarely give absolute answers, just statistically likely ones,” says Tammy Bilitzky, CIO of the Data Conversion Laboratory.
8. Data warehouse
As Reinvestment Fund’s interim head of IT, Barry Porozni gets lots of requests for a data warehouse — when, more correctly, it’s really the data that colleagues need.
Barry Porozni, interim head of IT, Reinvestment Fund
Reinvestment Fund
“The term has become associated with anything data. It took on a life of its own. So we hear, ‘We need a data warehouse,’ when what they really need is access to data,” Porozni says.
Thankfully, he adds, the misuse of the term seems to be mostly among non-IT workers and the IT team typically teases out what their colleagues are really after.
9. Big data, data mining, actionable analytics
Porozni isn’t the only one calling out the misuse of data terms. Bilitzky, likewise, adds big data, data mining, and actionable analytics to the list, saying that there remains some misunderstanding of what they mean and what they actually deliver.
“This trio of words I still hear used all the time, often layered with the AI and ML buzzwords,” she says. “The implication is that these have evolved to be push-button capabilities, but that is still not the case. It is true that with extendable cloud-based processing power and data conversion capabilities, almost all companies of significant size have already implemented systems around big data. Organizations increasingly recognize the value of their data and the challenges associated with effectively collecting and harmonizing it from diverse and often obscure sources. But it’s not smooth sailing from that point forward. Despite all the analytics products in the marketplace, actionable analytics still entails subject matter expertise and human intelligence to understand and interpret the data with all its nuances, verify conclusions, and accurately identify the problem areas in a clear manner that leads to viable planning.”
10. Microservices
Staying with the technical theme here, Bilitzky calls out microservices, too.
Ken Piddington, vice president and CIO, U.S. Silica
U.S. Silica
“Microservices is an architectural style that embraces a loosely coupled group of services each of which should be easy to test and independent of each other and expose a minimum of functionality. Instead, it has come to mean any system that uses more than one web service call,” she says.
11. Multicloud
On a similar note, Ken Piddington, vice president and CIO of U.S. Silica, calls out the misuse of the term multicloud. He goes with what he calls the “truest definition,” which is when “you have architected a single system with multiple cloud components from different cloud providers or services.”
Yet many people think multicloud describes an enterprise that has a mix of cloud vendors and software-as-a-service offerings.
“We see more businesspeople get it wrong, but also some tech people, too,” he says. “I don’t think it’s the end of the world using this one wrong, but it’s always bothered me. But then once you understand it, you can have a better conversation about the challenges of it and the reasons to go for it.”
12. IS vs. IT (and other tech terms with slight variations in meaning)
Isaiah Nathaniel, CIO, Delaware Valley Community Health
Delaware Valley Community Health
Isaiah Nathaniel, vice president and CIO of Delaware Valley Community Health, cites the misuse of IS and IT as slightly problematic and annoying. He says information systems and information technology are often used interchangeably even though they’re not the same. Going again with the truest definition, IS traditionally applies to the technology, people, and processes — making it broader than the technology-focused moniker that is IT.
Nathaniel also calls out the interchangeable misuse of telehealth and telemedicine, as telehealth encompasses a broader range of remote services than telemedicine.
Although such distinctions might seem trivial, Nathaniel says he likes to call them out. “It’s a good trivia night thing,” he says, acknowledging, too, that misalignment on the scope of certain terms — whether these or others — can sometimes hinder business and strategic discussions.
13. Emerging tech
Piddington says he’s come to see that many people like to label any technology that’s new to their enterprise (or simply new to their vocabulary) as emerging tech when in many cases they’re quite mature. He puts AI, RPA, and IoT in this camp.
Ram Palaniappan, CTO, TEKsystems
TEKsystems
14. Meta anything
There’s a whole bunch of terms, technologies, and concepts that can be grouped in this category. They include metaverse, blockchain, crypto, digital twins, and NFTs. As Ram Palaniappan, CTO of TEKsystems, explains, the metaverse is “all about creating an equivalent in a virtual world” yet he and others say many people still struggle to get their heads around this idea.
15. New normal
This is another term criticized for both its overuse and its lack of any real meaning.
Dan O’Brien, senior vice president of solutions engineering, Presidio
Presidio
“In my 20-plus years in technology we have experienced a number of events that accelerated change: the dot.com crash in 2001, the financial crisis of 2008, and the recent pandemic,” says Dan O’Brien, senior vice president of solutions engineering at tech company Presidio. “I’ve come to the realization that change is constant, often for the better, and in fact it’s actually normal. It’s when technology is no longer at the heart of enabling change in our lives and experiences that I will be worried and afraid to admit of a world that is a new normal.”
本文由数字化转型网翻译而成，作者：Mary Pratt，翻译：数字化转型网宁檬树；审核翻译：数字化转型网默然。
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